Container movement by trucks in metropolitan networks: modeling and optimization

被引:106
作者
Jula, H
Dessouky, M
Ioannou, P [1 ]
Chassiakos, A
机构
[1] Univ So Calif, Dept Elect Engn, Los Angeles, CA 90089 USA
[2] Penn State Univ, SSET, Middletown, PA 17057 USA
[3] Univ So Calif, Dept Ind & Syst Engn, Los Angeles, CA 90089 USA
[4] Calif State Univ Long Beach, Coll Engn, Long Beach, CA 90840 USA
基金
美国国家科学基金会;
关键词
traveling salesman problem; time windows; dynamic programming; genetic algorithms; heuristic; container movement;
D O I
10.1016/j.tre.2004.03.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
Container movement by trucks with time constraints at origins and destinations is modeled as an asymmetric "multi-Traveling Salesmen Problem with Time Windows" (m-TSPTW) with social constraints. A two-phase exact algorithm based on dynamic programming (DP) is proposed that finds the best routes for a fleet of trucks. Since the m-TSPTW problem is NP-hard, the computational time for optimally solving large size problems becomes prohibitive. For large size problems, we develop a hybrid methodology consisting of DP in conjunction with genetic algorithms. The developed algorithms are compared with an insertion heuristic method. Computational results demonstrate the efficiency of the developed algorithms. (c) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:235 / 259
页数:25
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