A hybrid differential evolution particle swarm optimization algorithm based on dynamic strategies

Particle Swarm Optimization (PSO), a meta-heuristic algorithm inspired by swarm intelligence, is widely applied to various optimization problems due to its simplicity, ease of implementation, and fast convergence. However, PSO frequently converges prematurely to local optima when addressing single-o...

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Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; pp. 4518 - 49
Main Authors:	Xu, Huarong, Deng, Qianwei, Zhang, Zhiyu, Lin, Shengke
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 06.02.2025 Nature Publishing Group Nature Portfolio
Subjects:	639/705/1042 639/705/117 Algorithms Center nearest particle Competitiveness Convergence Differential evolution (DE) Dynamic strategies Evolution Humanities and Social Sciences multidisciplinary Mutation Mutation crossover operator Optimization algorithms Particle swarm optimization (PSO) Science Science (multidisciplinary) Mutation crossover operator Particle swarm optimization (PSO) Dynamic strategies Differential evolution (DE) Center nearest particle
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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