External Link : https://nic.lab.uec.ac.jp/index.php/hiroyukisato_en/

Doctor of Engineering, Shinshu University, Mar. 2009

Master of Engineering, Shinshu University, Mar. 2005

Bachelor of Engineering, Shinshu University, Mar. 2003

Optimization

Multi-objective Optimization

Many-objective Optimization

Evolutionary Computation

Time-series Forecast

Temporal Hierarchical Memory

Informatics, Soft computing

Apr. 2024 - Present
Tokyo University of Foreign Studies, Part-time Lecturer

Apr. 2024 - Present
The University of Electro-Communications, Department of Informatics, Graduate School of Informatics and Engineering, Professor

Apr. 2019 - Mar. 2024
Hoshi University, Part-time Lecturer, Japan

Apr. 2016 - Mar. 2024
The University of Electro-Communications, Department of Informatics, Graduate School of Informatics and Engineering, Associate Professor, Japan

Apr. 2010 - Mar. 2016
The University of Electro-Communications, Department of Informatics, Faculty of Informatics and Engineering, Graduate School of Informatics and Engineering, Assistant Professor, Japan

Apr. 2011 - Jun. 2011
CINVESTAV-IPN (Centro de Investigación y de Estudios Avanzados del IPN), Departamento de Computación, Visiting Researcher, Mexico

Apr. 2009 - Mar. 2010
The University of Electro-Communications, Department of Human Communication, Faculty of Electro-Communications, Assistant Professor, Japan

Apr. 2005 - Mar. 2009
EPSON AVASYS CORPORATION

Apr. 2006 - Mar. 2009
Shinshu University, The Interdisciplinary Graduate School of Science and Technology, Department of Mathematics and System Development, Doctor of Engineering, Japan

Apr. 2003 - Mar. 2005
Shinshu University, The Division of Science and Technology, Department of Electrical and Electronic Engineering, Master of Engineering, Japan

Apr. 1999 - Mar. 2003
Shinshu University, Faculty of Engineering, Department of Electrical and Electronic Engineering, Bachelor of Engineering, Japan

2022 - Present
Chair, IEEE CIS Task Force on Many-Objective Optimisation

Apr. 2021 - Present
運営委員会 運営委員, 情報処理学会 数理モデル化と問題解決研究会

Jul. 2015 - Present
編集委員, Swarm and Evolutionary Computation (ELSEVIER)

Mar. 2012 - Present
論文誌編集員, 進化計算学会

Mar. 2012 - Present
専門委員, 進化計算学会

2011 - Present
Program Committee, Genetic and Evolutionary Computation Conference

2010 - Present
Technical Program Committee, IEEE Congress on Evolutionary Computation

Apr. 2025 - Mar. 2027
Editorial committee member, Information Processing Society of Japan, Society

Apr. 2025 - Mar. 2026
Vice Chairperson, Computational Intelligence Section, The Society of Instrument and Control Engineers, Society

Apr. 2025 - Apr. 2025
Organizing Co-Chairs, 2025 9th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2025), Others

Apr. 2023 - Mar. 2025
Editorial Advisory Board, Transactions on Electrical and Electronic Engineering, The Institute of Electrical Engineers of Japan (IEEJ)

Jun. 2024 - Jul. 2024
On-Line Conference Co-Chairs, IEEE WCCI2024

Jul. 2022 - Jul. 2023
EMO Track chair, Genetic and Evolutionary Computation Conference

Apr. 2019 - Mar. 2023
編集委員, 情報処理学会 論文誌 数理モデル化と応用編集委員会

Dec. 2021 - Nov. 2022
論文誌, 進化計算シンポジウム2021特集号編集委員, 進化計算学会

Oct. 2017 - Sep. 2021
理事(研究会担当), 進化計算学会

Jun. 2020 - Mar. 2021
論文誌ジャーナル/JIP 査読委員, 情報処理学会

Apr. 2017 - Mar. 2021
幹事, 情報処理学会 数理モデル化と問題解決研究会

Jun. 2016 - May 2020
編集委員（基盤グループ）, 情報処理学会 論文誌 ジャーナル編集委員会（WG）

Jun. 2016 - May 2020
論文誌ジャーナル/JIP編集委員（Computing Group）, 情報処理学会

Dec. 2018
Program Committee Vice Chair, SCIS&ISIS2018

Sep. 2018
2018 JPNSEC International Workshop on Evolutionary Computation, Program Chair, JPNSEC

Jul. 2018
Local Arrangement, Local Financial Chair, Student Affair Chair, GECCO2018(Genetic and Evolutionary Computation Conference)

Apr. 2013 - Mar. 2017
運営委員会 運営委員, 情報処理学会 数理モデル化と問題解決研究会

Dec. 2016
進化計算シンポジウム2016 プログラム委員長, 進化計算学会

Dec. 2015
進化計算シンポジウム2015 実行委員, 進化計算学会

Mar. 2014
第6回進化計算学会研究会 実行委員長, 進化計算学会

Dec. 2012
進化計算シンポジウム2012 実行委員, 進化計算学会

Dec. 2012
論文誌 進化型多目的最適化特集号 副編集委員長, 進化計算学会

Apr. 2010 - Mar. 2012
専門委員, 人工知能学会進化計算フロンティア研究会

Apr. 2025
2025 9th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2025), An award granted to a single presentation out of seven in a given session.
Partial Ensemble Estimation for Complex-Shaped Pareto Fronts
Excellent Oral Presentation, Hiroyuki Sato
International society, Japan

Apr. 2025
IEEJ Transactions on Electrical and Electronic Engineering, Top Viewed Article
Evolutionary Many-objective Optimization: Difficulties, Approaches, and Discussions
Top Viewed Article, Hiroyuki Sato;Hisao Ishibuchi
Official journal, Japan

Jul. 2024
2024 IEEE Congress on Evolutionary Computation (CEC2024), 全投稿論文(665件)の中で1件に与えられた賞
Designing Helper Objectives in Multi-objectivization
Best Paper Award, Shoichiro Tanaka;Arnaud Liefooghe;Keiki Takadama;Hiroyuki Sato
International society

Dec. 2023
進化計算学会, 当該学術雑誌において，審査によって毎年原則1件に与えられる賞．
Niching Migratory Multi-Swarm Optimization for Multiple Local Minimum Search: Towards Constant population and Concurrent Search by Physical Robots
論文誌論文賞, Yusuke Maekawa;Kodai Kawano;Sho Kajihara;Yukiko Fukumoto;Hiroyuki Sato;Keiki Takadama
Official journal

Dec. 2023
進化計算学会, 当該学術雑誌において，審査によって毎年原則1件に与えられる賞．
Misclassification Detection and Correction based on Conditional VAE for Rule Evolution in Learning Classifier System
論文誌論文賞, Hiroki Shiraishi;Masakazu Tadokoro;Yohei Hayamizu;Yukiko Fukumoto;Hiroyuki Sato;Keiki Takadama
Official journal

Dec. 2022
進化計算学会, 当該学術雑誌において，審査によって毎年原則1件に与えられる賞．
A Multi-objective Evolutionary Algorithm Using Weight Vector Arrangement Based on Pareto Front Estimation
論文誌論文賞, Tomoaki Takagi;Keiki Takadama;Hiroyuki Sato
Official journal

Jul. 2022
2022 Genetic and Evolutionary Computation Conference (GECCO2022), The best paper in the respective track. Several papers were initially nominated throughout the paper review, and a vote among conference attendees determined the final selection.
Absumption based on Overgenerality and Condition-Clustering based Specialization for XCS with Continuous-Valued Inputs
Best Paper Award, Hiroki Shiraishi;Yohei Hayamizu;Hiroyuki Sato;Keiki Takadama
International society

Oct. 2021
Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 当該学術雑誌において，審査によって毎年原則1件に与えられる賞．
Self-Structured Cortical Learning Algorithm by Dynamically Adjusting Columns and Cells
Best Paper Award, Sotetsu Suzugamine;Takeru Aoki;Keiki Takadama;Hiroyuki Sato
Official journal

Dec. 2020
進化計算学会論文誌, 当該学術雑誌において，審査によって毎年原則1件に与えられる賞．
Simulation-based Evolutionary Multi-objective Optimization of Air conditioning Schedule in Office Building
論文誌論文賞, Yoshihiro Ohta;Hiroyuki Sato
Official journal

Dec. 2019
進化計算学会
進化計算シンポジウム2019 ベストポスター発表賞

Aug. 2019
日本知能情報ファジィ学会
貢献賞

Dec. 2018
2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2018)
Best Paper Award

Nov. 2017
計測自動制御学会 システム・情報部門 学術講演会 SSI2017
優秀論文賞

Nov. 2016
計測自動制御学会 システム・情報部門
論文誌論文賞

Dec. 2015
進化計算学会論文誌
論文誌論文賞

Dec. 2015
ISCBI2015 (3rd International Symposium on Computational and Business Intelligence)
Best Oral Presentation Award

Jul. 2014
2014 Genetic and Evolutionary Computation Conference (GECCO 2014)
Best Paper Award

Dec. 2012
進化計算学会論文誌
論文誌論文賞

Dec. 2012
進化計算シンポジウム2012
最優秀発表賞

Dec. 2011
IEEE Computational Intelligence Society Japan Chapter
Young Researcher Award

Jul. 2011
2011 Genetic and Evolutionary Computation Conference (GECCO 2011)
Best Paper Award

Jun. 2011
人工知能学会
2010年度研究会優秀賞

Oct. 2010
IEEE Shinetsu Section
Young Researcher Paper Award

Mar. 2008
(財)船井情報科学振興財団
Digital Courier船井若手奨励賞

Mar. 2007
情報処理学会 第63回数理モデル化と問題解決(MPS)研究会
プレゼンテーション賞

Apr. 2004
2004 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'04)
Students Paper Award

Clustering-Based Pareto Set Estimation for Multimodal Multi-Objective Optimization
Yuki Suzumura; Yoshihiro Ohta; Hiroyuki Sato
Last, The 26th International Symposium on Advanced Intelligent Systems, to appear, Nov. 2025, Peer-reviwed
International conference proceedings, English

Corrugated Board Production Planning via Multi-Objective Evolutionary Optimization With Variable Dependency-Based Variation
Iori Minakawa; Shio Kawakami; Hiroyuki Miyashita; Takashi Fujio; Tsutomu Iida; Hiroyuki Sato
Last, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 13, 181704-181718, Oct. 2025, Peer-reviwed
Scientific journal, English

Evolutionary Multi-objective 3D Topology Optimization Using SIMP-Based Density Interpolation
Fermin del Valle-Vega; Enrique Escamilla-Hernandez; Hector Perez-Meana; Hiroyuki Sato
Last, 16th EAI International Conference on Bio-inspired Information and Communications Technologies (BICT2025), to appear, Oct. 2025, Peer-reviwed, with international co-author(s)
International conference proceedings, English

Preliminary Study on Pareto Solution Set Estimation Utilizing Dominated Inferior Solutions
Kentaro Matsumoto; Hiroyuki Sato
Last, The 7th ASEAN UEC Workshop on Informatics and Engineering 2025, 36-37, Sep. 2025, Peer-reviwed
International conference proceedings, English

Preliminary Study on Clustering-Based Multimodal Pareto Set Estimation
Yuki Suzumura; Yoshihiro Ohta; Hiroyuki Sato
Last, The 7th ASEAN UEC Workshop on Informatics and Engineering 2025, 16-17, Sep. 2025, Peer-reviwed
International conference proceedings, English

Preliminary Study on Cooperative Path Planning Based on Gaussian Belief Propagation with Adaptive Communication Ranges
Takahiro Watanabe; Keiki Takadama; Hiroyuki Sato
Last, The 7th ASEAN UEC Workshop on Informatics and Engineering 2025, 14-15, Sep. 2025, Peer-reviwed
International conference proceedings, English

Comparative Study of Multi-Objective Evolutionary Algorithms on Three-Dimensional Structural Design Optimization Problem
Fermin del Valle-Vega; Enrique Escamilla-Hernandez; Hector Perez-Meana; Hiroyuki Sato
Last, The 7th ASEAN UEC Workshop on Informatics and Engineering 2025, 12-13, Sep. 2025, Peer-reviwed
International conference proceedings, English

Adaptive Multi-Population Dynamic Optimization for Multimodal Dynamic Function Optimization
Shoei Fujita; Ryuki Ishizawa; Hiroyuki Sato; Keiki Takadama
Proceedings of the Genetic and Evolutionary Computation Conference, ACM, 1540-1548, 13 Jul. 2025, Peer-reviwed
International conference proceedings, English

Novelty-based multi-objectivization for unbounded search space optimization
Ryuki Ishizawa; Hiroyuki Sato; Keiki Takadama
Artificial Life and Robotics, Springer Science and Business Media LLC, 1-15, 09 Jun. 2025, Peer-reviwed, Abstract

Unlike the conventional swarm or evolutionary optimizations that are generally assumed the “pre-defined” bounded search space, this paper addresses the optimization for the “unbounded” search space. For this purpose, this paper proposes novelty-based multi-objectivization with local and rough area search (NM-LRS), which adds the novelty criterion in the given optimization criteria to roughly search the unbounded search space for obtaining the “potential area” where the optimal solution is most likely located and then searches the “potential area” to find the optimal solution by a local area search. To investigate the effectiveness of the proposed methods, the experiment compares the proposed methods with the conventional optimization methods for the unbounded multi-modal optimization and has revealed the following implications: (i) the peak ratio (i.e., the ratio of the founded peaks of the multi-modal function) of NM-LRS is higher than that of the conventional methods; and (ii) NM-LRS is robust for the location of the initial search area in the most functions.
Scientific journal, English

Real-World Cardboard Production Optimization Using Multi-Objective Evolutionary Algorithms
Iori Minakawa; Shio Kawakami; Hiroyuki Miyashita; Tsutomu Iida; Hiroyuki Sato
Last, 2025 IEEE Congress on Evolutionary Computation (CEC), IEEE, 1-8, 08 Jun. 2025, Peer-reviwed
International conference proceedings, English

Multitask Knapsack Problems with Scalable Objective and Constraint Similarities: Behavioral Analysis of Evolutionary Multi-Factorial Algorithms
Shio Kawakami; Keiki Takadama; Hiroyuki Sato
Last, 2025 IEEE Congress on Evolutionary Computation (CEC), IEEE, 1-4, 08 Jun. 2025, Peer-reviwed
International conference proceedings, English

Limitation of Adapting to Continuously Changing Optimization Problem and Its Solution in Swarm Optimization
Shoei Fujita; Ryuki Ishizawa; Hiroyuki Sato; Keiki Takadama
2025 IEEE Congress on Evolutionary Computation (CEC), IEEE, 1-4, 08 Jun. 2025, Peer-reviwed
International conference proceedings, English

Controlling an Exploration in Unbounded Search Space by Novelty-Based Multi-Objectivization
Ryuki Ishizawa; Hiroyuki Sato; Keiki Takadama
2025 IEEE Congress on Evolutionary Computation (CEC), IEEE, 1-8, 08 Jun. 2025, Peer-reviwed
International conference proceedings, English

Multi-objective optimization of flight schedules considering Constraint Tolerance based on Local Search and Archives
Tomoki Ishizuka; Hiroyuki Sato; Keiki Takadama
2025 IEEE Congress on Evolutionary Computation (CEC), IEEE, 1-8, 08 Jun. 2025, Peer-reviwed
International conference proceedings, English

Multi-objective optimization of flight schedules to maximize constraint tolerance by local search and archive mechanisms
Tomoki Ishizuka; Akinori Murata; Hiroyuki Sato; Keiki Takadama
Artificial Life and Robotics, Springer Science and Business Media LLC, 1-14, 20 Apr. 2025, Peer-reviwed
Scientific journal, English

Estimation of Complicated Pareto Front Geometry in Evolutionary Multiobjective Optimization
Shiraishi, K.; Takadama, K.; Sato, H.
Last, The 9th International Conference on Intelligent Systems, Metaheuristics Swarm Intelligence (ISMSI 2025), 1-7, Apr. 2025, Peer-reviwed
International conference proceedings, English

Partial Ensemble Estimation for Complex-Shaped Pareto Fronts
Kikawada, K.; Okumura, N.; Takadama, K.; Sato, H.
Last, The 9th International Conference on Intelligent Systems, Metaheuristics Swarm Intelligence (ISMSI 2025), 1-9, Apr. 2025, Peer-reviwed
International conference proceedings, English

Impact of Static/Dynamic Tournament Sizing in Evolutionary Multi- and Many-Objective Optimization
Yuta Nakanishi; Mamoru Doi; Hiroyuki Sato
Last, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 30, 1, to appear, 2025, Peer-reviwed
Scientific journal, English

Saccade-Mimicking Grid Cell Network for Image Recognition
Yuichi Matsuda; Kazuma Niwa; Takeru Aoki; Keiki Takadama; Hiroyuki Sato
Last, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 30, 1, to appear, 2025, Peer-reviwed
Scientific journal, English

Multiple Swarms Optimization by Archiving Potential Areas: Towards Rover Planetary Exploration of Potential Areas Which Number and Distribution are Unknown
Keiki Takadama; Yusuke Maekawa; Ryuki Ishizawa; Shoei Fujita; Ryo Takano; Fumito Uwano; Hiroyuki Sato
Last, 2024 International Symposium on Artificial Intelligence, Robotics and Automation in Space ( i-SAIRAS 2024), Nov. 2024, Peer-reviwed
International conference proceedings, English

Image Recognition Imitating Saccadic Eye Movement in Grid Cell Net
Yuichi Matsuda; Kazuma Niwa; Takeru Aoki; Keiki Takadama; Hiroyuki Sato
Last, 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2024), 1-6, Nov. 2024, Peer-reviwed
International conference proceedings, English

The Impact of Tournament Size on the Performance of Evolutionary Multi-Objective and Many-Objective Algorithms
Yuta Nakanishi; Mamoru Doi; Hiroyuki Sato
Last, 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2024), 1-8, Nov. 2024, Peer-reviwed
International conference proceedings, English

PSO and CMA-ES based on Optima Tracking for Dynamic Function Optimization
Shoei Fujita; Ryuki Ishizawa; Hiroyuki Sato; Keiki Takadama
Transaction of the Japanese Society for Evolutionary Computation, 15, 1, 46-57, Oct. 2024, Peer-reviwed
Scientific journal, Japanese

Optimization of Real-World Systems Using Evolutionary Computation
Hiroyuki Sato
Lead, SICE Journal of Control, Measurement, and System Integration, The Society of Instrument and Control Engineers, 63, 10, 627-633, Oct. 2024, Peer-reviwed, Invited
Scientific journal, Japanese

A Hybrid Search based on PSO and CMA-ES for Continuous Dynamic Function Optimization
Fujita, S.; Ishizawa, R.; Sato, H.; Takadama, K.
The 8th International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2025), 154-161, Sep. 2024, Peer-reviwed
International conference proceedings, English

Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space
Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato; Keiki Takadama
Genetic and Evolutionary Computation Conference (GECCO 2024), 2127-2130, Jul. 2024, Peer-reviwed
International conference proceedings, English

Approximating Pareto Local Optimal Solution Networks
Shoichiro Tanaka; Gabriela Ochoa; Arnaud Liefooghe; Keiki Takadama; Hiroyuki Sato
Last, Genetic and Evolutionary Computation Conference (GECCO 2024), 603-611, Jul. 2024, Peer-reviwed, with international co-author(s)
International conference proceedings, English

Prototype Generation with sUpervised Classifier system on kNN matching
Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato; Keiki Takadama
2024 IEEE Congress on Evolutionary Computation (CEC2024), 1-8, Jun. 2024, Peer-reviwed
International conference proceedings, English

Design of Generalized and Specialized Helper Objectives for Multi-objective Continuous Optimization Problems
Keigo Mochizuki; Tomoki Ishizuka; Naoya Yatsu; Hiroyuki Sato; Keiki Takadama
2024 IEEE Congress on Evolutionary Computation (CEC2024), 1-8, Jun. 2024, Peer-reviwed
International conference proceedings, English

From multipoint search to multiarea search: Novelty-based multi-objectivization for unbounded search space optimization
Ryuki Ishizawa; Hiroyuki Sato; Keiki Takadama
2024 IEEE Congress on Evolutionary Computation (CEC2024), 1-8, Jun. 2024, Peer-reviwed
International conference proceedings, English

Designing Helper Objectives in Multi-objectivization
Shoichiro Tanaka; Arnaud Liefooghe; Keiki Takadama; Hiroyuki Sato
Last, 2024 IEEE Congress on Evolutionary Computation (CEC2024), 1-8, Jun. 2024, Peer-reviwed, with international co-author(s)
International conference proceedings, English

Pareto Front Estimation Model Optimization for Aggregative Solution Set Representation
Naru Okumura; Keiki Takadama; Hiroyuki Sato
Last, 2024 IEEE Congress on Evolutionary Computation (CEC2024), 1-8, Jun. 2024, Peer-reviwed
International conference proceedings, English

Push and Pull Search with Directed Mating for Constrained Multi-objective Optimization
Ryo Takamiya; Minami Miyakawa; Keiki Takadama; Hiroyuki Sato
Last, 2024 IEEE Congress on Evolutionary Computation (CEC2024), 1-8, Jun. 2024, Peer-reviwed
International conference proceedings, English

Should Multi-objective Evolutionary Algorithms Use Always Best Non-dominated Solutions as Parents?
Kazuma Sato; Naru Okumura; Keiki Takadama; Hiroyuki Sato
Last, 2024 IEEE Congress on Evolutionary Computation (CEC2024), 1-8, Jun. 2024, Peer-reviwed
International conference proceedings, English

Evolutionary Constrained Multi-Factorial Optimization Based on Task Similarity
Shio Kawakami; Keiki Takadama; Hiroyuki Sato
Last, 2024 IEEE Congress on Evolutionary Computation (CEC2024), 1-8, Jun. 2024, Peer-reviwed
International conference proceedings, English

Multi-Layer Cortical Learning Algorithm for Forecasting Time-Series Data with Smoothly Changing Variation Patterns
Kazushi Fujino; Keiki Takadama; Hiroyuki Sato
Last, 2024 The International Joint Conference on Neural Networks (IJCNN2024), 1-8, Jun. 2024, Peer-reviwed
International conference proceedings, English

目的関数の推定類似度を用いる進化計算による多因子最適化
川上 紫央; 高玉 圭樹; 佐藤 寛之
Last, 進化計算学会論文誌, 14, 1, 40-54, Dec. 2023, Peer-reviwed
Scientific journal

Adaptive Action-prediction Cortical Learning Algorithm Under Uncertain Environments
Kazushi Fujino; Takeru Aoki; Keiki Takadama; Hiroyuki Sato
Last, International Journal of Hybrid Intelligent Systems, IOS Press, 225-245, Nov. 2023, Peer-reviwed, The cortical learning algorithm (CLA) is a time series prediction algorithm. Memory elements called columns and cells discretely represent data with their state combinations, whereas linking elements called synapses change their state combinations. For tasks requiring to take actions, the action-prediction CLA (ACLA) has an advantage to complement missing state values with their predictions. However, an increase in the number of missing state values (i) generates excess synapses negatively affect the action predictions and (ii) decreases the stability of data representation and makes the output of action values difficult. This paper proposes an adaptive ACLA using (i) adaptive synapse adjustment and (ii) adaptive action-separated decoding in an uncertain environment, missing multiple input state values probabilistically. (i) The proposed adaptive synapse adjustment suppresses unnecessary synapses. (ii) The proposed adaptive action-separated decoding adaptively outputs an action prediction separately for each action value. Experimental results using uncertain two- and three-dimensional mountain car tasks show that the proposed adaptive ACLA achieves a more robust action prediction performance than the conventional ACLA, DDPG, and the three LSTM-assisted reinforcement learning algorithms of DDPG, TD3, and SAC, even though the number of missing state values and their frequencies increase. These results implicate that the proposed adaptive ACLA is a way to making decisions for the future, even in cases where information surrounding the situation partially lacked.
Scientific journal, English

A Biased Multi-objective Item Stock Optimization Using Evolutionary Algorithms
Kazuma Sato; Yasuyuki Mitsui; Shio Kawakami; Shoichiro Tanaka; Hiroyuki Sato
Last, The 5th ASEAN-UEC Workshop on Informatics and Engineering, 1-2, Sep. 2023, Peer-reviwed
International conference proceedings, English

A Preliminary Study on Spatially Distributed Data Forecast Using Cortical Learning Algorithm
Kazuma Niwa; Takeru Aoki; Kazushi Fujino; Keiki Takadama; Hiroyuki Sato
Last, The 5th ASEAN-UEC Workshop on Informatics and Engineering, 1-2, Sep. 2023, Peer-reviwed
International conference proceedings, English

A Preliminary Study on Ensemble Pareto Front Estimation
Kosuke Kikawada; Tomoaki Takagi; Naru Okumura; Keiki Takadama; Hiroyuki Sato
Last, The 5th ASEAN-UEC Workshop on Informatics and Engineering, 1-2, Sep. 2023, Peer-reviwed
International conference proceedings, English

A Preliminary Study on Solution Generation for Evolutionary Multi-factorial Optimization
Shio Kawakami; Keiki Takadama; Hiroyuki Sato
Last, The 5th ASEAN-UEC Workshop on Informatics and Engineering, 1-2, Sep. 2023, Peer-reviwed
International conference proceedings, English

Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS
Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato; Keiki Takadama
Genetic and Evolutionary Computation Conference (GECCO 2023), 606-614, Jul. 2023, Peer-reviwed
International conference proceedings, English

Toward Unbounded Search Space Exploration by Particle Swarm Optimization in Multi-modal Optimization Problem
Ryuki Ishizawa; Tomoya Kuga; Yusuke Maekawa; Hiroyuki Sato; Keiki Takadama
2023 IEEE Congress on Evolutionary Computation (CEC2023), 1-8, Jul. 2023, Peer-reviwed
International conference proceedings

Pareto Front Upconvert on Multi-objective Building Facility Control Optimization
Naru Okumura; Tomoaki Takagi; Yoshihiro Ohta; Hiroyuki Sato
Last, Genetic and Evolutionary Computation Conference (GECCO 2023) Companion, 1963-1971, Jul. 2023, Peer-reviwed
International conference proceedings

Multilayered Cortical Learning Algorithm for Forecasting Time-series Data with Probabilistically Changing Trends
Kazushi Fujino; Takeru Aoki; Keiki Takadama; Hiroyuki Sato
Last, Journal of Signal Processing, Research Institute of Signal Processing, Japan, 27, 4, 69-73, Jul. 2023, Peer-reviwed
Scientific journal

Multi-objectivization Relaxes Multi-funnel Structures in Single-objective NK-landscapes
Shoichiro Tanaka; Keiki Takadama; Hiroyuki Sato
Last, Evolutionary Computation in Combinatorial Optimization, Springer Nature Switzerland, 195-210, Apr. 2023, Peer-reviwed
International conference proceedings

Evolutionary Many‐objective Optimization: Difficulties, Approaches, and Discussions
Hiroyuki Sato; Hisao Ishibuchi
Lead, IEEJ Transactions on Electrical and Electronic Engineering, Wiley, Mar. 2023, Peer-reviwed, Invited
Scientific journal

Multi-layer Cortical Learning Algorithm for Trend Changing Time-series Forecast
Kazushi Fujino; Takeru Aoki; Keiki Takadama; Hiroyuki Sato
Last, 2023 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP2023), 281-284, Mar. 2023, Peer-reviwed
International conference proceedings

Similarity-based Multi-factorial Evolutionary Algorithm for Binary Optimization Problems
Shio Kawakami; Keiki Takadama; Hiroyuki Sato
Last, 2023 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP2023), 372-375, Mar. 2023, Peer-reviwed
International conference proceedings

Preliminary Study of Adaptive Synapse Generation in Cortical Learning Algorithm
Takeru Aoki; Keiki Takadama; Hiroyuki Sato
Last, 2023 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP2023), 392-395, Mar. 2023, Peer-reviwed
International conference proceedings

Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling
Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato
Evolutionary Multi-Criterion Optimization (EMO 2023), Springer Nature Switzerland, 218-230, Mar. 2023, Peer-reviwed
International conference proceedings

Adaptive Synapse Adjustment and Decoding in Action-prediction Cortical Learning Algorithm
Kazushi Fujino; Takeru Aoki; Keiki Takadama; Hiroyuki Sato
The 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022), Springer Nature Switzerland, 811-821, Mar. 2023, Peer-reviwed
International conference proceedings

Directional Pareto Front and Its Estimation to Encourage Multi-objective Decision-making
Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato
Last, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 11, 20619-20634, Feb. 2023, Peer-reviwed
Scientific journal

Niching Migratory Multi-swarm Optimizer by Replacing Generation and Deletion with Movement for Real Robots: Adjusting Swarm Size Based on Convergence
Yusuke Maeakwa; Hiroyuki Sato; Keiki Takadama
The 16th International Symposium on Distributed Autonomous Robotic Systems (DARS 2022), Nov. 2022, Peer-reviwed
International conference proceedings

Synergistic Effect of Adaptive Synapse Arrangement and Column-based Decoder in Cortical Learning Algorithm
Takeru Aoki; Keiki Takadama; Hiroyuki Sato
Last, 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), IEEE, 1-6, Nov. 2022, Peer-reviwed
International conference proceedings

Solution Archive and Its Re-use in Evolutionary Many-objective Facility Control Optimization
Naru Okumura; Yoshihiro Ohta; Hiroyuki Sato
Last, 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), IEEE, 1-6, Nov. 2022, Peer-reviwed
International conference proceedings

Adaptive Synapse Adjustment for Multivariate Cortical Learning Algorithm
Kazushi Fujino; Takeru Aoki; Keiki Takadama; Hiroyuki Sato
Last, 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), IEEE, 1-6, Nov. 2022, Peer-reviwed
International conference proceedings

マルコフ連鎖に基づく局所解ネットワークと(1+1)-EAの性能予測
田中 彰一郎; 古谷 博史; 日和 悟; 廣安 知之; 高玉 圭樹; 佐藤 寛之
進化計算学会誌, 13, 1, 40-52, Oct. 2022, Peer-reviwed
Scientific journal, Japanese

進化計算による在庫配置最適化
三井 康行; 山越 悠貴; 佐藤 寛之
進化計算学会誌, 13, 1, 66-76, Oct. 2022, Peer-reviwed
Scientific journal, Japanese

Can the Same Rule Representation Change Its Matching Area? Enhancing Representation in XCS for Continuous Space by Probability Distribution in Multiple Dimension
Hiroki Shiraishi; Yohei Hayamizu; Hiroyuki Sato; Keiki Takadama
Genetic and Evolutionary Computation Conference (GECCO 2022),, 431-439, Jul. 2022, Peer-reviwed
International conference proceedings, English

オープンスペースディスカッション2021実施報告
能島 裕介; 高木 英行; 棟朝 雅晴; 濱田 直希; 西原 慧; 高玉 圭樹; 佐藤 寛之; 桐淵 大貴; 宮川 みなみ
進化計算学会誌, 13, 1, 1-9, Jul. 2022, Peer-reviwed
Scientific journal, Japanese

Supervised Multi-objective Optimization Algorithm Using Estimation
Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato
Last, 2022 IEEE Congress on Evolutionary Computation (CEC), IEEE, 1-8, Jul. 2022, Peer-reviwed
International conference proceedings

Evolutionary Real-world Item Stock Allocation for Japanese Electric Commerce
Yasuyuki Mitsui; Yuki Yamakoshi; Hiroyuki Sato
Last, 2022 IEEE Congress on Evolutionary Computation (CEC), IEEE, 1-8, Jul. 2022, Peer-reviwed
International conference proceedings

Digital Twin Based Evolutionary Building Facility Control Optimization
Kohei Fukuhara; Ryo Kumagai; Fukawa Yuta; Tanabe Shin-ichi; Hiroki Kawano; Yoshihiro Ohta; Hiroyuki Sato
Last, 2022 IEEE Congress on Evolutionary Computation (CEC), IEEE, 1-8, Jul. 2022, Peer-reviwed
International conference proceedings

Impacts of Single-objective Landscapes on Multi-objective Optimization
Shoichiro Tanaka; Keiki Takadama; Hiroyuki Sato
Last, 2022 IEEE Congress on Evolutionary Computation (CEC), IEEE, 1-8, Jul. 2022, Peer-reviwed
International conference proceedings

XCSR with VAE using Gaussian Distribution Matching: From Point to Area Matching in Latent Space for Less-overlapped Rule Generation in Observation Space
Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato; Keiki Takadama
2022 IEEE Congress on Evolutionary Computation (CEC), IEEE, 1-8, Jul. 2022, Peer-reviwed
International conference proceedings

Beta Distribution-based XCS Classifier System
Hiroki Shiraishi; Yohei Havamizu; Hiroyuki Sato; Keiki Takadama
2022 IEEE Congress on Evolutionary Computation (CEC), IEEE, 1-8, Jul. 2022, Peer-reviwed
International conference proceedings, English

Absumption Based on Overgenerality and Condition-clustering Based Specialization for XCS with Continuous-valued Inputs
Hiroki Shiraishi; Yohei Hayamizu; Hiroyuki Sato; Keiki Takadama
Genetic and Evolutionary Computation Conference (GECCO 2022), ACM, 422-430, Jul. 2022, Peer-reviwed
International conference proceedings

Can the same rule representation change its matching area?
Hiroki Shiraishi; Yohei Hayamizu; Hiroyuki Sato; Keiki Takadama
Genetic and Evolutionary Computation Conference (GECCO 2022), ACM, Jul. 2022, Peer-reviwed
International conference proceedings

Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS
Hiroki Shiraishi; Yohei Hayamizu; Iko Nakari; Hiroyuki Sato; Keiki Takadama
Applications of Evolutionary Computation, Springer International Publishing, 352-368, Apr. 2022, Peer-reviwed
International conference proceedings

航空機着陸問題における混雑時に対応するクラスタリングを用いた分割反復最適化手法
村田 暁紀; 佐藤 寛之; 髙玉 圭樹; デライエ・ダニエル
電気学会論文誌Ｃ(電子・情報・システム部門誌), 142, 2, 198-205, Feb. 2022, Peer-reviwed
Scientific journal, Japanese

推定パレートフロントに基づいて重みベクトル群を配置する多目的進化アルゴリズム
高木 智章; 高玉 圭樹; 佐藤 寛之
Last, 進化計算学会誌, 45-60, Jan. 2022, Peer-reviwed
Scientific journal, Japanese

VBAとGASを用いたシフト表自動化アプリの作成とシフト組合せ最適化用の遺伝的アルゴリズムの検討
富田 一光; 佐藤 寛之; 奥野 剛史
進化計算学会誌, 88-97, Jan. 2022, Peer-reviwed
Scientific journal, Japanese

Multi-factorial Evolutionary Algorithm Using Objective Similarity Based Parent Selection
Shio Kawakami; Keiki Takadama; Hiroyuki Sato
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer International Publishing, 45-60, Jan. 2022, Peer-reviwed
International conference proceedings

Variable Elite Population in Grid-based Multi-objective Evolutionary Optimization
Kensuke Kano; Tomoaki Takagi; Shoichiro Tanaka; Keiki Takadama; Hiroyuki Sato
The 3rd ASEAN-UEC Workshop on Informatics and Engineering for SDGs, 1-2, Dec. 2021, Peer-reviwed
International conference proceedings, English

Preliminary Study of Multi-factorial Evolutionary Algorithm Using Objective Similarities on Different Objective Landscapes
Shio Kawakami; Keiki Takadama; Hiroyuki Sato
The 3rd ASEAN-UEC Workshop on Informatics and Engineering for SDGs, 1-2, Dec. 2021, Peer-reviwed
International conference proceedings, English

Cortical Learning Based Action-decision Under Uncertain Environment
Kazushi Fujino; Takeru Aoki; Keiki Takadama; Hiroyuki Sato
The 3rd ASEAN-UEC Workshop on Informatics and Engineering for SDGs, 1-2, Dec. 2021, Peer-reviwed
International conference proceedings, English

A Forgetting Mechanism in Cortical Learning Algorithm for Time-series Forecast
Yuki Goto; Takeru Aoki; Keiki Takadama; Hiroyuki Sato
The 3rd ASEAN-UEC Workshop on Informatics and Engineering for SDGs, 1-2, Dec. 2021, Peer-reviwed
International conference proceedings, English

時間的・空間的観点に基づく粒子群最適化と差分進化の個体別選択
河野航大; 梶原奨; 髙野諒; 佐藤寛之; 髙玉圭樹
進化計算学会誌, 1-11, Dec. 2021, Peer-reviwed
Scientific journal, Japanese

Double-layered Cortical Learning Algorithm for Time-series Data Prediction
Takeru Aoki; Keiki Takadama; Hiroyuki Sato
The 13th EAI International Conference on Bio-inspired Information and Communications Technologies (BICT2021), 33-44, Sep. 2021, Peer-reviwed
International conference proceedings, English

Maintaining Soundness of Social Network by Understanding Fake News Dissemination and People’s Belief
Risa Kusano; Kento Yoshikawa; Hiroyuki Sato; Masatsugu Ichino; Hiroshi Yoshiura
The 15th International Workshop on Informatics (IWIN2021), 1-7, Sep. 2021, Peer-reviwed
International conference proceedings, English

Misclassification Detection Based on Conditional VAE for Rule Evolution in Learning Classifier System
Hiroki Shiraishi; Masakazu Tadokoro; Yohei Hayamizu; Yukiko Fukumoto; Hiroyuki Sato; Keiki Takadama
2021 Genetic and Evolutionary Computation Conference (GECCO 2021), 169-170, Jul. 2021, Peer-reviwed
International conference proceedings, English

Adaptive Synapse Arrangement in Cortical Learning Algorithm
Takeru Aoki; Keiki Takadama; Hiroyuki Sato
Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 25, 4, 450-466, Jul. 2021, Peer-reviwed
Scientific journal, English

Weight Vector Arrangement Using Virtual Objective Vectors in Decomposition-based MOEA
Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato
2021 IEEE Congress on Evolutionary Computation (CEC2021), 1462-1469, Jun. 2021, Peer-reviwed
International conference proceedings, English

XCS with Weight-based Matching in VAE Latent Space and Additional Learning of High-dimensional Data
Masakazu Tadokoro; Hiroyuki Sato; Keiki Takadama
2021 IEEE Congress on Evolutionary Computation (CEC2021), 304-310, Jun. 2021, Peer-reviwed
International conference proceedings, English

Increasing Accuracy and Interpretability of High-dimensional Rules for Learning Classifier System
Hiroki Shiraishi; Masakazu Tadokoro; Yohei Hayamizu; Yukiko Fukumoto; Hiroyuki Sato; Keiki Takadama
2021 IEEE Congress on Evolutionary Computation (CEC2021), 311-318, Jun. 2021, Peer-reviwed
International conference proceedings, English

Generating Duplex Routes for Robust Bus Transport Network by Improved Multi-objective Evolutionary Algorithm Based on Decomposition
Sho Kajihara; Hiroyuki Sato; Keiki Takadama
Applications of Evolutionary Computation, LNCS, Vol. 12694, Springer-Verlag,, 65-80, Apr. 2021, Peer-reviwed
International conference proceedings, English

Distance Minimization Problems for Multi-Factorial Evolutionary Optimization Benchmarking
Shio Kawakami; Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato
The 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), Hybrid Intelligent Systems. HIS 2020, Advances in Intelligent Systems and Computing, Vol. 1375, Springer, Cham,, 710-719, Apr. 2021, Peer-reviwed
International conference proceedings, English

Alzheimer Dementia Detection Based on Circadian Rhythm Disorder of Heartrate
Naoya Matsuda; Iko Nakari; Ryotaro Arai; Hiroyuki Sato; Keiki Takadama; Masanori Hirose; Hiroshi Hasegawa; Makoto Shiraishi; Takahide Matsuda
2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021),, 364-368, Mar. 2021, Peer-reviwed
International conference proceedings, English

評価値軸・設計変数上の解の継続変化に対する群知能アルゴリズムのためのメカニズムの設計とその追従性の評価
高野諒; 佐藤寛之; 高玉圭樹
進化計算学会誌, 29-44, Mar. 2021, Peer-reviwed
Scientific journal, Japanese

Pareto Front Estimation Using Distance from Unit Hyperplane
Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato
The 11th Edition of International Conference Series on Evolutionary Multi-Criterion Optimization (EMO2021), 126-138, Mar. 2021, Peer-reviwed
International conference proceedings, English

Finding Many Good Solutions by Multi-swarm Optimization for Multiple Robots: The Niching Migratory Multi-swarm Optimizer with Limited Movement
Yusuke Maekawa; Kodai Kawano; Sho Kajihara; Yukiko Fukumoto; Hiroyuki Sato; Keiki Takadama
The 26th International Symposium on Artificial Life and Robotics (AROB 2021),, 486-491, Jan. 2021, Peer-reviwed
International conference proceedings, English

学習分類子システムのルール進化に対するConditional VAEに基づく誤判定検知・訂正
白石 洋輝; 田所 優和; 速水 陽平; 福本 有季子; 佐藤 寛之; 高玉 圭樹
進化計算学会論文誌, 12, 3, 98-111, Jan. 2021, Peer-reviwed
Scientific journal, Japanese

実ロボット適用に向けた複数局所解探索のための複数群間移動に基づく群知能最適化
前川 裕介; 河野 航大; 梶原 奨; 福本 有季子; 佐藤 寛之; 高玉 圭樹
進化計算学会論文誌, 12, 3, 125-136, Jan. 2021, Peer-reviwed
Scientific journal, Japanese

Column-based Decoder of Internal Prediction Representation in Cortical Learning Algorithms
Takeru Aoki; Keiki Takadama; Hiroyuki Sato
Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS&ISIS2020), 1-7, Dec. 2020, Peer-reviwed
International conference proceedings, English

A Preliminary Study on a Multi-layered Cortical Learning Algorithm
Takeru Aoki; Keiki Takadama; Hiroyuki Sato
The 7th UEC Seminar in ASEAN, 2020 and The 2nd ASEAN-UEC Workshop on Energy and AI, on web, 1-2, Nov. 2020, Peer-reviwed
International conference proceedings, English

A Study on Multi-objective Evolutionary Stage Generation Using MarioGAN
Ryo Kumagai; Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato
The 7th UEC Seminar in ASEAN, 2020 and The 2nd ASEAN-UEC Workshop on Energy and AI, on web, 1-2, Nov. 2020, Peer-reviwed
International conference proceedings, English

A Study on Multivariate CLA Complementing Missing Time-series Data
Akihiko Nagashima; Takeru Aoki; Keiki Takadama; Hiroyuki Sato
The 7th UEC Seminar in ASEAN, 2020 and The 2nd ASEAN-UEC Workshop on Energy and AI, on web, 1-2, Nov. 2020, Peer-reviwed
International conference proceedings, English

Local Covering: Adaptive Rule Generation Method Using Existing Rules for XCS
Masakazu Tadokoro; Satoshi Hasegawa; Takato Tatsumi; Hiroyuki Sato; Keiki Takadama
Proc. 2020 IEEE Congress on Evolutionary Computation (CEC2020), 1-8, Jul. 2020, Peer-reviwed
International conference proceedings, English

Evolutionary Air-Conditioning Optimization Using an LSTM-Based Surrogate Evaluator
Yoshihiro Ohta; Takafumi Sasakawa; Hiroyuki Sato
2020 IEEE Congress on Evolutionary Computation (CEC2020), 1-8, Jul. 2020, Peer-reviwed
International conference proceedings, English

Non-dominated Solution Sampling Using Environmental Selection in EMO algorithms
Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato
2020 IEEE Congress on Evolutionary Computation (CEC2020), 1-9, Jul. 2020, Peer-reviwed
International conference proceedings, English

Incremental Lattice Design of Weight Vector Set
Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato
Workshop on Decomposition Techniques in Evolutionary Optimization, 2020 Genetic and Evolutionary Computation Conference (GECCO 2020), 1486-1494, Jul. 2020, Peer-reviwed
International conference proceedings, English

Visual Mapping of Multi-objective Optimization Problems and Evolutionary Algorithms
Kohei Yamamoto; Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato
Workshop on Visualisation Methods in Genetic and Evolutionary Computation, 2020 Genetic and Evolutionary Computation Conference (GECCO 2020), 1872-1879, Jul. 2020, Peer-reviwed
International conference proceedings, English

Preliminary Study of Adaptive Grid-based Decomposition on Many-objective Evolutionary Optimization
Kensuke Kano; Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato
Workshop on Evolutionary Many-objective Optimization, 2020 Genetic and Evolutionary Computation Conference (GECCO 2020), 1373-1380, Jul. 2020, Peer-reviwed
International conference proceedings, English

Self-Structured Cortical Learning Algorithm by Dynamically Adjusting Columns and Cells
Sotetsu Suzugamine; Takeru Aoki; Keiki Takadama; Hiroyuki Sato
Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 24, 2, 185-198, Mar. 2020, Peer-reviwed
Scientific journal, English

Niche Radius Adaptation in Bat Algorithm for Locating Multiple Optima in Multimodal Functions
Takuya Iwase; Ryo Takano; Fumito Uwano; Hiroyuki Sato; Keiki Takadama
2019 IEEE Congress on Evolutionary Computation (CEC2019),, 770-784, 2019, Peer-reviwed
International conference proceedings, English

Sleep Apnea Syndrome Detection Based on Biological Vibration Data from Mattress Sensor
Iko Nakari; Akinori Murata; Eiki Kitajima; Hiroyuki Sato; Keiki Takadama
The 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019), 549-555, 2019, Peer-reviwed
International conference proceedings, English

Complex-valued-based Learning Classifier System for POMDP Environments
Keiki Takadama; Daichi Yamazaki; Masaya Nakata; Hiroyuki Sato
2019 IEEE Congress on Evolutionary Computation (CEC2019), 1853-1860, 2019, Peer-reviwed
International conference proceedings, English

Knowledge Extraction from XCSR Based on Dimensionality Reduction and Deep Generative Models
Masakazu Tadokoro; Satoshi Hasegawa; Takato Tatsumi; Hiroyuki Sato; Keiki Takadama
2019 IEEE Congress on Evolutionary Computation (CEC2019), 1884-1891, 2019, Peer-reviwed
International conference proceedings, English

Simultaneous Local Adaptation for Different Local Properties
Ryota Kobayashi; Ryo Takano; Hiroyuki Sato; Keiki Takadama
Adaptation, Learning and Optimization, 12, 216-227, 2019, Peer-reviwed
International conference proceedings, English

Evolving Generalized Solutions for Robust Multi-objective Optimization: Transportation Analysis in Disaster
Keiki Takadama; Keiji Sato; Hiroyuki Sato
Evolutionary Multi-Criterion Optimization, in Deb, K., Goodman, E., Coello Coello, C., Klamroth, K., Miettinen, K., Mostaghim, S., Reed, P. (Eds.), Lecture Notes in Computer Science, 11411, 491-503, 2019, Peer-reviwed
International conference proceedings, English

Niche Radius Adaptation in Bat Algorithm for Locating Multiple Optima in Multimodal Functions.
Takuya Iwase; Ryo Takano; Fumito Uwano; Hiroyuki Sato; Keiki Takadama
IEEE Congress on Evolutionary Computation, CEC 2019, Wellington, New Zealand, June 10-13, 2019, IEEE, 800-807, 2019, Peer-reviwed
International conference proceedings

Bat Algorithm with Dynamic Niche Radius for Multimodal Optimization
Takuya Iwase; Ryo Takano; Fumito Uwano; Hiroyuki Sato; Keiki Takadama
Proceedings of the 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2019), 8-13, 2019, Peer-reviwed
International conference proceedings, English

Artificial Bee Colony Algorithm Based on Adaptive Local Information Sharing Meets Multiple Dynamic Environments
Ryo Takano; Hiroyuki Sato; Keiki Takadama
SICE Journal of Control, Measurement, and System Integration (JCMSI), Informa UK Limited, 1, 1-10, 2019, Peer-reviwed
Scientific journal, English

A Distribution Control of Weight Vector Set for Multi-objective Evolutionary Algorithms
Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato
Proc. of 11th EAI International Conference on Bio-inspired Information and Communications Technologies (BICT2019), 70-80, 2019, Peer-reviwed
International conference proceedings, English

Evolutionary Optimization of Air-conditioning Schedule Robust for Temperature Forecast Errors
Yoshihiro Ohta; Hiroyuki Sato
Proc. 2019 IEEE Congress on Evolutionary Computation (CEC2019), 2483-2490, 2019, Peer-reviwed
International conference proceedings, English

A Study for Parallelization of Multi-objective Evolutionary Algorithm Based on Decomposition and Directed Mating
Minami Miyakawa; Hiroyuki Sato; Yuji Sato
Proc. of 2019 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2019), 1-6, 2019, Peer-reviwed
International conference proceedings, English

オフィスビルにおける空調スケジュールのシミュレーションに基づく進化型多目的最適化
太田恵大; 佐藤寛之
進化計算学会論文誌, 10, 2, 22-32, 2019, Peer-reviwed
Scientific journal, Japanese

Evaluation of Simultaneously Optimizing Multiple Models in Vehicle Design Using Distributed NSGA-II Sharing Extreme Non-dominated Solutions
Mikiko Sato; Minami Miyakawa; Hiroyuki Sato; Yuji Sato
International Journal of Mathematical Models and Methods in Applied Sciences, 227-235, 2018, Peer-reviwed
Scientific journal, English

Novelty Search-based Bat Algorithm: Adjusting Distance among Solutions for Multimodal Optimization
Takuya Iwase; Ryo Takano; Fumito Uwano; Hiroyuki Sato; Keiki Takadama
Proceedings of the 22nd Asia Pacific Symposium on Intelligent and Evolutionary Systems, 29-36, 2018, Peer-reviwed
International conference proceedings, English

Towards Adaptive Aircraft Landing Order with Aircraft Routes Partially Fixed by Air Traffic Controllers as Human Intervention
Akinori Murata; Hiroyuki Sato; Keiki Takadama
SICE Journal of Control, Measurement, and System Integration (JCMSI), 11, 2, 105-112, 2018, Peer-reviwed
Scientific journal, English

Infeasible Solution Repair and MOEA/D Sharing Weight Vectors for Solving Multi-objective Set Packing Problems
Mariko Tanaka; Yuki Yamagishi; Hidetoshi Nagai; Hiroyuki Sato
Proc. of Late-Breaking Abstracts at 2018 Genetic and Evolutionary Computation Conference (GECCO 2018), ACM, 71-72, 2018, Peer-reviwed
International conference proceedings, English

Directed Mating in Decomposition-based MOEA for Constrained Many-objective Optimization
Minami Miyakawa; Hiroyuki Sato; Yuji Sato
Proc. of 2018 Genetic and Evolutionary Computation Conference (GECCO 2018), 721-728, 2018, Peer-reviwed
International conference proceedings, English

Evolutionary Multi-objective Air-Conditioning Schedule Optimization for Office Buildings
Yoshihiro Ohta; Hiroyuki Sato
Proc. of 2018 Genetic and Evolutionary Computation Conference (GECCO 2018), 296-297, 2018, Peer-reviwed
International conference proceedings, English

Effects of Chain-reaction Initial Solution Arrangement in Decomposition-Based MOEAs
Hiroyuki Sato; Minami Miyakawa; Keiki Takadama
Post Proceedings of EUROSIM 2016, Linköping Electronic Conference Proceedings, 1-6, 2018, Peer-reviwed
International conference proceedings, English

Effects of Duplication Operator in Evolutionary Simultaneous Design Optimization of Multiple Cars.
Minami Miyakawa; Hiroyuki Sato; Haruka Matsumoto; Mariko Tanaka; Mikiko Sato; Yuji Sato
Proc. of Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2018), IEEE, 267-274, 2018, Peer-reviwed
International conference proceedings, English

A Study on a Cortical Learning Algorithm Dynamically Adjusting Columns and Cells
Sotetsu Suzugamine; Takeru Aoki; Keiki Takadama; Hiroyuki Sato
Proc. of Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2018), 478-484, 2018, Peer-reviwed
International conference proceedings, English

A Preliminary Study on Weight Vector Distribution Control Based on Intermediate Objective Value
Tomoaki Takagi; Keiki Takadama; Hiroyuki Sato
Proc. of 2018 JPNSEC International Workshop on Evolutionary Computation, 20-26, 2018
International conference proceedings, English

An Infeasible Solution Repair Switching Addition and Deletion Operations for Evolutionary Multi-Objective Set Packing Optimization
Mariko Tanaka; Hiroyuki Sato
Proc. of 2018 JPNSEC International Workshop on Evolutionary Computation, 109-112, 2018
International conference proceedings, English

A Comparative Study of Evaluation Methods for Infeasible Solutions on Constrained MOEA/D with Directed Mating and Archives
Minami Miyakawa; Hiroyuki Sato; Yuji Sato
Proc. of 2018 JPNSEC International Workshop on Evolutionary Computation, 63-70, 2018
International conference proceedings, English

Artificial Bee Colony Algorithm Based on Adaptive Local Information Sharing: Approach for Several Dynamic Changes
Ryo Takano; Hiroyuki Sato; Keiki Takadama
Proc. of Genetic and Evolutionary Computation Conference (GECCO 2018), 95-96, 2018, Peer-reviwed
International conference proceedings, English

Multiple Swarm Intelligence Methods Based on Multiple Population with Sharing Best Solution for Drastic Environmental Change
Yuta Umenai; Fumito Uwano; Hiroyuki Sato; Keiki Takadama
Proc. of Genetic and Evolutionary Computation Conference (GECCO 2018), 97-98, 2018, Peer-reviwed
International conference proceedings, English

XCSR Based on Compressed Input by Deep Neural Network for High Dimensional Data
Kazuma Matsumoto; Ryo Takano; Takato Tatsumi; Hiroyuki Sato; Tim Kovacs; Keiki Takadama
Proc. of International Workshop on Learning Classifier Systems (IWLCS 2018), in Genetic and Evolutionary Computation Conference (GECCO 2018), 1418-1425, 2018, Peer-reviwed
International conference proceedings, English

Classifier Generalization for Comprehensive Classifiers Subsumption in XCS
Caili Zhang; Takato Tatsumi; Hiroyuki Sato; Tim Kovacs; Keiki Takadama
Proc. of Evolutionary Computation in Health care and Nursing System, in Genetic and Evolutionary Computation Conference (GECCO 2018), 1854-1861, 2018, Peer-reviwed
International conference proceedings, English

Exploring Tradeoff Between Distance-minimality and Diversity of Landing Routes for Aircraft Landing Optimization
Akinori Murata; Hiroyuki Sato; Keiki Takadama
SICE Journal of Control, Measurement, and System Integration (JCMSI), 11, 5, 409-418, 2018, Peer-reviwed
Scientific journal, English

Toward Adaptation to Various Landscape Environment by Artificial Bee Colony Algorithm Based on Local Information Sharing
Ryo Takano; Hiroyuki Sato; Keiki Takadama
The 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2017),, 147-154, 2017, Peer-reviwed
International conference proceedings, English

Applying Variance-based Learning Classifier System without Convergence of Reward Estimation into Various Reward Distribution
Takato Tatsumi; Hiroyuki Sato; Tim Kovacs; Keiki Takadama
2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2017, CEC, 2630-2637, 2017, Peer-reviwed
International conference proceedings, English

Automatic Adjustment of Selection Pressure Based on Range of Reward in Learning Classifier System.
Takato Tatsumi; Hiroyuki Sato; Keiki Takadama
Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2017, Berlin, Germany, July 15-19, 2017, ACM, 505-512, 2017, Peer-reviwed
International conference proceedings

XCSR Learning from Compressed Data Acquired by Deep Neural Network
Kazuma Matsumoto; Takato Tatsumi; Hiroyuki Sato; Tim Kovacs; Keiki Takadama
Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 21, 5, 856-867, 2017, Peer-reviwed
Scientific journal, English

Learning Classifier System Based on Mean of Reward
Takato Tatsumi; Hiroyuki Sato; Keiki Takadama
Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 21, 5, 895-906, 2017, Peer-reviwed
Scientific journal, English

Strategies to Improve Cuckoo Search Toward Adapting Randomly Changing Environment.
Yuta Umenai; Fumito Uwano; Hiroyuki Sato; Keiki Takadama
Advances in Swarm Intelligence - 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings, Part I, Springer, 573-582, 2017, Peer-reviwed
International conference proceedings

Affinity Based Search Amount Control in Decomposition Based Evolutionary Multi-Objective Optimization
Hiroyuki Sato; Minami Miyakawa; Keiki Takadama
10th EAI International Conference on Bio-inspired Information and Communications Technologies (BICT), in USB memory, 8 pages, 1-8, 2017, Peer-reviwed
International conference proceedings, English

Polynomial Mean-Centric Crossover for Directed Mating in Evolutionary Constrained Multi-Objective Continuous Optimization
Minami Miyakawa; Hiroyuki Sato; Yuji Sato
10th EAI International Conference on Bio-inspired Information and Communications Technologies (BICT), in USB memory, 8 pages, 1-8, 2017, Peer-reviwed
International conference proceedings, English

An Improved MOEA/D Utilizing Variation Angles for Multi-Objective Optimization
Hiroyuki Sato; Minami Miyakawa; Keiki Takadama
Proc. of the 2017 Genetic and Evolutionary Computation Conference (GECCO 2017), 163-164, 2017, Peer-reviwed
International conference proceedings, English

Utilization of Infeasible Solutions in MOEA/D for Solving Constrained Many-objective Optimization Problems
Minami Miyakawa; Yuji Sato; Hiroyuki Sato
Proc. of Late-Breaking Abstracts at the 2017 Genetic and Evolutionary Computation Conference (GECCO 2017), 35-36, 2017, Peer-reviwed
International conference proceedings, English

進化型多数目的最適化の現状と課題
佐藤寛之; 石渕久生
特集 多目的意思決定の深化と応用，オペレーションズ・リサーチ, 日本オペレーションズ・リサーチ学会 ; 1956-, 60, 3, 156-163, 2017, Peer-reviwed
Scientific journal, Japanese

A Study on Two-Level Infeasible Solution Repair for Evolutionary Multi-objective Set Packing Optimization
Mariko Tanaka; Yuki Yamagishi; Hidetoshi Nagai; Hiroyuki Sato
The 2017 International Symposium on Nonlinear Theory and Its Applications (NOLTA2017), 588-591, 2017, Peer-reviwed
International conference proceedings, English

A Study on Synapse Update of Inactive Cells in Cortical Learning Algorithm
Takeru Aoki; Keiki Takadama; Hiroyuki Sato
The 2017 International Symposium on Nonlinear Theory and Its Applications (NOLTA2017), 391-394, 2017, Peer-reviwed
International conference proceedings, English

Multi-Objective Optimization Problem Mapping Based on Algorithmic Parameter Rankings
Motoaki Kakuguchi; Minami Miyakawa; Keiki Takadama; Hiroyuki Sato
The 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), 2809-2816, 2017, Peer-reviwed
International conference proceedings, English

Preventing Incorrect Opinion Sharing with Weighted Relationship Among Agents
Rei Saito; Masaya Nakata; Hiroyuki Sato; Tim Kovacs; Keiki Takadama
Human Interface and the Management of Information: Applications and Services, Pt II, 9735, 50-62, 2016, Peer-reviwed
International conference proceedings, English

Personalized Real-Time Sleep Stage from Past Sleep Data to Today's Sleep Estimation
Yusuke Tajima; Tomohiro Harada; Hiroyuki Sato; Keiki Takadama
Human Interface and the Management of Information: Applications and Services, Pt II, 9735, 501-510, 2016, Peer-reviwed
International conference proceedings, English

Optimization of Aircraft Landing Route and Order Based on Novelty Search
Akinori Murata; Hiroyuki Sato; Keiki Takadama
INTELLIGENT AND EVOLUTIONARY SYSTEMS, IES 2016, 8, 291-304, 2016, Peer-reviwed
International conference proceedings, English

Extracting Different Abstracted Level Rule with Variance-Based LCS
Caili Zhang; Takato Tatsumi; Masaya Nakata; Keiki Takadama; Hiroyuki Sato; Tim Kovacs
2016 JOINT 8TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 17TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS), 160-165, 2016, Peer-reviwed
International conference proceedings, English

Learning Classifier System with Deep Autoencoder
Kazuma Matsumoto; Rei Saito; Yusuke Tajima; Masaya Nakata; Hiroyuki Sato; Tim Kovacs; Keiki Takadama
2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 4739-4746, 2016, Peer-reviwed
International conference proceedings, English

Variance-based Learning Classifier System without Convergence of Reward Estimation
Takato Tatsumi; Takahiro Komine; Masaya Nakata; Hiroyuki Sato; Tim Kovacs; Keiki Takadama
PROCEEDINGS OF THE 2016 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'16 COMPANION), 67-68, 2016, Peer-reviwed
International conference proceedings, English

A Modified Cuckoo Search Algorithm for Dynamic Optimization Problems
Yuta Umenai; Fumito Uwano; Yusuke Tajima; Masaya Nakata; Hiroyuki Sato; Keiki Takadama
2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 1757-1764, 2016, Peer-reviwed
International conference proceedings, English

Promoting Machine-code Program Evolution in Asynchronous Genetic Programming
Tomohiro Harada; Keiki Takadama; Hiroyuki Sato
SICE Journal of Control, Measurement, and System Integration (JCMSI), 9, 2, 93-102, 2016, Peer-reviwed
Scientific journal, English

Optimization of Aircraft Landing Route and Order: An Approach of Hierarchical Evolutionary Computation
Akinori Murata; Masaya Nakata; Hiroyuki Sato; Tim Kovacs; Keiki Takadama
EAI Endorsed Transactions on Self-Adaptive Systems, 2, 6, 1-8, 2016, Peer-reviwed
Scientific journal, English

Analysis of Inverted PBI and Comparison with Other Scalarizing Functions in Decomposition Based MOEAs
Hiroyuki Sato
JOURNAL OF HEURISTICS, 21, 6, 819-849, 2016, Peer-reviwed
Scientific journal, English

Controlling Selection Areas of Useful Infeasible Solutions for Directed Mating in Evolutionary Constrained Multi-objective Optimization
Minami Miyakawa; Keiki Takadama; Hiroyuki Sato
ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 76, 45293, 25-46, 2016, Peer-reviwed
Scientific journal, English

Evolutionary Multi-Level Robust Solution Search for Noisy Multi-Objective Optimization Problems with Different Noise Levels
Hiroyuki Sato; Tomohisa Hashimoto
International Journal of Automation and Logistics (IJAL), 2, 45293, 4-25, 2016, Peer-reviwed
Scientific journal, English

Evolutionary Multi-Objective Route and Fleet Assignment Optimization for Regular and Non-Regular Flights
Keiki Takadama; Takahiro Jinba; Tomohiro Harada; Hiroyuki Sato
International Journal of Automation and Logistics (IJAL), 2, 45293, 122-152, 2016, Peer-reviwed
Scientific journal, English

Chain-reaction Solution Update in MOEA/D and Its Effects on Multi- and Many-objective Optimization
Hiroyuki Sato
SOFT COMPUTING, 20, 10, 3803-3820, 2016, Peer-reviwed
Scientific journal, English

A Study on Directional Repair of Infeasible Solutions for Multi-Objective Knapsack Problems
Minami Miyakwa; Keiki Takadama; Hiroyuki Sato
The 2016 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP2016), 225-228, 2016, Peer-reviwed
International conference proceedings, English

A Study on Evolutionary Multi-level Robust Solution Search for Multi-objective Optimization Involving Multi-dimensional Noise
Tomohisa Hashimoto; Minami Miyakwa; Keiki Takadama; Hiroyuki Sato
The 2016 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP2016), 229-232, 2016, Peer-reviwed
International conference proceedings, English

Enhanced Decomposition-Based Many-Objective Optimization Using Supplemental Weight Vectors
Hiroyuki Sato; Satoshi Nakagawa; Minami Miyakawa; Keiki Takadama
2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 1626-1633, 2016, Peer-reviwed
International conference proceedings, English

Directional Repair in Evolutionary Optimization of m-Objective k-Knapsack Problems
Minami Miyakawa; Keiki Takadama; Hiroyuki Sato
Journal of Signal Processing, Research Institute of Signal Processing, Japan, 20, 4, 161-164, 2016, Peer-reviwed, To solve m-objective k-knapsack problems (mk-KPs) by using evolutionary algorithms, we propose a repair method that transforms infeasible solutions into feasible ones. In evolutionary multi-objective optimization, each solution in the population has a role in approximating a part of the Pareto front. However, since the conventional weighted scalar repair method (WSR) does not consider the position of each solution in the objective space, the solution diversity to approximate a wide range of the Pareto front is deteriorated. To improve the search performance of evolutionary algorithms for solving mk-KPs by enhancing the diversity of solutions, we propose a repair method considering the positions and repair directions of infeasible solutions in the objective space. Experimental results show that the proposed method improves the diversity of solutions and achieves higher search performance than the conventional WSR in mk-KPs.
Scientific journal, English

Evolutionary Algorithmic Parameter Optimization of MOEAs for Multiple Multi-Objective Problems
Motoaki Kakuguchi; Minami Miyakawa; Keiki Takadama; Hiroyuki Sato
2016 JOINT 8TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 17TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS), 30-35, 2016, Peer-reviwed
International conference proceedings, English

Effects of Chain-Reaction Initial Solution Arrangement in Decomposition-Based MOEAs
Hiroyuki Sato; Minami Miyakawa; Keiki Takadama
The 9th Eurosim Congress on Modelling and Simulation (EUROSIM2016), 992-997, 2016, Peer-reviwed
International conference proceedings, English

進化計算による多数目的最適化
佐藤寛之
「進化計算の新時代」特集号，システム制御情報学会論文誌，システム/制御/情報, 60, 7, 265-271, 2016, Peer-reviwed
Scientific journal, Japanese

Estimating Surrounding Symptom Level of Dementia Patient by Sleep Stage
Shingo Tomura; Tomohiro Harada; Hiroyuki Sato; Keiki Takadama; Makoto Aoki
2015 9TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION AND COMMUNICATION TECHNOLOGY (ISMICT), 190-194, 2015, Peer-reviwed
International conference proceedings, English

Optimization of Aircraft Landing Route and Order: An Approach of Hierarchical Evolutionary Computation.
Akinori Murata; Masaya Nakata; Hiroyuki Sato; Tim Kovacs; Keiki Takadama
BICT 2015, Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS), New York City, United States, December 3-5, 2015, ICST/ACM, 340-347, 2015, Peer-reviwed
International conference proceedings

Adaptive Control of Dominance Area of Solutions in Evolutionary Many-objective Optimization
Kouhei Tomita; Minami Miyakawa; Hiroyuki Sato
New Mathematics and Natural Computation, World Scientific Publishing Co. Pte Ltd, 11, 2, 135-150, 2015, Peer-reviwed
Scientific journal, English

MOEA/D Using Constant-Distance Based Neighbors Designed for Many-Objective Optimization
Hiroyuki Sato
2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2867-2874, 2015, Peer-reviwed
International conference proceedings, English

Directed Mating Using Inverted PBI Function for Constrained Multi-Objective Optimization
Minami Miyakawa; Keiki Takadama; Hiroyuki Sato
2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2929-2936, 2015, Peer-reviwed
International conference proceedings, English

An Efficient Parallel Solution Evaluations in MOEA/D by Avoiding Overlaps of Neighbors
Hiroyuki Sato; Minami Miyakawa; Elizabeth Perez-Cortes
Proc. of Workshop on Evolutionary Multi-Objective Optimization at 2015 IEEE Congress on Evolutionary Computation (CEC2015), 11-16, 2015, Peer-reviwed
International conference proceedings, English

A Study on Gradual Enhancement of the Approximation Granularity of Pareto Front in Evolutionary Many-Objective Optimization
Tomohisa Hashimoto; Hiroyuki Sato; Minami Miyakawa
Proc. of Workshop on Evolutionary Multi-Objective Optimization at 2015 IEEE Congress on Evolutionary Computation (CEC2015), 17-22, 2015, Peer-reviwed
International conference proceedings, English

A Parallel MOEA/D Generating Solutions in Minimum Overlapped Update Ranges of Solutions
Hiroyuki Sato; Minami Miyakawa; Elizabeth Pérez-Cortés
GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, Inc, 775-776, 2015, Peer-reviwed
International conference proceedings, English

Control of Crossed Genes Ratio for Directed Mating in Evolutionary Constrained Multi-Objective Continuous Optimization
Minami Miyakawa; Keiki Takadama; Hiroyuki Sato
GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, Inc, 1201-1204, 2015, Peer-reviwed
International conference proceedings, English

Evolutionary Algorithms for Uncertain Evaluation Functions
Yusuke Tajima; Masaya Nakata; Hiroyasu Matsushima; Yoshihiro Ichikawa; Hiroyuki Sato; Kiyohiko Hattori; Keiki Takadama
New Mathematics and Natural Computation, 11, 2, 201-215, 2015, Peer-reviwed
Scientific journal, English

Multi-Objective Optimization for Common and Special Components: First Step Toward Network Optimization of Regular and Non-Regular Flights
Takahiro Jinba; Hiroto Kitagawa; Eriko Azuma; Keiji Sato; Hiroyuki Sato; Kiyohiko Hattori; Keiki Takadama
New Mathematics and Natural Computation, World Scientific Publishing Co. Pte Ltd, 11, 2, 183-199, 2015, Peer-reviwed
Scientific journal, English

許容誤差を自己適応可能な学習分類子システム
辰巳 嵩豊; 小峯 嵩裕; 中田 雅也; 佐藤 寛之; 髙玉 圭樹
進化計算学会論文誌, The Japanese Society for Evolutionary Computation, 6, 2, 90-103, 2015, Peer-reviwed, The XCS classifier system is designed to evolve accurately generalized classifiers as an optimal solution to a problem. All classifiers are identified as either accurate or inaccurate on the basis of a pre-defined parameter called an accuracy criterion. Previous results suggested a standard setting of the accuracy criterion robustly performs on multiple simple problems so XCS evolves the optimal solution. However, there lacks a guideline of reasonable setting of accuracy criterion. This causes a problem that the accuracy criterion should be empirically customized for each complex problems especially noisy problems which is a main focus of this paper. This paper proposes a self-adaptation technique for the accuracy criterion which attempts to enable XCS to evolve the optimal solution on the noisy problems. In XCS-SAC(XCS with Self-Adaptive accuracy criterion), each classifier has its own accuracy criterion in order to find an adequate setting of accuracy criterion for each niche. Then, each classifier's accuracy criterion is updated with the variance of reward which its classifier has received. We test XCS-SAC on a benchmark classification problem (i.e., the multiplexer problem) with noise (the Gaussian noise and alternative noise). Experimental results show XCS-SAC successfully solves the noisy multiplexer problems as well as XCS but evolves a more compact solution including an optimal solution than XCS.
Scientific journal, Japanese

Estimating Surrounding Symptom Level of Dementia Person by Sleep Stage
Shingo Tomura; Tomohiro Harada; Hiroyuki Sato; Keiki Takadama; Makoto Aoki
The Ninth International Symposium on Medical Information and Communication Technology (ISMICT 2015), 201-205, 2015, Peer-reviwed
International conference proceedings, English

Handling Different Level of Unstable Reward Environment Through an Estimation of Reward Distribution in XCS
Takato Tatsumi; Takahiro Komine; Hiroyuki Sato; Keiki Takadama
2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2973-2980, 2015, Peer-reviwed
International conference proceedings, English

Toward Robustness Against Environmental Change Speed by Artificial Bee Colony Algorithm Based on Local Information Sharing
Ryo Takano; Tomohiro Harada; Hiroyuki Sato; Keiki Takadama
2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 1424-1431, 2015, Peer-reviwed
International conference proceedings, English

Sightseeing Plan Recommendation System Using Sequential Pattern Mining Based on Adjacent Activities
Takuma Fujitsuke; Tomohiro Harada; Hiroyuki Sato; Keiki Takadam; Tomohiro Yamaguchi
2015 10TH ASIAN CONTROL CONFERENCE (ASCC), 1-8, 2015, Peer-reviwed
International conference proceedings, English

Ship Route Evolutionary Optimization of Multiple Ship Companies for Distributed Coordination of Resources
Keiki Takadama; Eriko Azuma; Hiroyuki Sato; Takahiro Majima; Daisuke Watanabe; Mitujiro Katuhara
2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 1450-1457, 2015, Peer-reviwed
International conference proceedings, English

Control of Variable Exchange Probability for Directed Mating in Evolutionary Constrained Multi-Objective Continuous Optimization
Minami Miyakawa; Keiki Takadama; Hiroyuki Sato
2015 3RD INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL AND BUSINESS INTELLIGENCE (ISCBI 2015), 33-38, 2015, Peer-reviwed
International conference proceedings, English

Preferred Region Based Evolutionary Multi-Objective Optimization Using Parallel Coordinates Interface
Hiroyuki Sato; Kouhei Tomita; Minami Miyakawa
2015 3RD INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL AND BUSINESS INTELLIGENCE (ISCBI 2015), 89-94, 2015, Peer-reviwed
International conference proceedings, English

Archive of Useful Solutions for Directed Mating in Evolutionary Constrained Multiobjective Optimization
Minami Miyakawa; Keiki Takadama; Hiroyuki Sato
The Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Fuji Technology Press, 18, 2, 221-231, 2014, Peer-reviwed
Scientific journal, English

Controlling Selection Area of Useful Infeasible Solutions in Directed Mating for Evolutionary Constrained Multiobjective Optimization
Minami Miyakawa; Keiki Takadama; Hiroyuki Sato
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 8426, 137-152, 2014, Peer-reviwed
International conference proceedings, English

A Study on Distribution Control of Search Directions in Evolutionary Multi-Objective Optimization
Hiroyuki Sato
Proc. of the 2014 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP2014), 265-268, 2014, Peer-reviwed
International conference proceedings, English

Inverted PBI in MOEA/D and Its Impact on the Search Performance on Multi and Many-Objective Optimization
Hiroyuki Sato
GECCO'14: PROCEEDINGS OF THE 2014 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 645-652, 2014, Peer-reviwed
International conference proceedings, English

Controlling Selection Area of Useful Infeasible Solutions and Their Archive for Directed Mating in Evolutionary Constrained Multiobjective Optimization
Minami Miyakawa; Keiki Takadama; Hiroyuki Sato
GECCO'14: PROCEEDINGS OF THE 2014 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 629-636, 2014, Peer-reviwed
International conference proceedings, English

A Study on Multi-level Robust Solution Search for Noisy Multi-objective Optimization Problems
Tomohisa Hashimoto; Hiroyuki Sato
PROCEEDINGS OF THE 18TH ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS, VOL 2, 239-253, 2014, Peer-reviwed
International conference proceedings, English

Adaptive Update Range of Solutions in MOEA/D for Multi and Many-Objective Optimization
Hiroyuki Sato
SIMULATED EVOLUTION AND LEARNING (SEAL 2014), 8886, 274-286, 2014, Peer-reviwed
International conference proceedings, English

Multi Objective Optimization for Route Planning and Fleet Assignment in Regular and Non-regular Flights
Takahiro Jinba; Tomohiro Harada; Hiroyuki Sato; Keiki Takadama
Proc. of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2014), 561-575, 2014, Peer-reviwed
International conference proceedings, English

Artificial Bee Colony Algorithm Based on Local Information Sharing in Dynamic Environment
Ryo Takano; Tomohiro Harada; Hiroyuki Sato; Keiki Takadama
PROCEEDINGS OF THE 18TH ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS, VOL 1, 627-641, 2014, Peer-reviwed
International conference proceedings, English

多次元空間問題における商品属性の関係理解と商品選定の支援
沢田石 祐弥; 原田 智広; 佐藤 寛之; 服部 聖彦; 高玉 圭樹; 山口 智浩
電子情報通信学会誌, J97-A, 6, 482-491, 2014, Peer-reviwed
Scientific journal, Japanese

What Is Needed to Promote an Asynchronous Program Evolution in Genetic Programing?
Keiki Takadama; Tomohiro Harada; Hiroyuki Sato; Kiyohiko Hattori
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 8426, 227-241, 2014, Peer-reviwed
International conference proceedings, English

複数ロボット協調による大規模構造物組み立てにおける故障ロボット回収の影響
大谷 雅之; 佐藤 寛之; 服部 聖彦; 高玉 圭樹
電気学会論文誌. C, 電子・情報・システム部門誌 = The transactions of the Institute of Electrical Engineers of Japan. C, A publication of Electronics, Information and Systems Society, The Institute of Electrical Engineers of Japan, 133, 9, 1729-1737, 2013, Peer-reviwed, This paper focuses on the distributed control of the multiple robots which may be broken and investigates how the robots complete their task by collecting broken robots through the simulation of the large-scale structure assembly. For this purpose, we conduct multiagent simulation for collecting broken robots under the different failure rate of robots. Through the intensive simulations, we have revealed that a collection of broken robots before completing their own task (i.e., deploying their panel) is more effective than after complete their own task.
Scientific journal, Japanese

Variable Space Diversity, Crossover and Mutation in MOEA Solving Many-objective Knapsack Problems
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Annals of Mathematics and Artificial Intelligence, 68, 4, 197-224, 2013, Peer-reviwed
Scientific journal, English

別カテゴリ商品提示による好みの明確化を促す推薦システム
高玉 圭樹; 佐藤 史盟; 大谷 雅之; 服部 聖彦; 佐藤 寛之; 山口 智浩
人工知能学会論文誌, The Japanese Society for Artificial Intelligence, 28, 2, 210-219, 2013, Peer-reviwed, The paper proposes a novel recommender system which supports users to clarify the most appropriate preference by recommending other categories' items that almost meet the attributes selected by users. Such an advantage is achieved by both the preference ncretization of users and the preference change of users.To investigate the effectiveness of the proposed system, we conducted the human-subject experiments and found that the proposed system supports users to find their desirable items by clarifying their preference. Concretely, the following implications have been revealed: (1) the proposed recommender system with both the serendipity and decision buttons enables users to clarify their preference by comparing items which are classified in different categories; (2) in detail, the item recommendation based on the selected item attributes contributes to clarifying the users' preference through a change of their preference, while the item recommendation based on the item characteristic contributes to clarifying the users' preference through a concretization of their preference; and (3) the proposed recommender system with the decision button succeeds the further clarification of the preference of users who have already clarified it.
Scientific journal, Japanese

二段階の非支配ソーティングと指向性交配による制約付き多目的最適化
宮川 みなみ; 佐藤 寛之
進化計算学会論文誌, 3, 3, 185-196, 2013, Peer-reviwed
Scientific journal, Japanese

Robust Bus Route Optimization to Destruction of Roads
Hiroto Kitagawa; Keiji Sato; Keiki Takadama; Hiroyuki Sato; Kiyohiko Hattori
The Fifth International Workshop on Emergent Intelligence onNetworked Agents (WEIN 2013), at 12th International JointConference on Autonomous Agents and Multi-agent Systems (AAMAS2013), 173-185, 2013, Peer-reviwed
International conference proceedings, English

Towards Understanding of Relationship Among Pareto Optimal Solutions in Multi-dimensional Space via Interactive System
Keiki Takadama; Yuya Sawadaishi; Tomohiro Harada; Yoshihiro Ichikawa; Keiji Sato; Kiyohiko Hattori; Hiroyoki Sato; Tomohiro Yamaguchi
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8018, 3, 137-146, 2013, Peer-reviwed
International conference proceedings, English

A Study on Evolutionary Multi-Objective Racing Car Design Optimization Using a Parallel MOEA/D
Hiroyuki Sato; Minori Imajima; Minami Miyakawa
The 2013 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP2013), 608-611, 2013, Peer-reviwed
International conference proceedings, English

Self-Adaptive Control of the Number of Crossed Genes in Evolutionary Many-Optimization and Its Behavior
Hiroyuki Sato; Carlos A. Coello Coello; Hernán Aguirre; Kiyoshi Tanaka
The 2013 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP2013), 157-160, 2013, Peer-reviwed
International conference proceedings, English

Two-stage Non-dominated Sorting and Directed Mating for Solving Problems with Multi-objectives and Constraints
Minami Miyakawa; Keiki Takadama; Hiroyuki Sato
GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference, 647-654, 2013, Peer-reviwed
International conference proceedings, English

交叉する遺伝子数の制御法と解の支配領域の自己制御法による進化型多数目的最適化
佐藤 寛之; エルナン・アギレ; 田中 清
進化計算学会論文誌, 4, 1, 46-56, 2013, Peer-reviwed
Scientific journal, Japanese

環境変化に適応するためのピボット型一般化
佐藤 圭二; 佐藤 寛之; 高玉 圭樹
計測自動制御学会論文誌, 49, 11, 1020-1028, 2013, Peer-reviwed
Scientific journal, Japanese

複数ロボット協調による大規模構造物組み立てにおける故障ロボット回収タスクの影響
大谷 雅之; 佐藤寛之; 服部 聖彦; 高玉 圭樹
電気学会論文誌C, 131, 9, 1729-1737, 2013, Peer-reviwed
Scientific journal, Japanese

On the Impact of Path Redundancy Awareness in Evolutionary P2P Networking
Elizabeth Pérez-Cortés; Hiroyuki Sato
Journal of Advanced Computational Intelligence and Intelligent Informatics, Fuji Technology Press, 17, 6, 872-882, 2013, Peer-reviwed
Scientific journal, English

Adaptive Control of the Number of Crossed Genes in Many-objective Evolutionary Optimization
Hiroyuki Sato; Carlos A. Coello Coello; Hernán E. Aguirre; Kiyoshi Tanaka
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7219, 478-484, 2012, Peer-reviwed
International conference proceedings, English

Roles of CCG Crossover and Mutation in Evolutionary Many-objective Optimization
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
2012 WORLD AUTOMATION CONGRESS (WAC), 1-6, 2012, Peer-reviwed
International conference proceedings, English

進化型多数目的最適化における交叉遺伝子数の自己適応：多数目的0/1 ナップザック問題における性能検証
佐藤 寛之; カルロス・コエロ; エルナン・アギレ; 田中 清
進化計算学会論文誌, 3, 3, 122-132, 2012, Peer-reviwed
Scientific journal, Japanese

Evolutionary Optimization for Feeder Route Network Using Multi-Objective Clustering
Keiji Sato; Saori Iseya; Keiki Takadama; Hiroyuki Sato; Kiyohiko Hattori
International Journal of Advancements in Computing Technology, 4, 22, 269-280, 2012, Peer-reviwed
Scientific journal, English

Sleep Stage Estimation by Evolutionary Computation Using Heartbeat Data and Body-Movement
Hiroyasu Matsushima; Kazuyuki Hirose; Kiyohiko Hattori; Hiroyuki Sato; Keiki Takadama
International Journal of Advancements in Computing Technology, 4, 22, 281-290, 2012, Peer-reviwed
Scientific journal, English

Effects of Two-Stage Non-Dominated Sorting and Directed Mating in Constrained MOEAs
Minami Miyakawa; Hiroyuki Sato
Proc. of 2012 International Workshop on Modern Science and Technology (IWMST 2012), 372-377, 2012, Peer-reviwed
International conference proceedings, English

Local Recombination Controlling Bit Swap Probability in Evolutionary Many-Objective Optimization
Masaharu Horino; Hiroyuki Sato
Proc. of 2012 International Workshop on Modern Science and Technology (IWMST 2012), 394-399, 2012, Peer-reviwed
International conference proceedings, English

Dynamic Control of the Number of Crossed Genes in Evolutionary Many-Objective Optimization
Hiroyuki Sato; Carlos A. Coello Coello; Hernán Aguirre; Kiyoshi Tanaka
6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS, 1435-1440, 2012, Peer-reviwed
International conference proceedings, English

An Evolutionary Algorithm Using Two-stage Non-dominated Sorting and Directed Mating for Constrained Multi-objective Optimization
Minami Miyakawa; Hiroyuki Sato
6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS, 1441-1446, 2012, Peer-reviwed
International conference proceedings, English

A Study on Adaptive Control of Dominance Area in Evolutionary Many-Objective Optimization
Kohei Tomita; Minami Miyakawa; Hiroyuki Sato
The 16th Asia Pacific Symposium of Intelligent and Evolutionary Systems (IES2012), 8-14, 2012, Peer-reviwed
International conference proceedings, English

Evolutionary P2P Networking Enhancing Link Diversity
Elizabeth Perez-Cortes; Hiroyuki Sato
The 16th Asia Pacific Symposium of Intelligent and Evolutionary Systems (IES2012), 19-24, 2012, Peer-reviwed
International conference proceedings, English

Ship Route Optimization by Multi-Objective EvolutionaryComputation Based on Dynamic Reference Point
Eriko Azuma; Keiji Sato; Hiroyuki Sato; Kiyohiko Hattori; Keiki Takadama
International Conference on Humanized System 2012 (ICHS 2012), 209-214, 2012, Peer-reviwed
International conference proceedings, English

Cluster-based Bus Route Optimization for Stranded Persons in Disaster
Hiroto Kitagawa; Keiji Sato; Hiroyuki Sato; Kiyohiko Hattori; Keiki Takadama
International Conference on Humanized System 2012 (ICHS 2012), 224-227, 2012, Peer-reviwed
International conference proceedings, English

Layout Optimization of Advertisements on News Websites by Genetic Algorithm
Noriyuki Muramatsu; Keiki Takadama; Hiroyuki Sato; Maki Sakamoto
International Workshop on Modern Science and Technology (IWMST 2012), 384-389, 2012, Peer-reviwed
International conference proceedings, English

Optimizing Ship Routes by Evolutionary Computation in CompetitiveShip Companies
Eriko Azuma; Keiji Sato; Hiroyuki Sato; Kiyohiko Hattori; Keiki Takadama
International Workshop on Modern Science and Technology (IWMST 2012), 378-383, 2012, Peer-reviwed
International conference proceedings, English

Robust Bus Route Optimization by Connecting/Extending Routes
Hiroto Kitagawa; Keiji Sato; Hiroyuki Sato; Kiyohiko Hattori; Keiki Takadama
International Workshop on Modern Science and Technology (IWMST 2012), 390-393, 2012, Peer-reviwed
International conference proceedings, English

Towards Network Optimization of Regular and Non-regular Flights
Takahiro Jinba; Hiroto Kitagawa; Eriko Azuma; Keiji Sato; Hiroyuki Sato; Kiyohiko Hattori; Keiki Takadama
The 16th International Symposium on Intelligent and EvolutionarySystems (IES 2012), 124-128, 2012, Peer-reviwed
International conference proceedings, English

Preference Clarification Recommender System by Searching ItemsBeyond Category
Keiki Takadama; Fumiaki Sato; Masayuki Otani; Kiyohiko Hattori; Hiroyuki Sato; Tomohiro Yamaguchi
The IADIS Interfaces and Human Computer Interaction 2012Conference (IHCI 2012), 3-10, 2012, Peer-reviwed
International conference proceedings, English

Genetic Diversity and Effective Crossover in Evolutionary Many-objective Optimization
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6683, 91-105, 2011, Peer-reviwed
International conference proceedings, English

Improved S-CDASusing Crossover Controlling the Number of Crossed Genes for Many-objective Optimizatio
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
GECCO-2011: PROCEEDINGS OF THE 13TH ANNUAL GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 753-760, 2011, Peer-reviwed
International conference proceedings, English

Robustness to Bit Inversion in Registers and Acceleration of Program Evolution in On-Board Computer
Tomohiro Harada; Masayuki Otani; Yoshihiro Ichikawa; Kiyohiko Hattori; Hiroyuki Sato; Keiki Takadama
Journal of Advanced Computational Intelligence and Intelligent Informatics, Fuji Technology Press, 15, 8, 1175-1185, 2011, Peer-reviwed
Scientific journal, English

Improving Recovery Capability of Multiple Robots in Different Scale Structure Assembly
Masayuki Otani; Kiyohiko Hattori; Hiroyuki Sato; Keiki Takadama
Journal of Advanced Computational Intelligence and Intelligent Informatics, Fuji Technology Press, 15, 8, 1186-1196, 2011, Peer-reviwed
Scientific journal, English

What Kinds of Human Negotiation Skill Can Be Acquired by Changing Negotiation Order of Bargaining Agents?
Keiki Takadama; Atsushi Otaki; Keiji Sato; Hiroyasu Matsushima; Masayuki Otani; Yoshihiro Ichikawa; Kiyohiko Hattori; Hiroyoki Sato
HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: INTERACTING WITH INFORMATION, PT 2, 6772, 335-344, 2011, Peer-reviwed
International conference proceedings, English

The Biased Multi-objective Optimization Using the Reference Point: Toward the Industrial Logistics Network
Eriko Azuma; Tomohiro Shimada; Keiki Takadama; Hiroyuki Sato; Kiyohiko Hattori
Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011, 2, 27-30, 2011, Peer-reviwed
International conference proceedings, English

Sleep Stage Estimation By Evolutionary Computation Using Heartbeat Data and Body-Movement
Hiroyasu Matsushima; Kazuyuki Hirose; Kiyohiko Hattori; Hiroyuki Sato; Keiki Takadama
The 15th International Symposium on Intelligent and Evolutionary Systems (IES 2011), 103-110, 2011, Peer-reviwed
International conference proceedings, English

Evolutionary Optimization for Feeder Route Network Using Multi-Objective Clustering
Keiji Sato; Saori Iseya; Keiki Takadama; Hiroyuki Sato; Kiyohiko Hattori
The 15th International Symposium on Intelligent and Evolutionary Systems (IES 2011), 76-83, 2011, Peer-reviwed
International conference proceedings, English

Cooperation Among Multiple Robots by Collecting Broken Robots in Large-Scale Structure Assembly
Masayuki Otani; Kiyohiko Hattori; Hiroyuki Sato; Keiki Takadama
The 2011 IEEE/SICE International Symposium on System Integration (SII 2011), 691-696, 2011, Peer-reviwed
International conference proceedings, English

Large-scale Structure Assembly by Multiple Robots Which May Be Broken
Masayuki Otani; Kiyohiko Hattori; Hiroyuki Sato; Keiki Takadama
Lecture Notes in Electrical Engineering, 67, 567-576, 2010, Peer-reviwed
International conference proceedings, English

Pareto Partial Dominance MOEA and Hybrid Archiving Strategy Included CDAS in Many-Objective Optimization
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 3720-3727, 2010, Peer-reviwed
International conference proceedings, English

A Study on Archiving Strategy in Partial Dominance MOEA
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Proc. 2010 International Symposium on Intelligent Systems (iFAN 2010), in USB memory, 1-6, 2010, Peer-reviwed
International conference proceedings, English

A Study on Interval to Switch Combination of Objectives Considered in Pareto Partial Dominance MOEA
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Proc. 2010 World Automation Congress (WAC 2010), in CD-ROM, 1-6, 2010, Peer-reviwed
International conference proceedings, English

Self-Controlling Dominance Area of Solutions in Evolutionary Many-Objective Optimization
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
SIMULATED EVOLUTION AND LEARNING, 6457, 455-465, 2010, Peer-reviwed
International conference proceedings, English

多数目的0/1ナップザック問題における部分支配を時間的に切り替えるMOEAの効果
佐藤 寛之; エルナン・アギレ; 田中 清
人工知能学会論文誌, The Japanese Society for Artificial Intelligence, 25, 2, 320-331, 2010, Peer-reviwed, In this work, we propose a novel multi-objective evolutionary algorithm (MOEA) which improves search performance of MOEA especially for many-objective combinatorial optimization problems. Pareto dominance based MOEAs such as NSGA-II and SPEA2 meet difficulty to rank solutions in the population noticeably deteriorating search performance as we increase the number of objectives. In the proposed method, we rank solutions by calculating Pareto partial dominance between solutions using r objective functions selected from m objective functions to induce appropriate selection pressure in many-objective optimization by Pareto-based MOEA. Also, we temporally switch r objective functions among _mC_r combinations in every interval generations I_g to optimize all of the objective functions throughout the entire evolution process. In this work, we use many-objective 0/1 knapsack problems to show the search performance of the proposed method and analyze its evolution behavior. Simulation results show that there is an optimum value for the number of objective functions r to be considered for the calculation of Pareto partial dominance and the interval (generation numbers) I_g to maximize the entire search performance. Also, the search performance of the proposed method is superior to recent state-of-the-art MOEAs, i.e., IBEA, CDAS and MSOPS. Furthermore, we show that the computational time of the proposed method is much less than IBEA, CDAS and MSOPS, and comparative or sometimes less than NSGA-II.
Scientific journal, Japanese

解の支配領域の自己制御による進化型多数目的最適化: 多数目的 0/1 ナップザック問題における性能検証と挙動解析
佐藤 寛之; エルナン・アギレ; 田中 清
進化計算学会論文誌, The Japanese Society for Evolutionary Computation, 1, 1, 32-42, 2010, Peer-reviwed, Controlling dominance area of solutions (CDAS) relaxes the concepts of Pareto dominance with an user defined parameter S. This method enhances the search performance of dominance-based MOEA in many-objective optimization problems (MaOPs). However, to bring out desirable search performance, we have to experimentally find out S that controls dominance areas appropriately. Also, there is a tendency to deteriorate the diversity of solutions obtained by CDAS when we decrease S from 0.5. To solve these problems, in this work, we propose a modification of CDAS called self-controlling dominance area of solutions (S-CDAS). In S-CDAS, the algorithm self-controls dominance areas for each solution without the need of an external parameter. S-CDAS considers convergence and diversity and realizes a fine grained ranking that is different from conventional CDAS. In this work, we focus on combinatorial optimization and use many-objective 0/1 knapsack problems with m = 4∼10 objectives to verify the search performance of the proposed method. Simulation results show that S-CDAS achieves well-balanced search performance on both convergence and diversity compared to conventional NSGA-II, CDAS, IBEA_ε+ and MSOPS. In addition, the algorithm's behavior of S-CDAS is analyzed and discussed.
Scientific journal, Japanese

Improving Sleep Stage Estimation by Specializing Multiple Band-Pass Filters and Discrete Heartbeat Data
Keiki Takadama; Kazuyuki Hirose; Hiroyasu Matsushima; Kiyohiko Hattori; Hiroyuki Sato; Nobuo Nakajima
The Fourth International Symposium on Medical Information and Communication Technology (ISMICT 2010), 0-0, 2010, Peer-reviwed
International conference proceedings, English

Hybrid Directional-Biased Evolutionary Algorithm for Multi-Objective Optimization
Tomohiro Shimada; Masayuki Otani; Hiroyasu Matsushima; Hiroyuki Sato; Kiyohiko Hattori; Keiki Takadama
PARALLEL PROBLEM SOLVING FROM NATURE-PPSN XI, PT II, 6239, 121-130, 2010, Peer-reviwed
International conference proceedings, English

Dynamic Matching Range in Exemplar-Based Learning Classifier System
Hiroyasu Matsushima; Kiyohiko Hattori; Hiroyuki Sato; Keiki Takadama
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 1975-1982, 2010, Peer-reviwed
International conference proceedings, English

Robustness to Bit Inversion in Registers and Acceleration of Program Evolution in On-Board Computer
Tomohiro Harada; Masayuki Otani; Yoshihiro Ichikawa; Kiyohiko Hattori; Hiroyuki Sato; Keiki Takadama
The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2010), 802-809, 2010, Peer-reviwed
International conference proceedings, English

Improving Recovery Capability of Multiple Robots in Different Scale Structure Assembly
Masayuki Otani; Kiyohiko Hattori; Hiroyuki Sato; Keiki Takadama
The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2010), 873-880, 2010, Peer-reviwed
International conference proceedings, English

Towards Care Plans of Aged Persons by Multi-Objective Optimization
Tomohiro Shimada; Hiroyasu Matsushima; Hiroyuki Sato; Kiyohiko Hattori; Keiki Takadama
SICE Annual Conference 2010, SB15-5, 3258-3263, 2010, Peer-reviwed
International conference proceedings, English

Towards an Objective Generation As an Autonomous Agent Architecture
Ayano Kanamaru; Kiyohiko Hattori; Hiroyuki Sato; Keiki Takadama
SICE Annual Conference 2010, SA15-1, 2763-2768, 2010, Peer-reviwed
International conference proceedings, English

Serendipity-Based Recommender System in Web Shopping
Fumiaki Sato; Atushi Otaki; Kiyohiko Hattori; Hiroyuki Sato; Keiki Takadama
The IADIS Interfaces and Human Computer Interaction 2010 Conference (IHCI 2010), 440-442, 2010, Peer-reviwed
International conference proceedings, English

Robustness of Deadlock Avoidance in Assembling Large-scale Structure by Multiple Robots Having Trouble and Individual Differences
Masayuki Otani; Kiyohiko Hattori; Hiroyuki Sato; Keiki Takadama
The 18th IFAC Symposium on Automatic Control in Aerospace (ACA 2010), 0-0, 2010, Peer-reviwed
International conference proceedings, English

Local Dominance MOEA Including Control of Dominance Area of Solutions on 0/1 Multiobjective Knapsack Problems
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Transactions of the Japanese Society for Artificial Intelligence, Japanese Society for Artificial Intelligence, 24, 1, 69-79, 2009, Peer-reviwed
Scientific journal, Japanese

Pareto Partial Dominance MOEA in Many-Objective Optimization
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Proc. of the 2009 AI*IA Workshop on Complexity, Evolution and Emergent Intelligence, in CD-ROM, 1-10, 2009, Peer-reviwed
International conference proceedings, English

Analysis of NSGA-II and NSGA-II with CDAS, and Proposal of an Enhanced CDAS Mechanism
Kyoko Tsuchida; Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Journal of Advanced Computational Intelligence and Intelligent Informatics, Fuji Technology Press, 13, 4, 470-480, 2009, Peer-reviwed
Scientific journal, English

Local Dominance and Controlling Dominance Area of Solutions in Multi and Many Objectives EAs
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Lead, Graduate Student Workshop in 2008 Genetic and Evolutionary Computation Conference (GECCO 2008), in CD-ROM, 1811-1814, 2008, Peer-reviwed
International conference proceedings, English

Functionality Transition in the Evolution Process of NSGA-II and Potentials for Performance Improvement
Kyoko Tsuchida; Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Proc. Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS&ISIS 2008), 1043-1048, 2008, Peer-reviwed
International conference proceedings, English

Enhancing Multiobjective Evolutionary Algorithms by Local Dominance and Local Recombination: Performance Verification in Multiobjective 0/1 Knapsack Problems
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
IPSJ Trans. Mathematical Modeling and Its Applications, Information and Media Technologies Editorial Board, Vol.48, No.SIG12 (TOM16), 98-113, 2007, Peer-reviwed, This paper proposes a method to enhance single population multiobjective evolutionary algorithms (MOEAs) by searching based on local dominance and local recombination. In this method, first, all fitness vectors of individuals are transformed to polar coordinate vectors in objective function space. Then, the population is iteratively divided into several subpopulations by using declination angles. As a result, each sub-population covers a sub-region in the multiobjective space with its individuals located around the same search direction. Next, local dominance is calculated separately for each sub-population after alignment of its principle search direction by rotation. Selection, recombination, and mutation are applied to individuals within each sub-population. The proposed method can improve the performance of MOEAs that use dominance based selection, and can reduce the entire computational cost to calculate dominance among solutions as well. In this paper we verify the effectiveness of the proposed method obtaining Pareto optimal solutions in two representative MOEAs, i.e. NSGA-II and SPEA2, with Multiobjective 0/1 Knapsack Problems.
Scientific journal, English

Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
EVOLUTIONARY MULTI-CRITERION OPTIMIZATION, PROCEEDINGS, 4403, 5-20, 2007, Peer-reviwed
International conference proceedings, English

Local Dominance Including Control of Dominance Area of Solutions in MOEAs
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN MULTI-CRITERIA DECISION MAKING, 310-317, 2007, Peer-reviwed
International conference proceedings, English

Controlling Dominance Area of Solutions in Multiobjective Evolutionary Algorithms and Performance Analysis on Multiobjective 0/1 Knapsack Problems
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
IPSJ Trans. Mathematical Modeling and Its Applications, Information and Media Technologies Editorial Board, Vol.48, No.SIG15 (TOM18), 137-152, 2007, Peer-reviwed, This work proposes a method to control the dominance area of solutions in order to induce appropriate ranking of solutions for the problem at hand, enhance selection, and improve the performance of MOEAs on combinatorial optimization problems. The proposed method can control the degree of expansion or contraction of the dominance area of solutions using a user-defined parameter S. Modifying the dominance area of solutions changes their dominance relation inducing a ranking of solutions that is different to conventional dominance. In this work we use 0/1 multiobjective knapsack problems to analyze the effects on solutions ranking caused by contracting and expanding the dominance area of solutions and its impact on the search performance of a multi-objective optimizer when the number of objectives, the size of the search space, and the feasibility of the problems vary. We show that either convergence or diversity can be emphasized by contracting or expanding the dominance area. Also, we show that the optimal value of the area of dominance depends strongly on all factors analyzed here: number of objectives, size of the search space, and feasibility of the problems.
Scientific journal, English

Local Dominance and Local Recombination in MOEAs on 0/1 Multiobjective Knapsack Problems
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Lead, EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 181, 3, 1708-1723, 2007, Peer-reviwed
Scientific journal, English

Effect of Controlling Dominance Area of Solutions in MOEAs on Convex Problems with Many Objectives
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
The 7th International Conference on Optimization: Techniques and Applications (ICOTA7), in CD-ROM, 1-10, 2007, Peer-reviwed
International conference proceedings, English

On the Locality of Dominance and Recombination in Multiobjective Evolutionary Algorithms
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
2005 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-3, PROCEEDINGS, 451-458, 2005, Peer-reviwed
International conference proceedings, English

Enhanced Multi-objective Evolutionary Algorithms Using Local Dominance
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Lead, Proc. International Workshop on Nonlinear Circuits and Signal Processing (NCSP2004), in CD-ROM, 319-322, 2004, Peer-reviwed
International conference proceedings, English

Local Dominance Using Polar Coordinates to Enhance Multiobjective Evolutionary Algorithms
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
CEC2004: PROCEEDINGS OF THE 2004 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 188-195, 2004, Peer-reviwed
International conference proceedings, English

Effects from Local Dominance and Local Recombination in Enhanced MOEAs
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Proc. 5th International Conference on Simulated Evolution and Learning (SEAL2004), in CD-ROM, 1-6, 2004, Peer-reviwed
International conference proceedings, English

Many-Criteria Optimization and Decision Analysis
Scholarly book, English, Joint work, Chapter 5 Many-Objective Quality Measures, 28 Jul. 2023, with international co-author(s), 9783031252631

人工知能AI事典 第3版
Dictionary or encycropedia, Japanese, Contributor, 21 Dec. 2019

報酬関数を外部条件付クエリとしたパラメータ生成型メタ深層強化学習
杭谷 拓海; 佐藤 寛之; 高玉 圭樹
Poster presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会(SSI2025), to appear
13 Nov. 2025
12 Nov. 2025- 14 Nov. 2025

特徴損失を低減した自律型Grid Cell Netによる識別性能改善
松田 優一; 高玉 圭樹; 佐藤 寛之
Poster presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会(SSI2025), to appear
13 Nov. 2025
12 Nov. 2025- 14 Nov. 2025

制約条件の分解に基づくプッシュ・プル探索に関する一検討
高宮 諒翔; 宮川 みなみ; 高玉 圭樹; 佐藤 寛之
Poster presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会(SSI2025), to appear
13 Nov. 2025
12 Nov. 2025- 14 Nov. 2025

マルチロボット探索に向けた粒子群を用いた空間分割に関する一検討
渡邉貴大; 高玉圭樹; 佐藤寛之
Poster presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会(SSI2025), to appear
13 Nov. 2025
12 Nov. 2025- 14 Nov. 2025

フローマッチングと進化計算を用いた転移最適化に関する一検討
平川 雄基; 高玉 圭樹; 佐藤 寛之
Poster presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会(SSI2025), to appear
13 Nov. 2025
12 Nov. 2025- 14 Nov. 2025

傾向変化を含む実時系列データ予測のための適応的多層大脳新皮質学習アルゴリズム
藤野和志; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 第33回インテリジェント・システム・シンポジウム (FAN2025), pp. 83--88
26 Sep. 2025
25 Sep. 2025- 26 Sep. 2025

制約付き多目的最適化のためのプッシュ・プル探索における網羅性アーカイブを用いた指向性交配の効果
高宮 諒翔; 宮川 みなみ; 高玉 圭樹; 佐藤 寛之
Poster presentation, Japanese, 第28回進化計算学会研究会, pp. 7--16
01 Sep. 2025
01 Sep. 2025- 02 Sep. 2025

変数間依存性を考慮した実世界の段ボール生産計画のための多目的進化計算
皆川 伊織; 宮下啓之; 藤尾孝; 飯田勉; 佐藤 寛之
Poster presentation, Japanese, 第28回進化計算学会研究会, pp. 1--6
01 Sep. 2025
01 Sep. 2025- 02 Sep. 2025

進化計算が切り拓く産業界の最適化
佐藤 寛之
Invited oral presentation, Japanese, Quality-Diversityに基づく多様な構造を持つ最適化問題の研究 研究会, Invited, https://joint.imi.kyushu-u.ac.jp/post-17940/
20 Aug. 2025
20 Aug. 2025- 22 Aug. 2025

社会に届く最適解：進化計算と産学連携が切り拓く可能性
佐藤寛之
Invited oral presentation, Japanese, 第26回コンピューテーショナル・インテリジェンス研究会, Invited
10 Jul. 2025
10 Jul. 2025- 10 Jul. 2025

多目的最適化におけるクラスタリングによるマルチモダルパレートセット推定
鈴村 祐貴; 太田 恵大; 佐藤 寛之
Oral presentation, Japanese, 第26回コンピューテーショナル・インテリジェンス研究会, 6 pages
10 Jul. 2025
10 Jul. 2025- 10 Jul. 2025

非有界探索空間におけるnovelty-based multi-objectivizationによるexplorationの制御
石澤竜; 佐藤寛之; 高玉圭樹
Poster presentation, Japanese, 進化計算シンポジウム2024, pp. 335--342
2024
21 Dec. 2024- 22 Dec. 2024

多目的連続最適化のためのヘルパー関数に基づく部分多目的化による解分布改善
望月啓吾; 石塚智貴; 佐藤寛之; 高玉圭樹
Poster presentation, Japanese, 進化計算シンポジウム2024, pp. 313--320
2024
21 Dec. 2024- 22 Dec. 2024

制約許容範囲の最大化に向けた実行不可能解の活用と局所探索に基づく運航ダイヤの多目的最適化
石塚智貴; 佐藤寛之; 村田暁紀; 高玉圭樹
Poster presentation, Japanese, 進化計算シンポジウム2024, pp. 262--269
2024
21 Dec. 2024- 22 Dec. 2024

制約付き多目的最適化問題の多因子進化計算による解法の検討
梅田拓; 土井護; 佐藤寛之
Poster presentation, Japanese, 進化計算シンポジウム2024, pp. 219--224
2024
21 Dec. 2024- 22 Dec. 2024

多峰性動的関数最適化のためのニッチング群動的最適化
藤田翔英; 石澤竜希; 佐藤寛之; 高玉圭樹
Poster presentation, Japanese, 進化計算シンポジウム2024, pp. 165--172
2024
21 Dec. 2024- 22 Dec. 2024

多目的進化計算による実世界の段ボール生産計画最適化に関する検討
皆川伊織; 川上紫央; 宮下啓之; 飯田勉; 佐藤寛之
Poster presentation, Japanese, 進化計算シンポジウム2024, pp. 91--98
2024
21 Dec. 2024- 22 Dec. 2024

制約付き多目的最適化のためのプッシュ・プル探索における実行不可能アーカイブを用いた指向性交配の効果
高宮諒翔; 宮川みなみ; 高玉圭樹; 佐藤寛之
Poster presentation, Japanese, 進化計算シンポジウム2024, pp. 73--82
2024
21 Dec. 2024- 22 Dec. 2024

制約と目的の類似度を変更可能な多因子ナップザック問題と進化計算の効果
川上 紫央; 高玉 圭樹; 佐藤 寛之
Poster presentation, Japanese, 第26回進化計算学会研究会, pp. 9--18
09 Sep. 2024
09 Sep. 2024- 10 Sep. 2024

Evolutionary Many-Objective Optimization
Hiroyuki Sato
Invited oral presentation, English, The 2nd IEEE Computational Intelligence Society (CIS) Summer School on Contemporary Advancement in Multi Objective Optimization (CAMOO), Invited, IEEE Computational Intelligence Society, Kolkata Chapter, http://www.aus.ac.in/tssot-cse/wp-content/uploads/sites/61/2024/09/IEEE_CIS_AUS_Summer_School.pdf
18 Aug. 2024
16 Aug. 2024- 21 Aug. 2024

パレートフロントのアンサンブル推定に関する検討
木川田 幸翼; 奥村 成; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 第25回進化計算学会研究会, pp. 169--178
2024
21 Mar. 2024- 22 Mar. 2024

解集合アグリゲーションのためのパレートフロントモデルの最適化―テスト問題とビル運用最適化問題における検証―
奥村 成; 太田 恵大; 佐藤 冬樹; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 第25回進化計算学会研究会, pp. 158--168
2024
21 Mar. 2024- 22 Mar. 2024

⼤脳新⽪質学習に基づくサッカード運動の模倣に関する検討
松⽥優⼀; 丹⽻和磨; ⾼⽟圭樹; 佐藤寛之
Oral presentation, Japanese, 第51回 知能システムシンポジウム，計測自動制御学会 システム・情報部門, pp. 66--71
2024
11 Mar. 2024- 12 Mar. 2024

⼤脳新⽪質学習に基づく多変量の時系列予測の補完に関する検討
丹⽻和磨; 藤野和志; ⾼⽟圭樹; 佐藤寛之
Oral presentation, Japanese, 第51回 知能システムシンポジウム，計測自動制御学会 システム・情報部門, pp. 61--65
2024
11 Mar. 2024- 12 Mar. 2024

Sustainable Real-world Applications Through Evolutionary Multi/Many-objective Optimization
Hiroyuki Sato
Keynote oral presentation, English, The 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence 2024), Invited
2024
18 Jan. 2024- 19 Jan. 2024

パレート局所解ネットワークの近似的な構築
田中 彰一郎; Gabriela Ochoa; Arnaud Liefooghe; 髙玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 進化計算シンポジウム2023, pp. 224--233
2023
21 Dec. 2023- 22 Dec. 2023

制約付き多目的最適化のためのプッシュ・プル探索における指向性交配
高宮 諒翔; 宮川 みなみ; 髙玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 進化計算シンポジウム2023, pp. 19--26
2023
21 Dec. 2023- 22 Dec. 2023

タスク間類似度を用いる制約付き進化多因子最適化に関する一検討
川上 紫央; 髙玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 進化計算シンポジウム2023, pp. 338--345
2023
21 Dec. 2023- 22 Dec. 2023

多目的進化計算における非劣解アーカイブからの親集合の再選択に関する検討
佐藤 和磨; 奥村 成; 髙玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 進化計算シンポジウム2023, pp. 151--157
2023
21 Dec. 2023- 22 Dec. 2023

洋上の航空路への合流へ向けたロバストスケジューリング
石塚 智貴; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算シンポジウム2023, pp. 462--466
2023
21 Dec. 2023- 22 Dec. 2023

多目的連続最適化問題における変数間属性を考慮したヘルパー関数の設計
望月 啓吾; 谷津 直弥; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算シンポジウム2023, pp. 441--448
2023
21 Dec. 2023- 22 Dec. 2023

PSOとCMA-ESの相互支援による動的関数のピーク追従
藤田 翔英; 石澤 竜希; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算シンポジウム2023, pp. 372--379
2023
21 Dec. 2023- 22 Dec. 2023

目的関数変形による局所解探索の促進
空閑 智也; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算シンポジウム2023, pp. 354--358
2023
21 Dec. 2023- 22 Dec. 2023

k近傍照合を用いた進化的ルール学習によるWeighted Prototype Selection
谷津 直弥; 白石 洋輝; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算シンポジウム2023, pp. 309--316
2023
21 Dec. 2023- 22 Dec. 2023

非有界探索空間最適化に向けたNovelty based Multi-Objectivizationによる多峰性多点探索
石澤 竜希; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算シンポジウム2023, pp. 250--257
2023
21 Dec. 2023- 22 Dec. 2023

Evolutionary Multi/Many-objective Optimization and Sustainability-related Real-world Applications
Hiroyuki Sato
Invited oral presentation, English, Fifth International Conference on Computational Intelligence in Communications and Business Analytics (CICBA-2023), Invited
2023
27 Jan. 2023- 28 Jan. 2023

車列表現の一般化による多様な車列に適用可能な車両入替手順の進化的最適化
古屋 敬祐; 中理 怡恒; 長濱 章仁; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第16回進化計算シンポジウム 2022, pp. 275--282
2022
17 Dec. 2022- 18 Dec. 2022

進化的ルール学習と次元削減・生成モデルのハイブリッドモデルにおける観測空間での報酬による潜在空間を経由したルール学習手法
谷津 直弥; 白石 洋輝; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第16回進化計算シンポジウム 2022, pp. 169--176
2022
17 Dec. 2022- 18 Dec. 2022

少数個体に向けた局所解アーカイブに基づく局所解探索のための複数粒子群最適化
前川 裕介; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 第16回進化計算シンポジウム 2022, pp. 316--323
2022
17 Dec. 2022- 18 Dec. 2022

無限探索空間のマルチモーダル最適化問題に向けた粒子群最適化による動的探索範囲拡張
石澤 竜希; 空閑 智也; 前川 祐介; 佐藤 寛之; 高玉圭樹
Oral presentation, Japanese, 第16回進化計算シンポジウム 2022, pp. 153--160
2022
17 Dec. 2022- 18 Dec. 2022

進化計算による多目的在庫配置最適化における重みベクトル群の偏向配置
佐藤和磨; 三井康行; 川上紫央; 田中彰一郎; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2022, pp. 345--352
2022
17 Dec. 2022- 18 Dec. 2022

多因子CNKランドスケープ問題において類似目的関数を利用する進化計算
川上 紫央; 田中 彰一郎; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 進化計算シンポジウム2022, pp. 294--302
2022
17 Dec. 2022- 18 Dec. 2022

マルチファネル構造を持つ単一目的最適化問題の多目的化による緩和
田中彰一郎; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2022, pp. 54--62
2022
17 Dec. 2022- 18 Dec. 2022

二個体協調における自由度に基づくマルチエージェント逆強化学習
植木 駿介; 亀谷 長太; 戸板 佳祐; 中理 怡恒; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, システム・情報部門 学術講演会 2022 (SSI2022), pp. 328--333
2022
25 Nov. 2022- 27 Nov. 2022

反復的に推定モデルを更新する教師あり多目的最適化アルゴリズムに関する検討
高木智章,髙玉圭樹,佐藤寛之
Oral presentation, Japanese, システム・情報部門学術講演会 (SSI2022), 計測自動制御学会, pp. 260--265
2022
25 Nov. 2022- 27 Nov. 2022

進化計算による実世界システムの最適化
佐藤寛之
Invited oral presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会 SSI2022, Invited
2022
25 Nov. 2022- 27 Nov. 2022

大脳新皮質学習アルゴリズムにおけるシナプスの適応配置とカラムに基づくデコーダの協調
青木 健; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, システム・情報部門学術講演会2022 (SSI2022)，計測自動制御学会, pp. 177--182, Domestic conference
2022
25 Nov. 2022- 27 Nov. 2022

多目的化が最適化に与える影響に関する基礎的検討
田中 彰一郎; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, システム・情報部門学術講演会2022 (SSI2022)，計測自動制御学会, pp. 276--279, Domestic conference
2022
25 Nov. 2022- 27 Nov. 2022

多因子離散最適化問題において目的関数の類似度を計測して利用する進化計算の効果
川上 紫央; 田中 彰一郎; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, システム・情報部門学術講演会2022 (SSI2022)，計測自動制御学会, pp. 270--275, Domestic conference
2022
25 Nov. 2022- 27 Nov. 2022

大脳新皮質学習における適応的なシナプス調整と予測値デコードの効果
藤野 和志; 青木 健; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, システム・情報部門学術講演会2022 (SSI2022)，計測自動制御学会, pp. 160--165, Domestic conference
2022
25 Nov. 2022- 27 Nov. 2022

大脳新皮質学習における抑制性セルの導入と効果
後藤 祐希; 青木 健; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, システム・情報部門学術講演会2022 (SSI2022)，計測自動制御学会, pp. 166--170, Domestic conference
2022
25 Nov. 2022- 27 Nov. 2022

多数目的進化計算によるオフィスビルの制御最適化における解集合のアーカイブと再活用
奥村成; 太田恵大; 佐藤寛之
Oral presentation, Japanese, 第30回インテリジェント・システム・シンポジウム FAN2022，計測自動制御学会 システム・情報部門, pp. 300--304, Domestic conference
2022
21 Sep. 2022- 22 Sep. 2022

多目的進化計算を用いた商品在庫最適化における商品別および倉庫別交叉の有効性検証
三井 康行; 山越 悠貴; 佐藤 寛之
Oral presentation, Japanese, 人工知能学会全国大会2022, pp. 1--4, Domestic conference
2022
14 Jun. 2022- 17 Jun. 2022

多変量大脳新皮質学習アルゴリズムのための適応的シナプス調整
藤野和志; 青木健; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 第20回コンピューテーショナル・インテリジェンス研究会, 計測自動制御学会, pp. 53--60, Domestic conference
2022
03 Jun. 2022- 04 Jun. 2022

反復的局所探索を用いた経済支援施策の設計最適化
高木智章; 髙玉圭樹; 佐藤寛之
Oral presentation, Japanese, 第21回進化計算学会研究会, pp. 28--35
2022
17 Mar. 2022- 18 Mar. 2022

渋滞緩和に向けた交通流率と車列の不安定性を考慮した進化計算よる車両順最適化
古屋 敬祐; 中理 怡恒; 河野 航大; 長濱 章仁; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, 第49回知能システムシンポジウム, B6-2
2022
14 Mar. 2022- 14 Mar. 2022

覚醒とNon-REM睡眠の影響を除去した体動の出現頻度に基づく非拘束型REM睡眠推定
嘉村 魁人; 松田 尚也; 千住 太希; 中理 怡恒; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, 第49回知能システムシンポジウム, A2-4
2022
14 Mar. 2022- 14 Mar. 2022

進化型多目的最適化における重みベクトル選択に基づく解集団分割と領域別探索
河野 航大; 髙玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 進化計算学会, 第15回進化計算シンポジウム2021, pp. 305--312
2021
25 Dec. 2021- 26 Dec. 2021

β分布に基づく学習分類子システム
白石 洋輝; 速水 陽平; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第15回進化計算シンポジウム2021, pp. 218--225
2021
25 Dec. 2021- 26 Dec. 2021

VAEを用いた学習分類子システムによる高次元マルチステップ問題の汎用的ルール学習
谷津 直弥; 白石 洋輝; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第15回進化計算シンポジウム2021, pp. 196--202
2021
25 Dec. 2021- 26 Dec. 2021

複数解探索のための収束状況に応じた複数群間移動に基づく実ロボット適用に向けた粒子群最適化
前川 裕介; 河野 航大; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第15回進化計算シンポジウム 2021, pp. 64--71
2021
25 Dec. 2021- 26 Dec. 2021

遺伝的アルゴリズムの複数の実問題に対する概念実証のプログラム作成を通して 進化計算ソフトウェア開発のビジネス展開の検討
藤原博文; 高木智章; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2021, pp. 43--50, Domestic conference
2021
25 Dec. 2021- 26 Dec. 2021

デジタルツインを用いたビル設備制御設計の制約付き多数目的最適化
福原 洸平; 熊谷 涼; 川野 裕希; 太田 恵大; 佐藤 寛之
Oral presentation, Japanese, 進化計算シンポジウム2021, pp. 141--148, Domestic conference
2021
25 Dec. 2021- 26 Dec. 2021

多目的進化計算によるECにおける商品在庫配置最適化
三井 康行; 山越 悠貴; 佐藤 寛之
Oral presentation, Japanese, 進化計算シンポジウム2021, pp. 226--233, Domestic conference
2021
25 Dec. 2021- 26 Dec. 2021

単一の目的関数のランドスケープが多目的最適化に与える影響
田中彰一郎; 高玉圭樹; 佐藤 寛之
Oral presentation, Japanese, 進化計算シンポジウム2021, pp. 260--268, Domestic conference
2021
25 Dec. 2021- 26 Dec. 2021

3目的最適化結果の可視化法に関する比較検討
高木智章; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2021, pp. 336--345, Domestic conference
2021
25 Dec. 2021- 26 Dec. 2021

実数値学習分類子システムにおける最近傍ルールの汎化レベルを継承する被覆法
白石 洋輝; 速水 陽平; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, システム・情報部門 学術講演会 2021 (SSI2021), pp. 434--439
2021
21 Nov. 2021- 22 Nov. 2021

ルールの過剰汎化率を考慮したAbsumptionに基づく実数値学習分類子システム
白石 洋輝; 速水 陽平; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, 第30回インテリジェント・システム・シンポジウム (FAN 2021), pp. 143--148
2021
21 Sep. 2021- 23 Sep. 2021

グリッド型多目的進化計算における可変エリート集団に関する検討
加納謙介; 高木智章; 田中彰一郎; 髙玉圭樹; 佐藤寛之
Oral presentation, Japanese, インテリジェント・システム・シンポジウム 2021 (FAN 2021), pp. 268--273, Domestic conference
2021
21 Sep. 2021- 23 Sep. 2021

多目的意思決定を支援する有向パレートフロントの推定
高木智章; 田中彰一郎; 髙玉圭樹; 佐藤寛之
Oral presentation, Japanese, インテリジェント・システム・シンポジウム 2021 (FAN 2021), pp. 42--50, Domestic conference
2021
21 Sep. 2021- 23 Sep. 2021

吸収マルコフ連鎖に基づく局所解ネットワークに関する検討
田中彰一郎; 古谷博史; 日和悟; 廣安知之; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 第20回進化計算学会研究会, pp. 34--41, Domestic conference
2021
08 Sep. 2021- 09 Sep. 2021

推定を利用する教師あり多目的最適化アルゴリズムに関する検討
高木智章; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 第20回進化計算学会研究会, pp. 42--50, Domestic conference
2021
08 Sep. 2021- 09 Sep. 2021

目的関数の類似度を利用した多因子進化計算に関する検討
川上紫央; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 第20回進化計算学会研究会, pp. 74--81, Domestic conference
2021
08 Sep. 2021- 09 Sep. 2021

多目的進化計算によるオフィスビルの空調設定スケジュールの最適化―数理モデルからシミュレーションベース, ロバスト, サロゲート最適化への展開―
太田 恵大; 佐藤 寛之
Oral presentation, Japanese, 第17回進化計算学会研究会, pp. 194--204
2020
08 Sep. 2021- 09 Sep. 2021

多目的最適化の最前線，活用法と課題
Hiroyuki Sato
Keynote oral presentation, Japanese, 第15回 System Simulation Symposium, Invited
2021
09 Jul. 2021- 09 Jul. 2021

時系列予測に基づく行動決定のための大脳新皮質学習に関する基礎検討
藤野和志; 青木健; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 第17回コンピューテーショナル・インテリジェンス研究会，システム・情報部門，計測自動制御学会, pp. 63--67, Domestic conference
2021
25 Mar. 2021- 26 Mar. 2021

正しい意見共有に向けたユーザの投稿頻度を考慮したエージェントネットワークシステム：人とエージェントの関係から人とエージェント集団の関係への展開
山根 大輝; 前川 佳幹; 荒井 亮太郎; 福本 有季子; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 人工知能学会, HAIシンポジウム2021, G-17
2021
09 Mar. 2021- 10 Mar. 2021

睡眠段階ごとの生体振動特徴に着目したニューラルネットワークによる推定
千住 太希; 中理 怡恒; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, 第48回知能システムシンポジウム, A5-4
2021
08 Mar. 2021- 09 Mar. 2021

心拍数から推定した概日/非概日リズムの振幅比率に基づくアルツハイマー型認知症判定
松田 尚也; 荒井 亮太郎; 藁谷 由香; 中理 怡恒; 佐藤 寛之; 髙玉 圭樹; 廣瀬雅宣; 長谷川 洋; 白石 眞; 松田 隆秀
Oral presentation, Japanese, 計測自動制御学会, 第48回知能システムシンポジウム, A-51
2021
08 Mar. 2021- 09 Mar. 2021

大脳新皮質学習における多層化に関する検討
青木健; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 計測自動制御学会 第48回 知能システムシンポジウム, pp. 1--5, Domestic conference
2021
08 Mar. 2021- 09 Mar. 2021

VAEの潜在変数空間における分布ベース照合に基づく学習分類子システム
田所 優和; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, システム・情報部門 学術講演会 2020 (SSI2020), pp. 451--456
2020

次元削減ルールの復元における過剰一般化と被覆における過剰特化を回避するXCS による高次元ルールの解釈性向上
田所 優和; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第14回進化計算シンポジウム 2020, pp. 219--226
2020

学習分類子システムのルール進化に対するConditional VAE に基づく誤判定訂正
白石 洋輝; 田所 優和; 速水 陽平; 福本 有季子; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第14回進化計算シンポジウム 2020, pp. 211--218
2020

重みベクトルと混雑距離における解選択の相互補完に基づく進化計算:MOEA/D とNSGA-II の融合
河野 航大; 梶原 奨; 田所 優和; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第14回進化計算シンポジウム 2020, pp. 168--175
2020

複数局所解探索のための複数群間移動に基づく粒子群最適化：実ロボット環境に向けた個体数固定と同時移動への展開
前川 裕介; 河野 航大; 梶原 奨; 福本 有季子; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第14回進化計算シンポジウム 2020, pp. 88--95
2020

大脳新皮質学習の階層化における抑制フィードバックの検討
青木健; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会 2020, pp. 1--6, Domestic conference
2020

仮想目的ベクトル群によるパレートフロントの形状推定
高木智章; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 第18回進化計算学会研究会, pp. 46--54, Domestic conference
2020

大脳新皮質学習におけるカラムに基づく予測表現デコーダに関する検討
青木健; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会 2020, pp. 130--135, Domestic conference
2020

多変量大脳新皮質学習によるデータの連続欠損に対する予測持続に関する検討
長島晶彦; 青木健; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会 2020, pp. 124--129, Domestic conference
2020

MarioGANと進化計算による多様なステージ生成に関する検討
熊谷涼; 高木智章; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会 2020, pp. 56--61, Domestic conference
2020

目的関数空間の単位超平面を基準とするパレートフロント推定とその利用
高木智章; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2020, pp. 35--43, Domestic conference
2020

最適化問題の類似性を利用した未知の最適化問題に適した進化計算法の推薦
山本康平; 高木智章; 髙玉圭樹; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2020, pp. 249--256, Domestic conference
2020

多目的空調設定スケジュール最適化問題における局所的な多峰性に関する考察
太田恵大; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2020, pp. 145--150, Domestic conference
2020

制約許容量を導入した指向性交配による制約付き多目的最適化の一検討
宮川みなみ; 佐藤寛之; エルナンアギレ; 田中清
Oral presentation, Japanese, 進化計算シンポジウム2020, pp. 241--248, Domestic conference
2020

多目的意思決定支援のためのパレートフロントの上位集合の獲得に関する検討
高木智章; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 第17回進化計算学会研究会，進化計算学会, pp. 40--47, Domestic conference
2020

評価値軸・設計変数上の解の継続変化に対する群知能アルゴリズムのメカニズムの設計とその追従性評価
高野 諒; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 進化計算シンポジウム2019，進化計算学会, pp. 177--184, Domestic conference
2019

不確実性を伴うデータを分類するルール獲得に向けた正確性によるルール選択メカニズムの設計
辰巳嵩豊; 佐藤寛之; 高玉 圭樹
Oral presentation, Japanese, 進化計算シンポジウム2019，進化計算学会, pp. 289--296, Domestic conference
2019

局所収束回避に向けた粒子群最適化と差分進化の空間的探索戦略の切り替え
河野 航大; 梶原 奨; 小林 亮太; 高野 諒; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 進化計算シンポジウム2019，進化計算学会, pp. 381--388, Domestic conference
2019

バス路線網における運行形態の一般化による環境変化への適応
梶原 奨; 村田 暁紀; 長谷川 智; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 第46回知能システムシンポジウム, pp. 1--6, Domestic conference
2019

分解型多数目的最適化における指向確率選択と二重連鎖更新の効果
佐藤寛之; 高玉圭樹
Oral presentation, Japanese, 進化計算シンポジウム2019，進化計算学会, pp. 352--360, Domestic conference
2019

LSTMを用いた近似モデルによる空調設定スケジュールの進化型最適化
太田恵大; 笹川隆史; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2019，進化計算学会, pp. 13--20, Domestic conference
2019

非劣解サンプリングのための多目的進化計算における環境選択法の比較評価
高木智章; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2019，進化計算学会, pp. 143--151, Domestic conference
2019

格子型多数目的進化アルゴリズムにおける分解粒度の適応的決定に関する検討
加納謙介; 高木智章; 髙玉圭樹; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2019，進化計算学会, pp. 201--205, Domestic conference
2019

多目的最適化のベンチマーク問題マップとアルゴリズムマップに関する検討
山本康平; 高木智章; 髙玉圭樹; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2019，進化計算学会, pp. 264--268, Domestic conference
2019

多因子距離最小化問題における進化計算の性能比較
川上紫央; 高木智章; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2019，進化計算学会, pp. 278--283, Domestic conference
2019

競争群最適化における比較群サイズが最適化性能に与える影響
三好陵太; 高木智章; 髙玉圭樹; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2019，進化計算学会, pp. 361--365, Domestic conference
2019

自己構成型大脳新皮質学習における時間遅れシナプスの検討
鈴ヶ嶺 聡哲; 青木 健; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 計測自動制御学会 第46回 知能システムシンポジウム, pp. 1--6, Domestic conference
2019

大脳新皮質学習における適応型シナプス配置法の検討
青木 健; 鈴ヶ嶺 聡哲; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 計測自動制御学会 第46回 知能システムシンポジウム, pp. 1--6, Domestic conference
2019

多目的最適化問題の目的関数空間における解の存在域に関する分析
高木智章; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 第15回進化計算学会研究会, pp. 42--47, Domestic conference
2019

進化計算による多目的最適化における 重みベクトル群の適応配置に関する基礎検討
高木智章; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 第16回進化計算学会研究会, pp. 28--32, Domestic conference
2019

重みベクトルの部分集合選択による進化型多目的最適化に関する基礎検討
高木智章; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 電子・情報・システム部門大会, 電気学会, pp. 1060--1065, Domestic conference
2019

大脳新皮質学習における異なる時系列データの複合予測に関する基礎検討
長島晶彦; 青木 健; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 計測自動制御学会（SICE），システム・情報部門，第15回コンピューテーショナル・インテリジェンス研究会, pp. 5--12, Domestic conference
2019

解釈可能なルール獲得に向けた深層生成モデルによる次元削減に基づく学習分類子システム
田所 優和; 速水 陽平; 藤野 貴章; 辰巳 嵩豊; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第12回進化計算シンポジウム 2018, pp. 319--325
2018

動的最適化問題に向けた異種戦略の個体別適用に基づく差分進化
小林 亮太; 岩瀬 拓哉; 高野 諒; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第12回進化計算シンポジウム 2018, pp. 284--290
2018

脳新皮質学習におけるカラムとセルの動的構成に関する検討
鈴ヶ嶺 聡哲; 青木 健; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 第117回数理モデル化と問題解決(MPS)研究会報告, 情報処理学会, pp. 1--2, Domestic conference
2018

自己構成型の大脳新皮質学習アルゴリズムに関する検討
鈴ヶ嶺 聡哲; 青木 健; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 計測自動制御学会（SICE），システム・情報部門，第13回コンピューテーショナル・インテリジェンス研究会, pp. 51--58, Domestic conference
2018

多目的進化計算における重みベクトルの分布に関する基礎検討
高木智章; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 第28回インテリジェント・システム・シンポジウム, pp. 165--170, Domestic conference
2018

大脳新皮質学習におけるシナプスの動的再配置に関する検討
青木 健; 鈴ヶ嶺 聡哲; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会 2018, GS04-18, Domestic conference
2018

大脳新皮質学習におけるカラムとセルの自己構成法の動作解析
鈴ヶ嶺 聡哲; 青木 健; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会 2018, GS04-19, Domestic conference
2018

Evolutionary Many-Objective Optimization: Difficulties and Approaches
Hiroyuki Sato
Oral presentation, Japanese, 2018 JPNSEC International Workshop on Evolutionary Computation, International conference
2018

航空機着陸問題におけるクラスタリングを用いた分割反復最適化手法
村田 暁紀; 佐藤 寛之; 高玉 圭樹; Daniel Delahaye
Oral presentation, Japanese, 電気学会，第28回インテリジェント・システム・シンポジウム, pp. 167--172, Domestic conference
2018

負の報酬生成による環境変化に適応可能な逆強化学習
長谷川 智; 梅内 祐太; 上野 史; 佐藤 寛之; 山口 智浩; 高玉 圭樹
Oral presentation, Japanese, 計測自動制御学会，第45回知能システムシンポジウム, C4-2, Domestic conference
2018

帰宅困難者の滞留解消に向けた区間混雑に基づく路線間バス譲渡
高谷 美穂; 石井 晴之; 張 財立; 辰巳 嵩豊; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 計測自動制御学会，第45回知能システムシンポジウム, A5-3, Domestic conference
2018

最適化問題群マップにおける未知問題の位置推定に関する基礎検討
山本 康平; 宮川みなみ; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会 2018, SS14-13, Domestic conference
2018

分解に基づく多目的進化計算における重みベクトル群の分布制御に関する検討
高木智章; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 進化計算学会進化計算シンポジウム2018, pp. 160--167, Domestic conference
2018

多目的最適化問題群マップにおける未知問題の位置推定法の検討
山本 康平; 宮川みなみ; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 進化計算学会進化計算シンポジウム2018, pp. 360--366, Domestic conference
2018

オフィスビル空調スケジュールの進化型多目的最適化に関する検討
太田恵大; 佐藤寛之
Oral presentation, Japanese, 進化計算学会進化計算シンポジウム2018, pp. 184--191, Domestic conference
2018

覚醒と浅睡眠に着目した圧力センサに基づく非侵襲的睡眠段階推定とその精度向上
上原 知里; 松本 和馬; 田島 友祐; 小峯 嵩裕; 原田 智広; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, 第44回知能システムシンポジウム, A3-3
2017

難易度と技術偏差に基づく学習目標生成を促すインタラクティブ学習支援
福田 千賀; 村田 暁紀; 石井 晴之; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, 第44回知能システムシンポジウム, A3-2
2017

最適性と多様性のトレードオフを考慮したノベルティサーチに基づく多目的進化計算
村田 暁紀; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 情報処理学会, 第112回数理モデル化と問題解決研究発表会, pp. 1--6
2017

指向性交配を用いるMOEA/Dの制約付き多数目的最適化
宮川 みなみ; 佐藤 寛之; 佐藤 裕二
Oral presentation, Japanese, 進化計算シンポジウム2017, pp. 124--130
2017

深層学習による圧縮ルールを復元する学習分類子システムとその精度向上
松本 和馬; 高野 諒; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 第13回進化計算学会研究会, 進化計算学会, pp. 98--101
2017

環境変化に向けたPSOとCuckoo Searchに基づく解集団混合進化計算
梅内 祐太; 上野 史; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 第13回進化計算学会研究会, 進化計算学会, pp. 46--48
2017

適応的局所情報共有範囲に基づくArtificial Bee Colonyアルゴリズムによる動的多峰性関数最適化
高野 諒; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 第13回進化計算学会研究会, 進化計算学会, pp. 9--10
2017

データの曖昧性を許容する学習分類子システム: 介護データのマイニング
藤野 貴章; 辰巳 嵩豊; 張 財立; 松本 和馬; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, システム・情報部門 学術講演会 2017 (SSI2017), pp. 544--549
2017

複数解探索を考慮した分散型Bat Algorithm
岩瀬 拓哉; 高野 諒; 上野 史; 梅内 祐太; 石井 晴之; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, システム・情報部門 学術講演会 2017 (SSI2017), pp. 534--539
2017

動的環境適応に向けた粒子群最適化とカッコウ探索の協働のための情報共有方法の検討
梅内 祐太; 上野 史; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第11回進化計算シンポジウム2017, pp. 455--461
2017

Searching Multiple Local Optimal Solutions in Multimodal Function by Bat Algorithm Based on Novelty Search
Takuya Iwase; Ryo Takano; Fumito Uwano; Yuta Umenai; Hiroyuki Sato; Keiki Takadama
Oral presentation, English, 進化計算学会, 第11回進化計算シンポジウム 2017, pp. 318--322
2017

多峰性関数におけるランダムな動的環境変化に対する適応的局所情報共有範囲に基づくArtificial Bee Colony アルゴリズムの変化への追従性の検証
高野 諒; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第11回進化計算シンポジウム 2017, pp. 176--181
2017

深層学習による次元圧縮ルールの学習分類子システムにおける初期ルールとしての可能性
松本 和馬; 高野 諒; 上野 史; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第11回進化計算シンポジウム 2017, pp. 168--175
2017

不活性セルのシナプス更新による大脳新皮質アルゴリズムの予測精度向上に関する一検討
青木健; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 第44回 知能システムシンポジウム，計測自動制御学会, pp. 1--6
2017

進化計算のパラメータランキングに基づく多目的最適化問題群のマッピングに関する検討
角口 元章; 宮川 みなみ; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 第13回進化計算学会研究会, pp. 37--45, Domestic conference
2017

進化計算による複数車種の同時最適化に関する基礎的検討
佐藤 寛之; 松本 晴佳; 宮川 みなみ; 田中 麻莉子; 佐藤 未来子; 佐藤 裕二
Oral presentation, Japanese, 第13回進化計算学会研究会, pp. 89--97, Domestic conference
2017

進化計算による多目的集合パッキング最適化における実行不可能解の二段階修復法
田中麻莉子; 山岸雄樹; 永井秀稔; 佐藤寛之
Oral presentation, Japanese, 計測自動制御学会, 第60回自動制御連合講演会, SaJ1-4, Domestic conference
2017

進化計算による複数車種の同時最適化における複写オペレータの効果
佐藤 寛之; 松本 晴佳; 宮川 みなみ; 田中 麻莉子; 佐藤 未来子; 佐藤 裕二
Oral presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会 2017, pp. 480--484, Domestic conference
2017

大脳新皮質アルゴリズムの簡素化と予測精度向上に関する検討
青木 健; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会 2017, pp. 135--140, Domestic conference
2017

目的数が異なる最適化問題群マップの生成に関する検討
角口 元章; 宮川 みなみ; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 進化計算シンポジウム2017, pp. 274--282, Domestic conference
2017

多目的集合パッキング問題におけるMOEA/Dの重みベクトル群を活用した実行不可能解の修復法
田中麻莉子; 山岸雄樹; 永井秀稔; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2017, pp. 404--410, Domestic conference
2017

報酬値の分散に基づく学習分類子システムによる一般化度合の異なるルールの同時獲得
ZHANG C; 辰巳嵩豊; 中田雅也; 佐藤寛之; 高玉圭樹
Oral presentation, Japanese, 知能システムシンポジウム講演資料(CD-ROM), A4-4
2016
10 Mar. 2016- 10 Mar. 2016

Random Forests を活用したLCSによるルールの一般化
土橋 功治; 松本 和馬; 辰巳 嵩豊; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第10回進化計算シンポジウム 2016, pp. 332--339
2016

学習分類子システムにおける評価回数に基づく分類子の選択圧自動調整
辰巳 嵩豊; Kovacs Tim; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第10回進化計算シンポジウム 2016, pp. 138--145
2016

カッコウ探索に基づく複数のダイナミズムを含む動的環境への適応
梅内 祐太; 上野 史; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会, 第10回進化計算シンポジウム 2016, pp. 110--117
2016

航空機到着機スケジューリングにおける最適性と多様性のトレードオフを考慮した進化計算
村田 暁紀; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, システム・情報部門 学術講演会 2016 (SSI2016), SS02-5
2016

半教師あり学習に基づく進化的クラスタリングによる快眠音の個別適応化
星野 秀彰; 村田 暁紀; 建部 尚紀; 中田 雅也; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, 第43回知能システムシンポジウム, A4-3
2016

次元圧縮に向けた深層学習に基づく学習分類子システム
松本 和馬; 齋藤 嶺; 中田 雅也; 佐藤 寛之; Tim Kovacs; 髙玉 圭樹
Oral presentation, Japanese, 第10回進化計算学会研究会, 進化計算学会, pp. 210--219
2016

MOEA/Dにおける初期解の連鎖配置法に関する検討
佐藤寛之; 宮川みなみ; 高玉圭樹
Oral presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会 2016, pp. 495--500
2016

Evolutionary Many-objective Optimization
Hiroyuki Sato
Oral presentation, Japanese, Next Generation Transport Aircraft Workshop 2016
2016

制約付き多目的最適化のための指向性交配における交叉量操作
宮川みなみ; 佐藤裕二; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会 2016, pp. 501--506
2016

最適な進化計算パラメータの差異に基づく多目的最適化問題群のマッピングに関する検討
角口元章; 宮川みなみ; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2016, pp. 498--504
2016

制約付き多目的最適化における指向性交配のための実数値変数交叉法の一検討
宮川みなみ; 佐藤裕二; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2016, pp. 324--331
2016

多目的母材設計における実行不可能解の修復に関する一検討
田中麻莉子; 山岸雄樹; 永井秀稔; 佐藤寛之
Oral presentation, Japanese, 進化計算シンポジウム2016, pp. 146--151
2016

MOEA/Dにおける解と重みベクトルの親和性に基づく探索量制御に関する一検討
佐藤寛之; 宮川みなみ; 高玉圭樹
Oral presentation, Japanese, 進化計算シンポジウム2016, pp. 518--525
2016

平行座標ユーザインターフェースを用いた多数目的選好解集合探索に関する一検討
佐藤 寛之; 冨田 浩平; 宮川 みなみ
Oral presentation, Japanese, 第8回進化計算学会研究会, pp. 100--106
2015

報酬分散の収束に依らない分散に基づく学習分類子システム
辰巳 嵩豊; 小峯 嵩裕; 中田 雅也; Tim Kovacs; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会 進化計算シンポジウム2015, pp. 262--269
2015

多峰性関数における局所探索に基づくCuckoo Search Algorithm
梅内 祐太; 上野 史; 中田 雅也; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 進化計算学会 進化計算シンポジウム2015
2015

MOEA/D における解の連鎖更新法に関する一検討
佐藤 寛之
Oral presentation, Japanese, 進化計算学会 進化計算シンポジウム2015, pp. 233--240
2015

多次元ノイズを含む多目的最適化におけるスカラー化関数に基づくロバスト解探索
橋本 知尚; 宮川 みなみ; 髙玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 進化計算学会 進化計算シンポジウム2015, pp. 241--247
2015

強化学習環境の規模拡大に対する知識の特殊化による再利用
臼居 浩太郎; 中田 雅也; Tim Kovacs; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, システム・情報部門 学術講演会 2015 (SSI2015), pp. 861--865
2015

進化計算による多数目的最適化
佐藤寛之
Oral presentation, Japanese, 第8回進化計算学会研究会
2015

階層型進化計算を用いた動的航空機着陸経路スケジューリング
村田 暁紀; 森本 紗矢香; 神馬 隆博; 原田 智広; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 計測自動制御学会，第42回知能システムシンポジウム, F-12
2015

屋外広告の多目的最適化に関する研究
土斐崎 龍一; 佐藤 寛之; 坂本 真樹
Oral presentation, Japanese, 第14回情報科学技術フォーラム, pp. 361--362
2015

制約付き多目的最適化のための指向性交配における解の選出領域の適応制御に関する一検討
宮川 みなみ; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 進化計算シンポジウム 2015, pp. 255--261
2015

補助重みベクトル群による多数目的最適化の促進に関する一検討
中川 智; 宮川 みなみ; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 進化計算シンポジウム 2015, pp. 226--232
2015

ノイズを含む多目的最適化問題におけるマルチレベルのロバスト解探索に関する一検討
橋本知尚; 佐藤寛之
Oral presentation, Japanese, 第6回進化計算学会研究会, pp. 156--161
2014

3段式ハイブリッドロケットの概念設計最適化における実行不可能解の有効活用に関する一検討
宮川みなみ; 佐藤寛之; 金森文男; 金崎 雅博
Oral presentation, Japanese, 日本機械学会 第27回計算力学講演会, pp. 217--218
2014

分割に基づく進化型多目的最適化における効果的な並列評価法に関する検討
佐藤寛之
Oral presentation, Japanese, 日本機械学会 第27回計算力学講演会, pp. 215-216
2014

制約付き多数目的最適化のためのリファレンスラインを用いた指向性交配の検討
宮川みなみ; 高玉圭樹; 佐藤寛之
Oral presentation, Japanese, 進化計算学会 進化計算シンポジウム2014, pp. 363--370
2014

ノイズを有する多目的最適化問題におけるマルチレベルのロバスト選好解探索法の検討
橋本知尚; 宮川みなみ; 佐藤寛之
Oral presentation, Japanese, 進化計算学会 進化計算シンポジウム2014, pp. 26--33
2014

動的環境における局所的情報共有による分散型 ABC アルゴリズム
高野 諒; 市川 嘉裕; 服部 聖彦; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 進化計算学会，第6回進化計算学会研究会, pp. 162--168
2014

動的環境おける頑健な確率モデルの学習：ナップサック問題から実問題まで
田島 友祐; 中田 雅也; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 進化計算学会，第6回進化計算学会研究会, pp. 53--59
2014

定期便と不定期便の同時獲得型多目的路線網最適化
神馬 隆博; 佐藤 圭二; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 第6回進化計算学会研究会, pp. 1--13
2014

時系列行動を評価するパターンマイニングによる外出プラン推薦システム
藤塚 拓馬; 原田 智広; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 計測自動制御学会，システム・情報部門 学術講演会 2014 (SSI2014), pp. 802--807
2014

時変環境における局所的情報共有によるArtificial Bee Colonyアルゴリズム
高野 諒; 原田 智広; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 情報処理学会，第102回数理モデル化と問題解決研究発表会
2014

不安定報酬環境下における学習分類子システム
辰巳 嵩豊; 小峯 嵩裕; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 第8回進化計算シンポジウム 2014, pp. 99--106
2014

超高密度環境下での複数エージェント協調によるデッドロック回避
大谷 雅之; 佐藤 寛之; 服部 聖彦; 高玉 圭樹
Oral presentation, Japanese, 計測自動制御学会,第40回知能システムシンポジウム, pp. 21--24
2013

多目的空間のピボット型一般化による解析
佐藤 圭二; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 計測自動制御学会，システム・情報部門，第6回関係論的システム科学調査研究会
2013

評価値変動に対応した進化型アルゴリズム
田島 友祐; 中田 雅也; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 計測自動制御学会，システム・情報部門，第6回関係論的システム科学調査研究会
2013

MOEA/Dにおける理想点の高精度化のための探索方向ベクトルの分布制御に関する基礎検討
佐藤寛之
Oral presentation, Japanese, 第五回進化計算学会研究会, pp. 62--67
2013

複数制約付き多目的解探索を促進する実行不可能解のアーカイブに関する基礎検討
宮川みなみ; 佐藤寛之
Oral presentation, Japanese, 第五回進化計算学会研究会, pp. 88--93
2013

分解に基づく進化型多目的最適化法の効果的な並列化に関する検討
佐藤寛之; 佐藤圭二; 宮川みなみ; Elizabeth Perez-Cortes; 高玉圭樹
Oral presentation, Japanese, 計測自動制御学会 システム・情報部門 学術講演会 2013, pp. 599--603
2013

Weighted Sum 関数を用いる MOEA/D における解の更新範囲の適応的な決定法に関する検討
佐藤 寛之
Oral presentation, Japanese, 進化計算学会 進化計算シンポジウム2013, pp. 29--36
2013

指向性交配における有用な実行不可能解の選出領域制御に関する検討
宮川みなみ; 高玉圭樹; 佐藤 寛之
Oral presentation, Japanese, 進化計算学会 進化計算シンポジウム2013, pp. 22--28
2013

可変ピボット型一般化による多様性向上と高速化
佐藤 圭二; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 情報処理学会，第95回数理モデル化と問題解決研究発表会, pp. 1--6
2013

ピボット型一般化による隅田川河川のロバストな舟運路線網構築
佐藤 圭二; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 計測自動制御学会，システム・情報部門 学術講演会 2013 (SSI2013), pp. 215--220
2013

ピボット型一般化に基づく交叉による一般化能力と解探索性能の向上
佐藤 圭二; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 第7回進化計算シンポジウム 2013，進化計算学会, pp. 269--274
2013

災害時における道路寸断に対するバス路線網修正と最適化
北川 広登; 佐藤 圭二; 佐藤 寛之; 服部 聖彦; 高玉 圭樹
Oral presentation, Japanese, 進化計算学会 進化計算シンポジウム2013, pp. 156--161
2013

ナップサック問題における評価値変動に対応した遺伝的アルゴリズムの提案
田島 友祐; 中田 雅也; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 第8回進化計算学会研究会, pp. 1--5
2013

異文化体験ゲームにおける集団適応エージェントモデルとインタラクション設計
牛田 裕也; 大谷 雅之; 市川 嘉裕; 佐藤 圭二; 服部 聖彦; 佐藤 寛之; 髙玉 圭樹
Oral presentation, Japanese, 計測自動制御学会, 第39回知能システムシンポジウム, pp. 7--12
2012

Towards a Distributed Evolutionary P2P Networking Using a Gene Transfer Operation
Elizabeth Pérez-Cortés; Hiroyuki Sato
Oral presentation, English, Evolutionary Computation Symposium 2012 of the Japanese Society for Evolutionary Computation, pp. 359--365
2012

環境変化に適応するためのスワップ型一般化
佐藤 圭二; 髙玉 圭樹; 大谷 雅之; 松島 裕康; 市川 嘉裕; 原田 智広; 中田 雅也; 佐藤 寛之; 服部 聖彦
Oral presentation, Japanese, 計測自動制御学会, システム・情報部門 学術講演会 2012 (SSI2012), pp. 335--338
2012

環境変化に適応するためのピボット型一般化
佐藤 圭二; 髙玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 第6回進化計算シンポジウム 2012, 進化計算学会, pp. 161--166
2012

正確性に基づく学習分類子システムにおける最大個体数の自動調整
松本 隆; 中田 雅也; 佐藤 史盟; 佐藤 圭二; 佐藤 寛之; 服部 聖彦; 高玉 圭樹
Oral presentation, Japanese, 計測自動制御学会,第39回知能システムシンポジウム, pp. 121--126
2012

内部欲求と外部状況の差に基づく目的生成アーキテクチャの設計
金丸 彩乃; 佐藤 圭二; 服部 聖彦; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 計測自動制御学会,第39回知能システムシンポジウム, pp. 45--50
2012

Evolutionary P2P Networking Enhancing Path-Diversity
Elizabeth Pérez-Cortés; Sho Kawaguchi; Hiroyuki Sato
Oral presentation, English, Proc. 2012 Conv. Record of the Shin-etsu Chapter of IEICE, IEEE Session, pp. 165--165
2012

進化型多数目的最適化における解の支配領域の適応的制御
冨田 浩平; 佐藤 寛之
Oral presentation, Japanese, 電子情報学会,平成24年度電子情報通信学会信越支部大会, pp. 129--129
2012

進化型多数目的最適化における交叉遺伝子量の動的制御に関する検討
佐藤 寛之; カルロス・コエロ; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 電子情報学会,平成24年度電子情報通信学会信越支部大会, pp. 128--128
2012

レーシングカーの多目的最適設計のための並列型MOEA/D
今嶋 みのり; 佐藤 寛之
Oral presentation, Japanese, 進化計算学会,進化計算シンポジウム2012, pp. 6--13
2012

MOEAにおける解の支配領域の適応的制御法とパレート形状に対する頑健性
冨田 浩平; 宮川 みなみ; 佐藤 寛之
Oral presentation, Japanese, 進化計算学会,進化計算シンポジウム2012, pp. 416--423
2012

集約関数の探索履歴を用いた交叉法による進化型多数目的最適化
堀野 将晴; 佐藤 寛之
Oral presentation, Japanese, 進化計算学会,進化計算シンポジウム2012, pp. 424--430
2012

複数制約付き多目的最適化における指向性交配のペア選択に関する検討
宮川 みなみ; 佐藤 寛之
Oral presentation, Japanese, 進化計算学会,進化計算シンポジウム2012, pp. 431--438
2012

学習分類子システムにおける最適行動獲得のための個体選択法
中田 雅也; Pier Luca Lanzi; 松島 裕康; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 進化計算学会,進化計算シンポジウム2012, pp. 304--311
2012

m目的kナップザック問題における実行不可能解の修復法の検討
宮川 みなみ; 佐藤 寛之; 服部 聖彦; 髙玉 圭樹
Oral presentation, Japanese, 電子情報通信学会総合大会, pp. 73--73
2011

Effects of Controlling the Number of Crossed Genes in S-CDAS Solving Many-Objective Optimization Problems
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Oral presentation, English, 2011 Conv. Record of the Shin-etsu Chapter of IEICE, IEEE Session, pp. 185--185
2011

集約関数を用いる多目的EAの性能向上に関する一検討
堀野 将晴; 佐藤 寛之; 服部 聖彦; 高玉 圭樹
Oral presentation, Japanese, 電子情報通信学会総合大会,2011年度電子情報通信学会総合大会, pp. 123--123
2011

交叉する遺伝子量の制御法と突然変異の進化型多数目的最適化における解探索効果
佐藤 寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 平成23年度電子情報通信学会信越支部大会,2011年度電子情報通信学会総合大会, pp. 220--220
2011

進化による多数目的最適化における交叉する遺伝子量の適応的制御に関する一検討
佐藤 寛之; カルロス・コエロ; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 平成23年度電子情報通信学会信越支部大会, pp. 162--162
2011

共通評価数に基づく重み最適化による映画推薦システムの精度向上に関する検討
坪井 利純; 佐藤 寛之; 兼子 正勝
Oral presentation, Japanese, 平成23年度電子情報通信学会信越支部大会, pp. 158--158
2011

解の支配領域制御法を用いたMOEAによる制約付き多目的最適化問題の解法に関する一検討
宮川 みなみ; 佐藤 寛之; 服部 聖彦; 高玉 圭樹
Oral presentation, Japanese, 平成23年度電子情報通信学会信越支部大会, pp. 154--154
2011

ニュースサイト挿入型広告の相反する3目的に着目した最適デザイン
村松 憲征; 佐藤 寛之; 高玉 圭樹; 坂本 真樹
Oral presentation, Japanese, 日本認知科学会,第28回大会, pp. 428--434
2011

不確定環境下におけるマルチエージェント意志決定と協調行動
大谷 雅之; 崔 暁巍; 服部 聖彦; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 人工知能学会,JAWS2011 (Joint Agent Workshops and Symposium)
2011

多目的設計問題におけるパレート解理解支援システム
沢田石 祐弥; 牛田 裕也; 大谷 雅之; 服部 聖彦; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 人工知能学会,JAWS2011 (Joint Agent Workshops and Symposium)
2011

別カテゴリ商品提示による好みの明確化を促す推薦システムの設計と評価
佐藤 史盟; 大谷 雅之; 服部 聖彦; 佐藤 寛之; 高玉 圭樹; 山口 智浩
Oral presentation, Japanese, 計測自動制御学会,システム・情報部門 学術講演会 2011 (SSI2011), pp. 501--506
2011

Tierra型オンボードコンピュータにおけるマルチビットアップセットへの耐性
原田 智広; 大谷 雅之; 市川 嘉裕; 服部 聖彦; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 日本航空宇宙学会,第55回宇宙科学技術連合講演会, 1A01(JSASS-2011-4016)
2011

進化型多数目的最適化における交叉する遺伝子量の適応的制御に関する検討
佐藤 寛之; カルロス・コエロ; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 進化計算研究会,進化計算シンポジウム2011, pp. 36--43
2011

A Many-Objective Evolutionary Algorithm Self-Controlling Dominance Area of Solutions
Hiroyuki Sato; Hernán Aguirre; Kiyoshi Tanaka
Oral presentation, English, 2010 Conv. Record of the Shinetsu Chapter of IEICE, IEEE Session, pp. 201--201
2010

解の支配領域を自己制御可能なCDAS法に関する一検討
佐藤 寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 人工知能学会,第４回進化計算フロンティア研究会, pp. 125--132
2010

部分支配を用いるMOEAにおけるアーカイブ戦略と効果
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 電子情報通信学会,平成22年度電子情報通信学会信越支部大会, pp. 125--125
2010

MOEAによる多数目的最適化における遺伝子情報の解析と操作に関する検討
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 電子情報通信学会,平成22年度電子情報通信学会信越支部大会, pp. 126--126
2010

映画推薦システムにおけるGAを用いたユーザグループ最適化に関する一検討
坪井 利純; 佐藤寛之; 兼子 正勝
Oral presentation, Japanese, 電子情報通信学会,平成22年度電子情報通信学会信越支部大会, pp. 124--124
2010

多数目的最適化における変数空間の解析と遺伝的操作の検討
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 進化計算研究会 進化計算シンポジウム2010,平成22年度電子情報通信学会信越支部大会, pp. 94--101
2010

セレンディピティに基づく推薦システム
佐藤 史盟; 大瀧 篤; 服部 聖彦; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 人工知能学会,第24回全国大会, 3C3-3
2010

相反する目的を満たすニュースサイト広告のレイアウト最適化
村岡 和彦; 坂本 真樹; 高玉 圭樹; 佐藤 寛之
Oral presentation, Japanese, 計測自動制御学会,第37回知能システムシンポジウム, pp. 269--274
2010

個別化による学習分類子システムのマルチステップへの展開
中田 雅也; 市川 嘉裕; 松島 裕康; 佐藤 圭二; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 進化計算学会,進化計算シンポジウム 2010, pp. 295--302
2010

部分支配を用いる多目的進化型アルゴリズムの検討（その２）－多数目的最適化問題における効果の検証－
佐藤 寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 平成21年度電子情報通信学会信越支部大会, pp. 148--148
2009

部分支配を用いる多目的進化型アルゴリズムの検討（その１）－部分支配によるフロント分布の推移の調査－
佐藤 寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 平成21年度電子情報通信学会信越支部大会, pp. 147--147
2009

多目的進化型アルゴリズムにおける支配の拡張と効果
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 人工知能学会,第1回進化計算フロンティア研究会, pp. 32--33
2009

パレート部分支配を用いるMOEAの多数目的最適化における効果の検討
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 進化計算研究会,進化計算シンポジウム2009, pp. 31--38
2009

ハイパーボリュームの計算コスト削減に関する一検討
古渡 直哉; 佐藤 寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 進化計算研究会,進化計算シンポジウム2009, pp. 219--224
2009

進化型アルゴリズムによる指向性多目的最適化：IBEAの拡張
島田 智大; 松島 裕康; 佐藤 寛之; 服部 聖彦; 高玉 圭樹
Oral presentation, Japanese, 進化計算研究会,進化計算シンポジウム2009, pp. 131--138
2009

Tierra型非同期GA：プログラム進化と維持
原田 智広; 大谷 雅之; 松島 裕康; 服部 聖彦; 佐藤 寛之; 高玉 圭樹
Oral presentation, Japanese, 進化計算研究会,進化計算シンポジウム2009, pp. 139--146
2009

支配を用いるMOEAの探索性能改善の一検討
土田今日子; 佐藤 寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 電子情報通信学会,平成20年度電子情報通信学会信越支部大会, p. 2
2008

支配を用いるMOEAの進化過程における機能変化
土田今日子; 佐藤 寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 電子情報通信学会,平成20年度電子情報通信学会信越支部大会, p. 1
2008

CDAS法を組み込んだNSGA-IIとSPEA2の比較検討
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 電子情報通信学会,平成20年度電子情報通信学会信越支部大会, p. 3
2008

Hypervolumeを用いた2つのMOEAの相対的評価法
土田 今日子; 佐藤 寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 進化計算研究会,進化計算シンポジウム2008
2008

CDAS法を適用したNSGA-IIとSPEA2の多数目的最適化における性能比較
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 進化計算研究会,進化計算シンポジウム2008
2008

多目的進化型アルゴリズムを用いた多数目的最適化における支配の強弱制御の効果
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 日本知能情報ファジィ学会,第17回インテリジェント・システム・シンポジウム(FAN2007), pp. 315--320
2007

多目的進化型アルゴリズムにおける支配の動的制御の基礎検討
土田今日子; 佐藤 寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 電子情報通信学会,平成19年度電子情報通信学会信越支部大会, pp. 66--66
2007

MOEAによる多数目的最適化における支配の強弱制御の効果
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 電子情報通信学会,平成19年度電子情報通信学会信越支部大会, pp. 205--205
2007

進化型アルゴリズムによる多目的最適化法とその動向
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 計測自動制御学会,計測自動制御学会 中部支部シンポジウム2007, pp. 29--32
2007

MOEAにおける支配の強弱が与える影響(その１)－グローバル支配の場合の検討－
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 電子情報通信学会,平成18年度電子情報通信学会信越支部大会, pp. 132--132
2006

MOEAにおける支配の強弱が与える影響(その２)－ローカル支配の場合の検討－
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 電子情報通信学会,平成18年度電子情報通信学会信越支部大会, pp. 133--133
2006

多目的EAにおける局所支配および局所交叉に関する検討
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 電子情報通信学会,平成17年度電子情報通信学会信越支部大会, pp. 225--226
2005

局所支配を用いた多目的EAの性能向上に関する検討
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 電子情報通信学会,平成16年度電子情報通信学会信越支部大会, pp. 391--392
2004

GAによる多目的最適化に関する一検討
佐藤寛之; エルナン・アギレ; 田中 清
Oral presentation, Japanese, 電子情報通信学会,平成15年度電子情報通信学会信越支部大会, pp. 265--266
2003

Introduction to Info-Powered Energy
Apr. 2024 - Present
Tokyo University of Foreign Studies

Graduate Technical English
The University of Electro-Communications

Advanced Experiments A
The University of Electro-Communications

Engineering Seminer for Human Communication
The University of Electro-Communications

Advanced Evolutionary Computation
The University of Electro-Communications

Exercise in Informatics II
The University of Electro-Communications

Engineering Laboratory
The University of Electro-Communications

現代の情報技術
Hoshi University

Intermediate Industrial Administration
Tokyo University of Science

Media Science and Engineering Laboratory
The University of Electro-Communications

Fundamentals of Computer Programming Exercises
The University of Electro-Communications

Innovative Comprehensive Communications Design 2
The University of Electro-Communications

Innovative Comprehensive Communications Design 1
The University of Electro-Communications

Academic Literacy
The University of Electro-Communications

Topics in Informatics Ⅰ (Evolutionary Computation)
The University of Electro-Communications

Jul. 2025 - Present
The Society of Instrument and Control Engineers (SICE)

May 2023 - Present
継続学習と知能の創発研究会

Apr. 2011 - Present
IEEE (Institute of Electrical and Electronics Engineers)

Apr. 2011 - Present
ACM (Association for Computing Machinery)

May 2010 - Present
The Japanese Society for Evolutionary Computation

Apr. 2009 - Present
Information Processing Society of Japan

Apr. 2010 - Mar. 2024
The Japanese Society for Artificial Intelligence

進化計算によるサステナブル転移最適化論の構築
Hiroyuki Sato
日本学術振興会, 科学研究費助成事業, 電気通信大学, 基盤研究(B), Principal investigator, with international co-author(s), 25K03193
Apr. 2025 - Mar. 2028

解集合アグリゲーションによる多目的進化計算
佐藤 寛之; 高玉 圭樹
日本学術振興会, 科学研究費助成事業, 電気通信大学, 基盤研究(B), 当初計画のとおり，[研究項目C]パレートセット推定と，[研究項目D]集約モデルベース進化計算に取り組んだ．パレートセット推定では，少数の既知の非劣解集合から，変数空間におけるパレートセットを推定する．具体的には，目的関数空間における既知の非劣解の方向に対応する変数値を応答曲面法に基づいて学習し，目的関数空間における任意の方向に対して，変数空間における非劣解の変数値を推定する．これにより，少数の非劣解集合から，良好な目的関数値を示す非劣解の変数空間における位置を推定して表現する．また，集約モデルベース進化計算では，推定モデルを利用して良い解を効率的に生成したり，推定モデルそのものを改善したりする．具体的には，目的関数空間におけるパレートフロントの推定精度の信頼性が低い領域について，対応する変数値を実際に評価する．評価した解によって既知の非劣解集合を更新し，推定モデルを洗練させる．推定モデルの精度によって，既知の非劣解集合を更新しにくい場合のために，進化計算によるランダム性を伴う解生成を並行して実行する仕組みも組み込んだ．テスト問題において，提案する集約モデルベース進化計算が，ランダム性を含む進化計算のみによる解の生成法より，効率的に良い解を生成できることを明らかにした．また，推定モデルそのものを改善するためには，パレートフロントの推定精度の信頼性が低い領域の解を生成することだけでなく，進化計算によるランダム性を伴う解生成を並行して実行することが重要であることを明らかにした．, 23K24916
01 Apr. 2022 - 31 Mar. 2025

Multi-objective Evolutionary Computation Using Solution Set Aggregation
Hiroyuki Sato; Keiki Takadama
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, The University of Electro-Communications, Grant-in-Aid for Scientific Research (B), まず，当初計画の[研究項目A]として，目的空間における解集合アグリゲーションによって，推定パレートフロントを得る方法を構築した．具体的には，限られた既知の良好な解集合の目的関数値ベクトルをもとに，目的関数空間の各方向におけるパレートフロントの位置を，クリギング法や放射状基底関数ネットワークを用いて推定する．凸型，凹型，分離型のパレートフロントを有するテスト最適化問題において，提案法が，パレートフロントを良好に推定できることを明らかにした．また，提案法は，目的関数空間において，パレートフロントが存在しない方向についても，最良の目的関数値を示せることを明らかにした．これは，パレートフロントが存在しない目的空間の領域の目的関数値を意思決定者に説明する手段として有益であると考えられる．
つぎに，当初計画の[研究項目B]より先行して，[研究項目C]変数空間における解集合アグリゲーションによって，推定パレートセットを得る方法を構築した．これは，[研究項目A]の検討の過程で，[研究項目A]と共通の仕組みを用いて[研究項目C]を実現できることがわかってきたためである．具体的には，限られた既知の良好な解集合の変数値ベクトルをもとに，目的関数空間の各方向に対応する変数空間における位置をクリギング法や放射状基底関数ネットワークを用いて推定する．テスト問題において，提案法は，ランダム性を含む進化計算による解の生成法より，目的関数値の良好な解を獲得できることを明らかにした．また，実問題においても，効果があることを明らかにした．, 22H03660
Apr. 2022 - Mar. 2025

Detecting, predicting, and deterring fake news using information-sharing models
Hiroshi Yoshiura; Hiroyuki Sato
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Kyoto Tachibana University, Grant-in-Aid for Scientific Research (C), 本研究の期間は2021～2023年度であり、フェイクニュース対策の技術的な手法を追求している。フェイクニュースの拡散予測、フェイクニュースの検知精度の向上、フェイクニュースを信じるユーザの説得と社会の分断の緩和を取り上げている。2021年度には、フェイクニュースの拡散モデルの構築および、モデルを用いた拡散予測と検知を検討した。 当該年度（2022年度）には、ツイッター上のニュースから実データを収集して評価データを作成し、検知システムの精度および処理効率を向上した。評価データは、フェイクニュースとリアルニュース各10件から成り、各ニュースの発信者および転送者、各ユーザによる各ニュースの発信／転送時刻、ユーザ間のフォローフォロワー関係、ユーザがサンプルニュース以外に発信／転送した全てのつぶやきとその時刻から構成される。検知精度の向上については、フォローフォロワー関係のない孤立ユーザが検知精度の低下原因になることを見出し、フォローフォロワー関係のあるユーザのみから検知することで解決した。また、検知プログラムにおけるユーザIDの管理方法を改善することで処理時間を1/5に短縮し、大規模評価の見通しを得た。検知プログラムを評価データに適用し、フェイクニュースおよびリアルニュースに関わったユーザのニュースに対する信頼度およびユーザ間の信頼度を定量的に推定した。さらに、フェイクニュースは文章だけでなく、画像を用いる場合が多いので、投稿画像からのフェイクニュース検知の基礎検討を行った。, 21K11883
Apr. 2021 - Mar. 2024

Simultaneous Problem Set Optimization Using Evolutionary Computation
Sato Hiroyuki
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, The University of Electro-Communications, Grant-in-Aid for Scientific Research (C), We studied evolutionary computation methodology to optimize multiple objective functions simultaneously. For continuous problems with real value design variables and discrete problems with discrete design variables, binary 0/1 especially, we respectively proposed test optimization problems that could specify similarities among objective functions. For these problems, we proposed evolutionary optimization algorithms that estimate similarities among objective functions by solution distributions in the variable space and utilize them to enhance or suppress the cooperative search in crossover generating new solutions by recombining two existing solutions. Results showed that the proposed algorithms could estimate similarities among multiple objective functions and utilized them to improve the simultaneous optimization of multiple objective functions compared to conventional evolutionary algorithms., 19K12135
01 Apr. 2019 - 31 Mar. 2023

Search Algorithm Mapping of Evolutionary Multi-objective Optimization and Its Utilization on Unknown Problems
Sato Hiroyuki
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, The University of Electro-Communications, Grant-in-Aid for Young Scientists (B), Principal investigator, For multiple optimization problems with different characteristics, this research developed a mapping method of these optimization problems into a two-dimensional space to visually represent relationship strengths among these optimization problems. Also, this research developed a mapping method of optimization algorithms based on evolutionary computation into a two-dimensional space to visually represent relationship strengths among these optimization algorithms. Furthermore, based on these maps and their dada, this research developed an estimation method of the position of an unknown optimization problem on the optimization problem map generated by known optimization problems., 17K12750
01 Apr. 2017 - 31 Mar. 2020

Multi-level robust solution search for evolutionary multi-objective design optimization
Sato Hiroyuki
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, The University of Electro-Communications, Grant-in-Aid for Young Scientists (B), In engineering design optimization, robust solutions (designs) with a small influence of noises are often employed even if their evaluation values are slightly worse than other candidate solutions. For noisy multi-objective optimization problems, this work designed an evolutionary optimization framework which the decision maker can consider not only evaluation values of each solution but its noise levels to select the final solution from the obtained solution set. First, this work proposed a method to approximate the optimal trade-off among multiple objectives and their noise levels. Next, since the number of noises should be minimized is increased with increasing the number of objectives, this work also proposed evolutionary many-objective optimization techniques. Furthermore, a decision making support user interface to effectively show high-dimensional vectors involving multiple objective values and their noises was proposed., 26730129
01 Apr. 2014 - 31 Mar. 2016

研究助成: 進化計算による大規模な工学設計最適化に関する研究
Hiroyuki Sato
大川情報通信基金, Principal investigator
2014 - 2014

Development of effective evolutionary algorithms for many-objective optimization
SATO Hiroyuki
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, The University of Electro-Communications, Grant-in-Aid for Research Activity Start-up, To develop effective multi-objective evolutionary algorithms (MOEAs) for many-objective optimization problems which optimize more than four objective functions simultaneously, in this work we have developed a novel MOEA partially applying Pareto dominance and a method to self-control the dominance area of solutions. Also, to encourage the solutions search in many-objectives problems, we have developed a method of crossover controlling the number of crossed genes. The result of performance verification using benchmark problems revealed that proposed methods significantly improve the search performance of MOEA on many-objective optimization problems., 21800021
2009 - 2010

EQUIPMENT CONTROL DEVICE, EQUIPMENT CONTROL METHOD, AND COMPUTER READABLE MEDIUM
Patent right, Yoshihiro Ohta, Masanori Hashimoto, Jin Kawasaki, Shinichiro Otani, Risa Murakami, Yosuke Kaneko, Hiroyuki Sato, Kohei Fukuhara, Ryo Kumagai, 18/439924, United States Patent Application, 20240183556, Kind Code:A1, Date announced: 06 Jun. 2024

設備制御装置、設備制御方法および設備制御プログラム
Patent right, 太田 恵大, 橋本 昌典, 川崎 仁, 大谷 晋一郎, 村上 莉沙, 金子 洋介, 佐藤 寛之, 福原 洸平, 熊谷 涼, JP2021033246, Date applied: 10 Sep. 2021, 三菱電機株式会社, 国立大学法人電気通信大学, 特許第7408019号, Date registered: 21 Dec. 2023

情報処理装置、情報処理方法、プログラム
Patent right, 三井 康行, 佐藤 寛之, 山越 悠貴, 特願2022-078124, Date applied: 11 May 2022, アスクル株式会社, 特開2023-167161, Date announced: 24 Nov. 2023

進化計算の最新動向を知る 段ボール生産計画に進化計算を適用 さらに応用先を広げ生産工程DXを推進
Other than myself, IT media inc., MONOist, https://monoist.itmedia.co.jp/mn/articles/2503/10/news016.html, Internet
10 Mar. 2025

電通大と東芝デジタルエンジニアリングがAIで段ボール生産DX化 熟練者の生産計画と比較・検証
Other than myself, DEMPA PUBLICATIONS,INC., DEMPA PUBLICATIONS, https://dempa-digital.com/article/618329, Internet
24 Dec. 2024

電通大、段ボールの生産工程を進化計算AIでDX化
Other than myself, HACOBELL INC., Logistics Today, https://www.logi-today.com/702227, Internet
19 Dec. 2024

電通大と東芝デジタルエンジニアリング、段ボールの生産工程に進化計算AIを適用しコストと落穂を最小化
Other than myself, R.GENE, Inc., IoTNEWS, https://iotnews.jp/smart-logistics/259454/, Internet
19 Dec. 2024

電通大と東芝デジタルエンジニアリング、AI分野の「進化計算」を段ボールの生産計画の最適化に適用し生産工程をDX化
Other than myself, 日本経済新聞, https://www.nikkei.com/article/DGXZRSP684028_Y4A211C2000000/, Paper
18 Dec. 2024

現実世界は最適化問題であふれている、SDGs時代にみる「進化計算」の可能性
IT media MONOist, Others, https://monoist.itmedia.co.jp/mn/articles/2210/27/news012.html
Oct. 2022

アスクル、EC事業における“個口別れ”の解消に「進化計算」を適用
インプレス デジタルクロス, Others, https://dcross.impress.co.jp/docs/usecase/003208.html
Jun. 2022

アスクルの物流センター「在庫配置最適化」に見るAI活用術 進化計算をコア技術に数100時間の処理を数時間に短縮 ＝アスクル、電気通信大学、タイムインターメディアが協業で実証実験を展開＝
日本文書情報マネジメント協会機関誌IM(Journal of Image &Information Management, JIIMA), Others
Apr. 2022

ZEB (net Zero Energy Building)実現を，舞台裏で支えた技術を探る。
日経トレンディ2022年3月号, Others, https://www.mitsubishielectric.co.jp/corporate/special/hello-ai/pdf/202203_maisart_nikkei.pdf
Feb. 2022

アスクル・電通大・タイムインターメディア、AIによる物流センター在庫配置最適化に向け協働で実証実験を開始
日本経済新聞, Paper, https://www.nikkei.com/article/DGXLRSP622824_R01C21A2000000/
Dec. 2021

Special Session on Make It Easy! Evolutionary Computation with Additional Objective Functions
Academic society etc, Planning etc, Shoichiro Tanaka, Keiki Takadama, Hiroyuki Sato, 30 Jun. 2024 - 05 Jul. 2024, 2024 IEEE World Congress on Computational Intelligence (IEEE WCCI 2024)

Special Session on Evolutionary Computation and Swarm Intelligence for Dynamical Environments and Multitasking Problems: Let Two Different Approaches Meet
Academic society etc, Planning etc, Keiki Takadama, Shio Kawakami, Hiroyuki Sato, 30 Jun. 2024 - 05 Jul. 2024, 2024 IEEE World Congress on Computational Intelligence (IEEE WCCI 2024)

Workshop on Computational Intelligence Applications
Academic society etc, Planning etc, Hiroyuki Sato, Akira Oyama, Ohta Yoshihiro, Takehisa Kohira, Takakuni Minewaki, Masaya Nakata, 30 Jun. 2024 - 05 Jul. 2024, IEEE World Congress on Computational Intelligence (IEEE WCCI 2024)

企画セッション 進化計算の新展開
Academic society etc, Planning etc, 高木智章, 田中彰一郎, 二村成彦, 川上紫央, 大山聖, 佐藤寛之, 25 Nov. 2022 - 27 Nov. 2022, 計測自動制御学会 システム・情報部門 学術講演会 SSI2022

パネルセッション 進化計算による実世界システムの最適化
Academic society etc, Planning etc, 佐藤 寛之,玉置 久,藤井 信忠,村田 忠彦, 25 Nov. 2022 - 27 Nov. 2022, AI時代のシステム学 －現実とインテリジェンスとシステム学, 計測自動制御学会 システム・情報部門 学術講演会 2022 (SSI2022)

Tutorial on Evolutionary Many-Objective Optimization
Academic society etc, Planning etc, Hisao Ishibuchi, Hiroyuki Sato, 18 Jul. 2022 - 23 Jul. 2022, 2022 IEEE Congress on Evolutionary Computation (IEEE CEC 2022)

Tutorial on Evolutionary Many-Objective Optimization
Academic society etc, Planning etc, Hisao Ishibuchi, Hiroyuki Sato, 28 Jun. 2021 - 01 Jul. 2021, 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021)

Tutorial on Evolutionary Many-Objective Optimization
Academic society etc, Planning etc, Hisao Ishibuchi, Hiroyuki Sato, 19 Jul. 2020 - 24 Jul. 2020, 2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020)

Tutorial on Evolutionary Many-Objective Optimization
Academic society etc, Planning etc, Hisao Ishibuchi, Hiroyuki Sato, 08 Jul. 2020 - 12 Jul. 2020, 2020 The Genetic and Evolutionary Computation Conference (GECCO 2020)

Tutorial on Evolutionary Many-Objective Optimization
Academic society etc, Planning etc, Hisao Ishibuchi, Hiroyuki Sato, 13 Jul. 2019 - 17 Jul. 2019, 2019 The Genetic and Evolutionary Computation Conference (GECCO 2019)

Tutorial on Evolutionary Many-Objective Optimization
Academic society etc, Planning etc, Hisao Ishibuchi, Hiroyuki Sato, 10 Jun. 2019 - 13 Jun. 2019, 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019)

Tutorial on Evolutionary Many-Objective Optimization
Academic society etc, Planning etc, Hisao Ishibuchi, Hiroyuki Sato, 08 Jul. 2018 - 13 Jul. 2018, 2018 IEEE World Congress on Computational Intelligence (IEEE WCCI 2018)

Special Session on Parallel and Distributed Evolutionary Computation in the Inter-Cloud Era (PDEC)
Academic society etc, Planning etc, Yuji Sato, Noriyuki Fujimoto, Hiroyuki Sato, 08 Jul. 2018 - 13 Jul. 2018, 2018 IEEE World Congress on Computational Intelligence (IEEE WCCI 2018)

企画セッション 進化計算の新世代
Academic society etc, Planning etc, 佐藤 寛之, 宮川 みなみ, 25 Nov. 2017 - 27 Nov. 2017, 計測自動制御学会 システム・情報部門 学術講演会 SSI2017

企画セッション 進化計算の新世代
Academic society etc, Planning etc, 小野景子, 宮川みなみ, 佐藤寛之, 06 Dec. 2016 - 08 Dec. 2016, 計測自動制御学会 システム・情報部門 学術講演会 SSI2016

Special Session on Many-objective Optimization
Academic society etc, Planning etc, Hiroyuki Sato, 24 Jul. 2016 - 29 Jul. 2016, 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016)

Special Session on Many-objective Optimization
Academic society etc, Planning etc, Hiroyuki Sato, 25 May 2015 - 28 May 2015, 2015 IEEE Congress on Evolutionary Computation (CEC 2015)

Workshop on Evolutionary Multi-Objective Optimization
Academic society etc, Planning etc, Hiroyuki Sato, 25 May 2015 - 28 May 2015, 2015 IEEE International Congress on Evolutionary Computation (CEC 2015)

Panel session on Evolutionary Many-Objective Optimization
Academic society etc, Planning etc, Hiroyuki Sato, Tomohiro Yoshikawa, Yusuke Nojima, 01 Jul. 2013 - 04 Jul. 2013, Panel Session of Recent Trends and Future Research Directions in Evolutionary Multiobjective Optimization in 17th Int'l Conf. on Intelligent System Applications to Power Systems (ISAP2013)

Special Session on Evolutionary Multiobjective Optimization and Multiple Criteria Decision Making
Academic society etc, Planning etc, Shinya Watanabe, Hiroyuki Sato, 20 Nov. 2012 - 24 Nov. 2012, The 6th International Conference on Soft Computing and Intelligent Systems and the 13th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2012)