Benchmarking CMA-ES with margin on the bbob-mixint testbed
Author:
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
Link
https://dl.acm.org/doi/pdf/10.1145/3520304.3534043
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.
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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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