An improved particle swarm optimization based on the reinforcement of the population initialization phase by scrambled Halton sequence

The use of meta-heuristic methods for solving nonlinear engineering and optimization problems is one of the paramount topics that attracted the attention of the researchers. Particle swarm optimization (PSO) is an optimization algorithm which has inspired by birds flocking. However, like other metho...

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Autors principals:	Pouriya Amini Digehsara, Saeed Nezamivand Chegini, Ahmad Bagheri, Masoumeh Pourabd Roknsaraei
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2020-01-01
Col·lecció:	Cogent Engineering
Matèries:	particle swarm optimization (pso) scrambled halton sequence halton-pso benchmark function optimization engineering problem optimization
Accés en línia:	http://dx.doi.org/10.1080/23311916.2020.1737383
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