Accepted to ACM Transactions on Evolutionary Learning and Optimization

Our paper regarding the CMA-ES with Margin for mixed-integer black-box optimization problems has been accepted to ACM Transactions on Evolutionary Learning and Optimization. This paper is joint work with M. Nomura at CyberAgent, Inc.

• Ryoki Hamano, Shota Saito, Masahiro Nomura, and Shinichi Shirakawa: Marginal Probability-Based Integer Handling for CMA-ES Tackling Single-and Multi-Objective Mixed-Integer Black-Box Optimization, ACM Transactions on Evolutionary Learning and Optimization. [DOI] [arXiv]