A composite particle swarm optimization algorithm with future information inspired by non-equidistant grey predictive evolution for global optimization problems and engineering problems

Particle swarm optimization (PSO) and its numerous performance-enhancing variants are a kind of stochastic optimization technique based on collaborative sharing of swarm information. Many variants took current particles and historical particles as current and historical information to improve their...

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Vydáno v:	Advances in engineering software (1992) Ročník 202; s. 103868
Hlavní autoři:	Hao, Rui, Hu, Zhongbo, Xiong, WenTao, Jiang, Shaojie
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.04.2025
Témata:	Future information Improved particle swarm optimization algorithm Non-equidistant grey prediction evolutionary algorithm Particle swarm optimization algorithm Future information Improved particle swarm optimization algorithm Non-equidistant grey prediction evolutionary algorithm Particle swarm optimization algorithm
ISSN:	0965-9978
On-line přístup:	Získat plný text
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