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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書目詳細資料

Principais autores:	Qinyu Niu, Yao Fu, Xinwei Dong
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2024-04-01
叢編:	World Electric Vehicle Journal
主題:	automated guided vehicle genetic algorithm ant colony algorithm path planning simulated annealing
在線閱讀:	https://www.mdpi.com/2032-6653/15/4/166
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