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

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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.