文献类型：期刊文献

中文题名：生鲜食品配送车辆路径研究

英文题名：Research on Vehicle Routing of Fresh Food

作者：潘璠[1];吴一帆[2];董明[3]

机构：[1]上海交通大学中美物流研究院,上海200030;[2]华东理工大学商学院,上海200237;[3]上海交通大学安泰经济与管理学院,上海200052

年份：2013

卷号：41

期号：4

起止页码：223

中文期刊名：贵州农业科学

外文期刊名：Guizhou Agricultural Sciences

收录：CSTPCD;;北大核心:【北大核心2011】；

基金：国家自然科学基金资助项目(71101051);上海市晨光人才计划项目(11CG33)

语种：中文

中文关键词：生鲜食品;配送车辆路径模型;及时性;公平性;变邻域搜索

外文关键词：fresh food; vehicle routing model; timeliness; fairness; variable neighborhood search

摘要：为解决现实中生鲜食品配送难题,基于生鲜食品物流中及时性与公平性,建立了生鲜食品公平配送车辆路径模型,并对模型性质进行分析与邻域结构设计;同时提出了变邻域蚁群算法,算法吸收了变邻域搜索的局部搜索策略,具有较强的收敛速度与鲁棒性;最后通过算例比较,验证了模型和算法的有效性,结果变邻域蚁群算法收敛速度与效果更佳。
In order to provide a reference for solving the fresh food vehicle routing problem, the author established a fair vehicle routing model of fresh food based on the timeliness and fairness, and made a quality analysis and neighborhood structure design on the model. Meanwhile, the author proposed a new algorithm, Variable Neighborhood Ant Colony Algorithm （VNACA） combined with Variable Neighborhood Search （VNS）, which has a good converging speed and robustness. Finally, computational experiments was performed to demonstrate the validity of the model and VNACA, which showed that the converging speed and effect of VNACA was the better one.