What is search space dimension in cma-es?
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The search space dimension in CMA-ES refers to the number of dimensions or variables in the optimization problem being solved. It determines the size and complexity of the search space that the algorithm explores. The abstracts mention different search space dimensions for the CMA-ES algorithm. Hansen's paper benchmarks the BI-population CMA-ES on the BBOB-2009 testbed and mentions search space dimensions of 5, 10, and 20 . Finck and Beyer's paper discusses the implementation of CMA-EGS on the BBOB 2010 testbed, but does not explicitly mention the search space dimension . Touré, Hansen, Auger, and Brockhoff's paper presents a framework for building a multiobjective algorithm from single-objective ones, but does not mention the search space dimension . Auger, Brockhoff, and Hansen's paper benchmarks the (1,4ms)-CMA-ES on the BBOB-2010 testbed and mentions search space dimensions of 5D and 20D .
Answers from top 4 papers
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| Papers (4) | Insight |
|---|---|
07 Jul 2010 | The search space dimension in the (1,4)-CMA-ES is not explicitly mentioned in the paper. |
13 Jul 2019 | The paper does not mention the specific search space dimension in CMA-ES. |
07 Jul 2010 1 Citations | The paper does not explicitly mention the term "search space dimension" in relation to CMA-EGS. |
08 Jul 2009 | The search space dimension in CMA-ES is denoted as D. |
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