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Content Provider | IEEE Xplore Digital Library |
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Author | Chen, J.C. Chiang, C.S. Chen, B.B. Chen, C.W. |
Copyright Year | 2007 |
Description | Author affiliation: Chung-Yuan Univ., Chung-Li (Chen, J.C.) |
Abstract | This paper proposes a heuristic, tabu-disturbance algorithm (TDA), to efficiently and effectively solve vehicle routing problem with time window constraints (VRPTW). TDA integrates tabu search (TS) and noising method (NM). TS is one of the most popular generic heuristics in solving VRPHTW in recent years and NM is a combinatorial optimization meta-heuristic. The first objective is to determine the route that minimizes the total vehicle travel distances. This leads to a quick response to satisfy customer demands. The second objective is to find the minimum required number of vehicles. This can reduce the transportation cost. TDA results in good solution quality by the evaluation of Solomon's benchmark instances. Comparing with the optimal solution of the partial instances obtained by Desrochers et ah (1992), the average deviation of distance is about 1.0% and the average deviation of number of vehicles is about 2.4%, compared to the known "best" solutions. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 344539 |
Page Count | 5 |
File Format | |
ISBN | 1424408849 |
DOI | 10.1109/ICSSSM.2007.4280252 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-06-09 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Costs Heuristic algorithms Supply chains Transportation Industrial engineering noising method Routing time window Vehicles Information science vehicle routing problem tabu-disturbance algorithm tabu search Time factors Logistics |
Content Type | Text |
Resource Type | Article |
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