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Heterogeneous differential evolution particle swarm optimization with local search

Abstract To develop a high performance and widely applicable particle swarm optimization (PSO) algorithm, a heterogeneous differential evolution particle swarm optimization (HeDE-PSO) is proposed in this study. HeDE-PSO adopts two differential evolution (DE) mutants to construct different characteri...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Anping Lin, Dong Liu, Zhongqi Li, Hany M. Hasanien, Yaoting Shi
Format: Artigo
Sprache:Inglês
Veröffentlicht: Springer 2023-05-01
Schriftenreihe:Complex & Intelligent Systems
Schlagworte:
Online-Zugang:https://doi.org/10.1007/s40747-023-01082-8
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