An evolutionary multitasking algorithm based on k-nearest neighbors pre-selection strategy for constrained multi-objective optimization

Evolutionary algorithms for solving constrained multi-objective optimization problems have attracted considerable attention in recent years. These algorithms typically involve population initialization and evaluation, offspring generation, and environmental selection. However, many existing algorith...

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Veröffentlicht in:	Expert systems with applications Jg. 283; S. 127768
Hauptverfasser:	Jiang, Mengqi, Gao, Xiaochuan, Dang, Qianlong, Ruan, Junhu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.07.2025
Schlagworte:	Constrained multi-objective optimization Evolutionary multitasking K-nearest neighbors Pre-selection strategy Reverse learning mutation strategy Reverse learning mutation strategy Constrained multi-objective optimization K-nearest neighbors Pre-selection strategy Evolutionary multitasking
ISSN:	0957-4174
Online-Zugang:	Volltext
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