1. Logistics Research Center, Shanghai Maritime University, Shanghai 201306, China;
2. School of Economics and Management, Tongji University, Shanghai 200092, China
Truck-and-Trailer Distribution Based on a Hybrid Evolutionary Algorithm
HU Zhi-Hua1,2, WEI Chen1, TAO Sha1
1. Logistics Research Center, Shanghai Maritime University, Shanghai 201306, China;
2. School of Economics and Management, Tongji University, Shanghai 200092, China
摘要A simple DTT is a problem to design a hybrid trucking route for single and double trailers as a new version of the routing problem using sub-tours for servicing truck customers. The local optimization approach, 2-opt, is employed to optimize the route. An 0/1 integer linear programming model is built to segment the route that visits all customers, and choose a sub-tours combination that minimizes the incremental cost of the sub-tours. A hybrid evolutionary algorithm is built upon them to search for an optimal hybrid route. Numerical samples are provided to show the features of the DTT problem. The performance of the sub-tours combination optimization model and the evolution of the fitness of the algorithm with or without 2-opt are studied by simulation. The results demonstrate the validity of the proposed approach.
Abstract:A simple DTT is a problem to design a hybrid trucking route for single and double trailers as a new version of the routing problem using sub-tours for servicing truck customers. The local optimization approach, 2-opt, is employed to optimize the route. An 0/1 integer linear programming model is built to segment the route that visits all customers, and choose a sub-tours combination that minimizes the incremental cost of the sub-tours. A hybrid evolutionary algorithm is built upon them to search for an optimal hybrid route. Numerical samples are provided to show the features of the DTT problem. The performance of the sub-tours combination optimization model and the evolution of the fitness of the algorithm with or without 2-opt are studied by simulation. The results demonstrate the validity of the proposed approach.
基金资助:Supported by the National Natural Science Foundation of China (No.71101088, No.71171129, No.71390521, No.71301101, No.71302033);the Science Foundation of Ministry of Education of China (No.20113121120002, No.20123121110004);the Science and Technology Commission of Shanghai (No.12ZR1412800,No.12510501600);and the Education Commission of Shanghai (No.14YZ100,No.13SG48)
通讯作者:
HU Zhi-Hua, zhhu@shmtu.edu.cn
E-mail: zhhu@shmtu.edu.cn
引用本文:
胡志华, 魏晨, 陶莎. 基于混合进化算法的甩挂配送问题研究[J]. Journal of Highway and Transportation Research and Development, 2014, 8(2): 105-110.
HU Zhi-Hua, WEI Chen, TAO Sha. Truck-and-Trailer Distribution Based on a Hybrid Evolutionary Algorithm. Journal of Highway and Transportation Research and Development, 2014, 8(2): 105-110.
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