Mathematical modeling of multiple tour multiple traveling salesman problem using evolutionary programming

被引:37
作者
Kota, L. [1 ]
Jarmai, K. [1 ]
机构
[1] Univ Miskolc, Dept Mat Handling & Logist, H-3515 Miskolc, Hungary
基金
匈牙利科学研究基金会;
关键词
Evolutionary programming; Heuristics; Logistics; Maintenance networks; OPTIMIZATION;
D O I
10.1016/j.apm.2014.11.043
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study describes a single phase algorithm for the fixed destination multi-depot multiple traveling salesman problem with multiple tours (mdmTSP). This problem widely appears in the field of logistics mostly in connection with maintenance networks. The general model of the technical inspection and maintenance systems is shown in the first part, where the solution of this problem is an important question. A mathematical model of the system's object expert assignment is proposed with the constraints typical of the system, like experts' capacity minimum and maximum and constraints on maximum and daily tours of the experts. In the second part, the developed evolutionary programming algorithm is described which solves the assignment, regarding the constraints introducing penalty functions in the algorithm. In the last part of the paper, the convergence of the algorithm and the run times and some examination of the parallelization are presented. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:3410 / 3433
页数:24
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