An Improved PSO-GWO Algorithm With Chaos and Adaptive Inertial Weight for Robot Path Planning

The traditional particle swarm optimization (PSO) path planning algorithm represents each particle as a path and evolves the particles to find an optimal path. However, there are problems in premature convergence, poor global search ability, and to the ease in which particles fall into the local opt...

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Autores principales: Xuezhen Cheng, Jiming Li, Caiyun Zheng, Jianhui Zhang, Meng Zhao
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/51820d964ab24753abdc0e7cbc69bbe7
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