Research on hybrid strategy Particle Swarm Optimization algorithm and its applications

Research on hybrid strategy Particle Swarm Optimization algorithm and its applications

Abstract The increasing complexity and high-dimensional nature of real-world optimization problems necessitate the development of advanced optimization algorithms. Traditional Particle Swarm Optimization (PSO) often faces challenges such as local optima entrapment and slow convergence, limiting its...

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Bibliographic Details
Main Authors: Jicheng Yao, Xiaonan Luo, Fang Li, Ji Li, Jundi Dou, Hongtai Luo
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Particle Swarm Optimization algorithm
Hybrid strategy
Adaptive weight adjustment
Reverse learning strategy
Cauchy mutation mechanism
Hook-Jeeves strategy
Online Access:https://doi.org/10.1038/s41598-024-76010-y
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https://doi.org/10.1038/s41598-024-76010-y

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