论文摘要
In this paper, a memetic algorithm with competition（MAC） is proposed to solve the capacitated green vehicle routing problem（CGVRP）. Firstly, the permutation array called traveling salesman problem（TSP） route is used to encode the solution, and an effective decoding method to construct the CGVRP route is presented accordingly. Secondly, the k-nearest neighbor（k NN） based initialization is presented to take use of the location information of the customers. Thirdly, according to the characteristics of the CGVRP, the search operators in the variable neighborhood search（VNS） framework and the simulated annealing（SA） strategy are executed on the TSP route for all solutions. Moreover, the customer adjustment operator and the alternative fuel station（AFS） adjustment operator on the CGVRP route are executed for the elite solutions after competition. In addition, the crossover operator is employed to share information among different solutions. The effect of parameter setting is investigated using the Taguchi method of design-ofexperiment to suggest suitable values. Via numerical tests, it demonstrates the effectiveness of both the competitive search and the decoding method. Moreover, extensive comparative results show that the proposed algorithm is more effective and efficient than the existing methods in solving the CGVRP.
论文目录
文章来源
类型: 期刊论文
作者: Ling Wang,Jiawen Lu
来源: IEEE/CAA Journal of Automatica Sinica 2019年02期
年度: 2019
分类: 信息科技,工程科技Ⅰ辑
专业: 环境科学与资源利用
单位: the Department of Automation, Tsinghua University
基金: supported by the National Science Fund for Distinguished Young Scholars of China(61525304),the National Natural Science Foundation of China(61873328)
分类号: X322
页码: 516-526
总页数: 11
文件大小: 2696K
下载量: 46
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