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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Vydané v:	Information sciences Ročník 677; s. 120940
Hlavní autori:	Zheng, Wei, Tan, Yanyan, Yan, Zeyuan, Yang, Mingming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.08.2024
Predmet:	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
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