A Method of Dual-AGV-Ganged Path Planning Based on the Genetic Algorithm
Yongrong Cai,
Haibin Liu,
Mingfei Li
et al.
Abstract:The genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection, and it is known for its iterative optimization capabilities in both constrained and unconstrained environments. In this paper, a novel method for GA-based dual-automatic guided vehicle (AGV)-ganged path planning is proposed to address the problem of frequent steering collisions in dual-AGV-ganged autonomous navigation. This method successfully plans global paths that are safe, collision-free, and efficient for both lead… Show more
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