A dual-population based bidirectional coevolution algorithm for constrained multi-objective optimization problems

The balance between multiple objectives and various constraints is the key to solving constrained multi-objective optimization problems (CMOPs). When dealing with CMOPs with complex feasible regions, some evolutionary algorithms suffer from great challenges in converging to the constrained Pareto fr...

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Veröffentlicht in:	Expert systems with applications Jg. 215; S. 119258
Hauptverfasser:	Bao, Qian, Wang, Maocai, Dai, Guangming, Chen, Xiaoyu, Song, Zhiming, Li, Shuijia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2023
Schlagworte:	Bidirectional coevolution Constrained multi-objective Constrained-handling technique Cooperative dual-population Constrained multi-objective Cooperative dual-population Constrained-handling technique Bidirectional coevolution
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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