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A Multi-Objective Evolutionary Algorithm With Hierarchical Clustering-Based Selection

This paper proposes an evolutionary algorithm with hierarchical clustering based selection for multi-objective optimization. In the proposed algorithm, a hierarchical clustering is employed to design the environmental and mating selections, named local coverage selection and local area selection, re...

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Detalles Bibliográficos
Autores principales: Shenghao Zhou, Ze Chen, Qi Li, Mengjun Gu, Zhoucheng Bao, Wenda He, Weiguo Sheng
Formato: Artigo
Lenguaje:Inglês
Publicado: IEEE 2023-01-01
Colección:IEEE Access
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Acceso en línea:https://ieeexplore.ieee.org/document/10005273/
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