CMA evolution strategy assisted by kriging model and approximate ranking
CMA evolution strategy assisted by kriging model and approximate ranking
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New York: Springer US
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Language
English
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New York: Springer US
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Contents
The covariance matrix adaptation evolution strategy (CMA-ES) is a competitive evolutionary algorithm (EA) for difficult continuous optimization problems. However, expensive function evaluation of many real-world optimization problems poses a serious challenge to the application of CMA-ES (and other EAs) to these problems. To address this challenge,...
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CMA evolution strategy assisted by kriging model and approximate ranking
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TN_cdi_proquest_journals_2052546363
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2052546363
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ISSN
0924-669X
E-ISSN
1573-7497
DOI
10.1007/s10489-018-1193-3