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-...

Full description

Saved in:

Bibliographic Details
Published in:	Scientific reports 2022-01, Vol.12 (1), p.986-986, Article 986
Main Authors:	Chen, Zhe, Liu, Yuanxing
Format:	Article
Language:	eng
Subjects:	Algorithms Evolution Mutation Optimization Population
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	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.
ISSN:	2045-2322 2045-2322