Omnidirectional AGV Path Planning Based on Improved Genetic Algorithm

To address the issues with traditional genetic algorithm (GA) path planning, which often results in redundant path nodes and local optima, we propose an Improved Genetic Algorithm that incorporates an ant colony algorithm (ACO). Firstly, a new population initialization method is proposed. This metho...

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Autors principals:	Qinyu Niu, Yao Fu, Xinwei Dong
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-04-01
Col·lecció:	World Electric Vehicle Journal
Matèries:	automated guided vehicle genetic algorithm ant colony algorithm path planning simulated annealing
Accés en línia:	https://www.mdpi.com/2032-6653/15/4/166
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