Multiobjective Vehicle Routing Problem with Route Balance Based on Genetic Algorithm

被引:10
作者
Zhou, Wei [1 ]
Song, Tingxin [1 ]
He, Fei [2 ]
Liu, Xi [1 ]
机构
[1] Hubei Univ Technol, Inst Engn Mech, Wuhan 430068, Hubei, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Nanjing 210094, Jiangsu, Peoples R China
关键词
SEARCH;
D O I
10.1155/2013/325686
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This study proposes a genetic algorithm to solve the biobjective vehicle routing problem with time windows simultaneously considering total distance and distance balance of active vehicle fleet. A new complex chromosome is used to present the active vehicle route. Through tournament selection, one-point crossover, and migrating mutation operator, the solution of the problem is solved. In experiment on Solomon's benchmark problems, considering the total distance and distance balance, the results are improved in all classes of problems. According to the experimental results, the suggested approach is sufficient and the average GA performance is good.
引用
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页数:9
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