DCWPSO: particle swarm optimization with dynamic inertia weight updating and enhanced learning strategies

Particle swarm optimization (PSO) stands as a prominent and robust meta-heuristic algorithm within swarm intelligence (SI). It originated in 1995 by simulating the foraging behavior of bird flocks. In recent years, numerous PSO variants have been proposed to address various optimization applications...

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Principais autores:	Yibo Han, Meiting Lin, Ni Li, Qi Qi, Jinqing Li, Qingxin Liu
Formato:	Artigo
Idioma:	Inglês
Publicado:	PeerJ Inc. 2024-09-01
Series:	PeerJ Computer Science
Assuntos:	Particle swarm optimization Inertia weight Cosine similarity Dynamic neighborhood strategy Single-objective optimization
Acceso en liña:	https://peerj.com/articles/cs-2253.pdf
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