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

机译:开放车辆路径问题的单机和混合机群策略研究

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摘要

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.
机译:单机和混编策略的开放式车辆路径问题是物流优化不可或缺的部分。混合遗传算法用于优化解决方案。首先,使用实数编码序列,以简化问题;构建有针对性的初步解决方案以提高可行性;采用一些算术交叉算子来增强染色体的整体搜索能力。其次,用于控制遗传算法交叉和变异操作的玻尔兹曼模拟退火机制提高了收敛速度和搜索效率。最后,仿真结果证明了该方法的有效性和良好的质量。同时证明了混合车队策略可以缩短配送距离,减少配送车辆,从而降低配送成本,提高经济效益。

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