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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Vydané v:	Scientific reports Ročník 15; číslo 1; s. 4518 - 49
Hlavní autori:	Xu, Huarong, Deng, Qianwei, Zhang, Zhiyu, Lin, Shengke
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 06.02.2025 Nature Publishing Group Nature Portfolio
Predmet:	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
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