A novel clustering-based evolutionary algorithm with objective space decomposition for multi/many-objective optimization

The framework of decomposing a multi-objective optimization problem (MOP) into some MOPs holds considerable promise. However, its advancement is constrained by numerous elements, including the incorrect segmentation of the subspaces and the challenges in balancing convergence and diversity. To addre...

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Veröffentlicht in:	Information sciences Jg. 677; S. 120940
Hauptverfasser:	Zheng, Wei, Tan, Yanyan, Yan, Zeyuan, Yang, Mingming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.08.2024
Schlagworte:	Clustering Convergence and diversity Decomposition Many-objective optimization problem Multi-objective optimization problem Many-objective optimization problem Decomposition Convergence and diversity Clustering Multi-objective optimization problem
ISSN:	0020-0255
Online-Zugang:	Volltext
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