Volume 6 Number 10 (Oct. 2011)
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JSW 2011 Vol.6(10): 2076-2081 ISSN: 1796-217X
doi: 10.4304/jsw.6.10.2076-2081

Research on Single and Mixed Fleet Strategy for Open Vehicle Routing Problem

Chunyu Ren

Heilongjiang University /School of Information science and technology, Harbin, China

Abstract—Open vehicle routing problem with single and mixed fleet strategy is logistics optimization indispensable part. Hybrid genetic algorithm is used to optimize the solution. Firstly, use sequence of real numbers coding so as to simplify the problem; construct the targeted initial solution to improve the feasibility; adopt some arithmetic crossover operator to enhance whole search ability of the chromosome. Secondly, Boltzmann simulated annealing mechanism for control genetic algorithm crossover and mutation operations improve the convergence speed and search efficiency. Finally, the simulation results demonstrate the effectiveness and good quality. At the same time, it proves that mixed fleet strategy can shorten distribution distance, reduce distribution vehicle so as to reduce distribution cost and improve economic benefit.

Index Terms—open vehicle routing problem, single and mixed fleet strategy, arithmetic crossover operator, boltzmann mechanism, hybrid genetic algorithm

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Cite: Chunyu Ren, "Research on Single and Mixed Fleet Strategy for Open Vehicle Routing Problem," Journal of Software vol. 6, no. 10, pp. 2076-2081, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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