A New Genetic Algorithm for the Capacity Constraints Vehicle Routing Problem
Abstract: In this paper, a capacitated vehicle routing problem is studied, in which a distribution center and multiple customers are involved, and the optimization objective is to minimize the distance. For this kind of problem, a genetic algorithm based on a local search scheme is proposed. First, a crossover operator is investigated by the sum of parents. The crossover operator is different from most of traditional crossover procedures in that it can generate new offspring when parents are same, thus maintaining the diversity of population. In addition, in order to efficiently improve the offspring individuals in the iteration process, a local search scheme based on probability selection is presented. The simulation results show that the proposed algorithm is efficient.
文章引用: 马小璐 , 李和成 (2014) 带容量约束车辆路径问题的一个新遗传算法。 应用数学进展， 3， 222-230. doi: 10.12677/AAM.2014.34032
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