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

Cheng, Xuezhen; Li, Jiming; Zheng, Caiyun; Zhang, Jianhui; Zhao, Meng

Cheng, Xuezhen; Li, Jiming; Zheng, Caiyun; Zhang, Jianhui; Zhao, Meng.

Afiliação

Cheng X; College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China.
Li J; College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China.
Zheng C; State Grid Dongying District of Dongying City Power Supply Company, Dongying, China.
Zhang J; College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China.
Zhao M; College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China.

Front Neurorobot ; 15: 770361, 2021.

Article em En | MEDLINE | ID: mdl-34803648

Palavras-chave

adaptive inertia weight; chaos; gray wolf algorithm; improved particle swarm optimization; path planning; robot

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Neurorobot Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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