混合遗传算法的带时间窗卷烟物流车辆路径优化Hybrid genetic algorithm based cigarette logistics vehicle routing optimization with time window
范文兵,冯文
摘要(Abstract):
车辆路径问题(VRP)是物流配送的关键环节,优秀的配送策略可帮助企业提高服务体验,降低服务成本。在卷烟物流配送系统中会面临需求点数量巨大,客户指定接受服务的时间段要求。通过研究此类大范围卷烟配送的路径优化问题,结合实际需求,构建卷烟物流路径优化数学模型,并运用遗传算法处理该问题,提出以遗传算法为基础,爬山算法局部寻优的混合遗传算法。通过算例Matlab仿真计算,优化后的混合算法较一般的遗传算法可以提高算法收敛速度,并提升算法的全局最优解的质量。
关键词(KeyWords): 混合遗传算法;爬山算法;路径优化;烟草配送;物流配送;Matlab
基金项目(Foundation): 国家自然科学基金项目(61306106)~~
作者(Author): 范文兵,冯文
DOI: 10.16652/j.issn.1004-373x.2018.11.027
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