Research theme for competitive and other funds (2):
2022 - 2025 相互性を有する多目的最適化問題のための分散進化計算の研究
2019 - 2023 スマート社会における実時間多数目的最適化のための分散進化計算の研究
Papers (60):
Mitsuhiko Uchida, Mikiko Sato, Yuji Sato. Evaluation Regarding Partitioning the Objective Space for Parallel distributed MOPSO/D. Proceedings of the Thirtieth International Symposium on Artificial Life and Robotics 2025 (AROB 30th 2025). 2025. 373-376
Mikiko Sato, Gai Nagahashi, Eisuke Okazaki, Yanzhi Li, Midori Sugaya. Prototype System of a Care Support Robot Equipped with Pose Estimation and Behaviour Control Utilizing MEC Resource Manager “MEC-RM”. Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform (APRIS). 2024. 2024. 83-84
Automatic Integration Method for FPGA-Based ROS2 Nodes for Parallel Processing. Transactions of the Institute of Systems, Control and Information Engineers. 2024. 37. 12. 295-304
Jia Guo, Wenhao Ye, Dong Wang, Zhou He, Zhou Yan, Mikiko Sato, Yuji Sato. A Novel Snow Leopard Optimization for High-Dimensional Feature Selection Problems. Sensors. 2024
Xinyuan Zhu, Yuji Sato, Mikiko Sato. The Optimal Zone Breadth for Parallel and Distributed MOEA/D with Virtual Overlap Zone and Exclusively Evaluated Mating. GECCO Companion. 2024. 395-398
The parallel distributed processing method using objective space partitioning by directivity for the multi-objective optimization algorithm NSGA-II.
(2024)
Implementation of Parallel MOPSO/D using Virtual Global Best Method in Python
(IEEE WCCI2024 Workshop on Computational Intelligence Applications 2024)