研究業績リスト
ジャーナル論文 - rm_published_papers: International Conference Proceedings
Stable Normalization for Preference-based Subset Selection with an Unbounded External Archive
公開済 07/2026
Genetic and Evolutionary Computation Conference (GECCO 2026), to appear
ジャーナル論文 - rm_published_papers: International Conference Proceedings
Dominance-Boundary-Based Reference Point Generation for Indicator-Based Multiobjective Optimization
公開済 07/2026
Genetic and Evolutionary Computation Conference (GECCO 2026), to appear
ジャーナル論文 - rm_published_papers: International Conference Proceedings
公開済 07/2026
Genetic and Evolutionary Computation Conference (GECCO 2026), to appear
ジャーナル論文 - rm_published_papers: International Conference Proceedings
公開済 06/2026
The 2026 IEEE Congress on Evolutionary Computation (CEC2026), The 2026 IEEE World Congress on Computational Intelligence (WCCI2026), to appear
ジャーナル論文 - rm_published_papers: International Conference Proceedings
公開済 06/2026
The 2026 IEEE Congress on Evolutionary Computation (CEC2026), The 2026 IEEE World Congress on Computational Intelligence (WCCI2026), to appear
会議発表プレゼンテーション
Evolutionary Multi-objective Optimization in the Wild for Sustainable Industrial Systems
公開済 24/04/2026
2026 10th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2026), 24/04/2026–26/04/2026
ジャーナル論文 - rm_published_papers: Scientific Journal
Handling Multimodality in Pareto Set Estimation via Cluster-Wise Decomposition
公開済 08/04/2026
Applied Sciences, 16, 8, 3655 - 3655
Multimodal multi-objective optimization problems often exhibit one-to-many mappings, where multiple distinct variable vectors correspond to the same objective vector. This characteristic makes Pareto set (PS) estimation difficult, as conventional inverse modeling approaches assume a one-to-one correspondence. This study proposes a cluster-wise PS estimation framework in the variable space. Known solutions are partitioned into locally monotonic clusters using oscillation detection with an amplitude threshold, and independent response surface models are constructed for each cluster. By estimating PS solutions from multiple cluster-specific models for a given direction vector, the method preserves multimodal structures that conventional approaches fail to capture. Numerical experiments on the multimodal benchmark problems MMF1–8 and LIRCMOP1–2 demonstrate that the proposed method achieves equal or better HV and IGD values than the conventional method, while improving decision-space approximation as measured by IGDX in most test cases and suppressing the generation of dominated solutions.
ジャーナル論文 - rm_published_papers: International Conference Proceedings
Transferring Search Dynamics Instead of Solutions for Evolutionary Multi-Objective Optimization
公開済 04/2026
The 10th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI2026), to appear
ジャーナル論文 - rm_published_papers: International Conference Proceedings
公開済 04/2026
The 10th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI2026), to appear
ジャーナル論文 - rm_published_papers: International Conference Proceedings
Feature-Aware Probabilistic Partitioning for Distributed Multi-Robot Gaussian Process Exploration
公開済 04/2026
The 10th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI2026), to appear