国際会議 Genetic and Evolutionary Computation Conference (GECCO) 2024 に論文（Full Paper 3件，Poster Paper 1件）が採択され，山田さん（M1），濱野さん（修了生），内田助教が発表を行いました．
- Kento Uchida, Kenta Nishihara, and Shinichi Shirakawa: CMA-ES with Adaptive Reevaluation for Multiplicative Noise, Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Australia (hybrid), July 14-18, 2024. [DOI] [arXiv]
- CMA-ESのためのノイズ対処手法の提案
- Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, and Shinichi Shirakawa: CMA-ES for Safe Optimization, Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Australia (hybrid), July 14-18, 2024. [DOI] [arXiv]
- Safe OptimizationのためのCMA-ESの提案
- Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, and Shinichi Shirakawa: CatCMA : Stochastic Optimization for Mixed-Category Problems, Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Australia (hybrid), July 14-18, 2024. [DOI] [arXiv]
- 混合カテゴリブラックボックス最適化のための確率モデルベース最適化法の提案
- Yutaro Yamada, Kento Uchida, and Shinichi Shirakawa: How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions, Genetic and Evolutionary Computation Conference Companion (GECCO 2024, Poster Paper), Melbourne, Australia (hybrid), July 14-18, 2024. [DOI]
- 多目的進化計算手法を目的関数の単調増加変換に不変にするための方法の提案