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A hybrid algorithm for a vehicle routing problem with realistic constraints

Zhang, D and Cai, S and Ye, F and Si, YW and Nguyen, TT (2017) A hybrid algorithm for a vehicle routing problem with realistic constraints. Information Sciences, 394-95. pp. 167-182. ISSN 0020-0255

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Abstract

Proliferation of multi-national corporations and extremely competitive business environments have led to an unprecedented demand for third-party logistics services. However, recent studies on the vehicle routing problem (VRP) have considered only simple constraints. They also do not scale well to real-world problems that are encountered in the logistics industry. In this paper, we introduce a novel vehicle routing problem with time window and pallet loading constraints; this problem accounts for the actual needs of businesses in the logistics industry such as the delivery of consumer goods and agricultural products. To solve this new VRP, we propose a hybrid approach by combining Tabu search and the artificial bee colony algorithm. A new benchmark data set is generated to verify the performance of the proposed algorithm because the proposed VRP has never been reported in the literature. Experiments are performed for a data set of Solomon's 56 vehicle routing problem with time windows. Our approach is superior to a number of other heuristic algorithms in a comparison on Solomon's VRPTW instances. © 2017 Elsevier Inc.

Item Type: Article
Uncontrolled Keywords: 01 Mathematical Sciences, 08 Information And Computing Sciences, 09 Engineering
Subjects: H Social Sciences > HE Transportation and Communications
Q Science > QA Mathematics
Divisions: Maritime and Mechanical Engineering
Publisher: Elsevier
Date Deposited: 28 Mar 2017 10:01
Last Modified: 13 Sep 2017 23:57
DOI or Identification number: 10.1016/j.ins.2017.02.028
URI: http://researchonline.ljmu.ac.uk/id/eprint/6136

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