卷烟物流非劣排序遗传多目标优化配送策略  

Study on Multi-objective Optimization Distribution Strategy for Cigarette Logistics Centers Based on Non-inferior Sequencing GA

作　　者：赵丽[1] 陈勇[2] 

机构地区：[1]陕西国际商贸学院西咸新区物流研究所,陕西咸阳712046 [2]空军工程大学工程学院,陕西西安710038

出　　处：《物流技术》2015年第9期170-173,共4页Logistics Technology

基　　金：国家自然科学基金(61304120);陕西省教育科学"十二五"规划课题(SGH140865)

摘　　要：卷烟配送既要降低企业配送成本,还要考虑客户对配送的满意情况。在分别构建车辆路径优化模型和零售终端满意度评价模型的基础上,建立了单位周期内含时间窗的卷烟配送多目标优化模型。采用非劣排序遗传算法实现了模型的多目标数值求解,并引入了改进的拥挤距离,以提高种群的多样性。计算结果表明,非劣排序遗传算法可完成卷烟物流配送路径的多目标优化,能够提供多组可行的配送策略。In this paper, on the basis of establishing the VRP model and retailing outlet satisfaction evaluation model, we built the cigarette distribution multi-objective optimization model with time window for a single cycle, adopted the non-inferior sequencing GA to realize the multi- objective solution of the model and then introduced the improved crowding distance to improve the diversity of the population.

关 键 词：卷烟配送策略 多目标优化 车辆路径 客户满意度 非劣排序遗传算法 

分 类 号：F253.4[经济管理—国民经济] F768.29