Adaptive Ranking Based Constraint Handling for Explicitly Constrained Black-Box Optimization
Adaptive Ranking Based Constraint Handling for Explicitly Constrained Black-Box Optimization
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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We propose a novel constraint-handling technique for the covariance matrix adaptation evolution strategy (CMA-ES). The proposed technique is aimed at solving explicitly constrained black-box continuous optimization problems, in which the explicit constraint is a constraint whereby the computational time for the constraint violation and its (numeric...
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Adaptive Ranking Based Constraint Handling for Explicitly Constrained Black-Box Optimization
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TN_cdi_proquest_journals_2129789666
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2129789666
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E-ISSN
2331-8422
DOI
10.48550/arxiv.1811.00764
