Learning improvement representations to accelerate evolutionary large-scale multiobjective optimization

Large-Scale multi-objective optimization problems present significant challenges to traditional evolutionary algorithms due to the exponentially increased search space and computational burden. To address these issues, we propose a novel framework that integrates improvement representation learning...

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Veröffentlicht in:	Information sciences Jg. 705; S. 121973
Hauptverfasser:	Liu, Songbai, Wang, Zeyi, Ma, Lijia, Chen, Jianyong, Zhou, Xun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.07.2025
Schlagworte:	Evolutionary algorithm Improvement representation learning Large-scale multiobjective optimization Large-scale multiobjective optimization Improvement representation learning Evolutionary algorithm
ISSN:	0020-0255
Online-Zugang:	Volltext
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