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A hybrid particle swarm optimization algorithm for solving engineering problem

Abstract To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) based on multiple hybrid strategies. Firstly, the elite opposition-based learning method is u...

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Gespeichert in:
Hauptverfasser: Jinwei Qiao, Guangyuan Wang, Zhi Yang, Xiaochuan Luo, Jun Chen, Kan Li, Pengbo Liu
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2024-04-01
Schriftenreihe:Scientific Reports
Schlagworte:
Particle swarm optimization
Elite opposition-based learning
Iterative mapping
Convergence analysis
Online-Zugang:https://doi.org/10.1038/s41598-024-59034-2
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