Benchmarking CMA-ES with margin on the bbob-mixint testbed

Author:

Hamano Ryoki1,Saito Shota2,Nomura Masahiro3,Shirakawa Shinichi1

Affiliation:

1. Yokohama National University, Yokohama, Kanagawa, Japan

2. Yokohama National University & SkillUp AI Co., Ltd., Yokohama, Kanagawa, Japan

3. CyberAgent, Shibuya, Tokyo, Japan

Funder

Japan Society for the Promotion of Science

Publisher

ACM

Reference15 articles.

1. A Restart CMA Evolution Strategy With Increasing Population Size

2. James Bergstra , Rémi Bardenet , Yoshua Bengio , and Balázs Kégl . 2011. Algorithms for Hyper-Parameter Optimization. Advances in Neural Information Processing Systems 24 ( 2011 ). James Bergstra, Rémi Bardenet, Yoshua Bengio, and Balázs Kégl. 2011. Algorithms for Hyper-Parameter Optimization. Advances in Neural Information Processing Systems 24 (2011).

3. CMA-ES with margin

4. Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed

5. Nikolaus Hansen. 2011. A CMA-ES for Mixed-Integer Nonlinear Optimization. Research Report. INRIA. Nikolaus Hansen. 2011. A CMA-ES for Mixed-Integer Nonlinear Optimization. Research Report. INRIA.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

2. LB+IC-CMA-ES: Two Simple Modifications of CMA-ES to Handle Mixed-Integer Problems;Lecture Notes in Computer Science;2024

3. Benchmarking CMA-ES with Basic Integer Handling on a Mixed-Integer Test Problem Suite;Proceedings of the Companion Conference on Genetic and Evolutionary Computation;2023-07-15

4. When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12

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