A space sampling based large-scale many-objective evolutionary algorithm

Large-scale multiobjective optimization problems have attracted increasing attention in both engineering applications and scientific research. Academically, large-scale multiobjective problems involve hundreds or thousands of decision variables. Due to the large decision space, the performance of tr...

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Veröffentlicht in:	Information sciences Jg. 679; S. 121077
Hauptverfasser:	Gao, Xiaoxin, He, Fazhi, Duan, Yansong, Ye, Chuanlong, Bai, Junwei, Zhang, Chen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.09.2024
Schlagworte:	Convergence and diversity Environmental selection Large-scale many-objective evolutionary algorithms Reference vector Space sampling Environmental selection Convergence and diversity Large-scale many-objective evolutionary algorithms Space sampling Reference vector
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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