Individuals redistribution based on differential evolution for covariance matrix adaptation evolution strategy

Among population-based metaheuristics, both Differential Evolution (DE) and Covariance Matrix Adaptation Evolution Strategy (CMA-ES) perform outstanding for real parameter single objective optimization. Compared with DE, CMA-ES stagnates much earlier in many occasions. In this paper, we propose CMA-...

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Autores principales: Chen, Zhe, Liu, Yuanxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770519/
https://www.ncbi.nlm.nih.gov/pubmed/35046441
http://dx.doi.org/10.1038/s41598-021-04549-1
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author Chen, Zhe
Liu, Yuanxing
author_facet Chen, Zhe
Liu, Yuanxing
author_sort Chen, Zhe
collection PubMed
description Among population-based metaheuristics, both Differential Evolution (DE) and Covariance Matrix Adaptation Evolution Strategy (CMA-ES) perform outstanding for real parameter single objective optimization. Compared with DE, CMA-ES stagnates much earlier in many occasions. In this paper, we propose CMA-ES with individuals redistribution based on DE, IR-CMA-ES, to address stagnation in CMA-ES. We execute experiments based on two benchmark test suites to compare our algorithm with nine peers. Experimental results show that our IR-CMA-ES is competitive in the field of real parameter single objective optimization.
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spelling pubmed-87705192022-01-20 Individuals redistribution based on differential evolution for covariance matrix adaptation evolution strategy Chen, Zhe Liu, Yuanxing Sci Rep Article Among population-based metaheuristics, both Differential Evolution (DE) and Covariance Matrix Adaptation Evolution Strategy (CMA-ES) perform outstanding for real parameter single objective optimization. Compared with DE, CMA-ES stagnates much earlier in many occasions. In this paper, we propose CMA-ES with individuals redistribution based on DE, IR-CMA-ES, to address stagnation in CMA-ES. We execute experiments based on two benchmark test suites to compare our algorithm with nine peers. Experimental results show that our IR-CMA-ES is competitive in the field of real parameter single objective optimization. Nature Publishing Group UK 2022-01-19 /pmc/articles/PMC8770519/ /pubmed/35046441 http://dx.doi.org/10.1038/s41598-021-04549-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Chen, Zhe
Liu, Yuanxing
Individuals redistribution based on differential evolution for covariance matrix adaptation evolution strategy
title Individuals redistribution based on differential evolution for covariance matrix adaptation evolution strategy
title_full Individuals redistribution based on differential evolution for covariance matrix adaptation evolution strategy
title_fullStr Individuals redistribution based on differential evolution for covariance matrix adaptation evolution strategy
title_full_unstemmed Individuals redistribution based on differential evolution for covariance matrix adaptation evolution strategy
title_short Individuals redistribution based on differential evolution for covariance matrix adaptation evolution strategy
title_sort individuals redistribution based on differential evolution for covariance matrix adaptation evolution strategy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770519/
https://www.ncbi.nlm.nih.gov/pubmed/35046441
http://dx.doi.org/10.1038/s41598-021-04549-1
work_keys_str_mv AT chenzhe individualsredistributionbasedondifferentialevolutionforcovariancematrixadaptationevolutionstrategy
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