A novel multi-level population hybrid search evolution algorithm for constrained multi-objective optimization problems

Constrained multi-objective optimization problem (CMOP) considers the convergence, diversity and feasibility of the population in the optimization process, so it is challenging to find desirable solutions of CMOP. Existing evolutionary multi-objective optimization algorithms have good performance on...

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Veröffentlicht in:	Journal of King Saud University. Computer and information sciences Jg. 34; H. 10; S. 9071 - 9087
Hauptverfasser:	Chaoqun Li, Yang Liu, Yao Zhang, Mengying Xu, Jing Xiao, Jie Zhou
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Springer 01.11.2022
Schlagworte:	Constrained multi-objective optimization Detection reset strategy Evolutionary algorithm Multi-level hybrid search Population fusion degree
ISSN:	1319-1578
Online-Zugang:	Volltext
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