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GECCO
2010
Springer

Comparison of cauchy EDA and BIPOP-CMA-ES algorithms on the BBOB noiseless testbed

9 years 3 months ago
Comparison of cauchy EDA and BIPOP-CMA-ES algorithms on the BBOB noiseless testbed
Estimation-of-distribution algorithm using Cauchy sampling distribution is compared with the bi-population CMA evolutionary strategy which was one of the best contenders in the black-box optimization benchmarking workshop in 2009. The results clearly indicate that the CMA evolutionary strategy is in all respects a better optimization algorithm than the Cauchy estimation-of-distribution algorithm. This paper compares both algorithms in more detail and adds to the understanding of their key features and differences. Categories and Subject Descriptors
Petr Posík
Added 13 Oct 2010
Updated 13 Oct 2010
Type Conference
Year 2010
Where GECCO
Authors Petr Posík
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