Paper Info
Title
Comparison of cauchy EDA and BIPOP-CMA-ES algorithms on the BBOB noiseless testbed
Abstract
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.
Year
DOI
Venue
2010
10.1145/1830761.1830791
GECCO (Companion)
Keywords
DocType
Citations 
cauchy eda,bbob noiseless testbed,best contender,optimization algorithm,bipop-cma-es algorithm,key feature,cauchy estimation-of-distribution algorithm,bi-population cma evolutionary strategy,cma evolutionary strategy,estimation-of-distribution algorithm,black-box optimization,cauchy sampling distribution,covariance matrix adaptation,evolutionary strategy,benchmarking,estimation of distribution algorithm,cauchy distribution
Conference
1
PageRank 
References 
Authors
0.34
8
1
Name
Order
Citations
PageRank
Petr Pošík121015.44