Study on single and mixed fleet strategy for single-depot vehicle routing problem with backhauls

Chunyu Ren, Xiao-bo Wang
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引用次数: 2

Abstract

According to the individual and various demands of customers, establish single and mixed fleet single-depot vehicle routing problem with backhauls model. A hybrid heuristic algorithm is proposed to solving the problem, which combines the advantages of genetic algorithm and tabu search algorithm. Firstly, hybrid genetic algorithm is used to get the initialization solution. Namely, use natural number coding so as to simplify the problem; retain the best selection so as to guard the diversity of group, use essence cluster so as to generate more excellent chromosome. Secondly, the taboo searching algorithm is applied to optimizing the initialization solution, the best of which is taken by genetic algorithm. Consequently, the convergent speed and searching efficiency of algorithm are improved. Finally, the emulation and calculation prove that the hybrid heuristic algorithm is effective.
带返程的单车场车辆路径问题的单车队和混合车队策略研究
根据客户的个性化和多样化需求,建立了单车队和混合车队单车场车辆路径问题带回程模型。结合遗传算法和禁忌搜索算法的优点,提出了一种混合启发式算法。首先,采用混合遗传算法得到初始化解;即采用自然数编码,简化问题;保留最佳选择,以保护群体的多样性,使用精华集群,以产生更多的优秀染色体。其次,采用禁忌搜索算法对初始化解进行优化,遗传算法取其最优解;从而提高了算法的收敛速度和搜索效率。最后通过仿真和计算验证了混合启发式算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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