Accepted to GECCO 2025

 Posted on May 1, 2025

Our papers (three full papers and two poster paper) have been accepted to Genetic and Evolutionary Computation Conference (GECCO) 2025 (Málaga, Spain (hybrid), July 14-18, 2025).

  • Yuta Sekino, Yohei Watanabe, Kento Uchida, and Shinichi Shirakawa: Surrogate-Assisted CMA-ES for Problems with Low Effective Dimensionality (Accepted as Full Paper)

  • Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, and Shinichi Shirakawa: CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables, Genetic and Evolutionary Computation Conference (GECCO 2025) (Accepted as Full Paper) [arXiv]

  • Takumi Matsuo, Kento Uchida, and Shinichi Shirakawa: Elitist Evolutionary Algorithm for Optimization on Sets of Points, Genetic and Evolutionary Computation Conference (GECCO 2025) (Accepted as Full Paper)

  • Haruhito Nakagawa, Yutaro Yamada, Kento Uchida, and Shinichi Shirakawa: Learning Rate Adaptation CMA-ES for Multimodal and Noisy Problems with Low Effective Dimensionality, Genetic and Evolutionary Computation Conference (GECCO 2025) (Accepted as Poster Paper)

  • Kento Uchida, Yohei Watanabe, Ryoki Hamano, and Shinichi Shirakawa: Search Space Selection Using Constrained Mixed-Integer Optimization Method, Genetic and Evolutionary Computation Conference (GECCO 2025) (Accepted as Poster Paper)

  • 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]

  • 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]

  • 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]

  • 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]