|本期目录/Table of Contents|

[1]王有鸿.基于遗传算法的生鲜农产品物流配送路径聚类优化[J].江苏农业科学,2018,46(12):358-362.
 Wang Youhong.Optimization of logistics distribution of fresh produce based on the genetic algorithm[J].Jiangsu Agricultural Sciences,2018,46(12):358-362.
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《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第46卷
期数:
2018年第12期
页码:
358-362
栏目:
农业经济与管理
出版日期:
2018-06-20

文章信息/Info

Title:
Optimization of logistics distribution of fresh produce based on the genetic algorithm
作者:
王有鸿
运城学院经济管理系,山西运城 044000
Author(s):
Wang Youhong
关键词:
生鲜农产品配送VRPVRPTW遗传算法聚类优化
Keywords:
-
分类号:
F252
DOI:
-
文献标志码:
A
摘要:
在居民对饮食品质要求逐步提升的今天,优化生鲜农产品物流配送线路可节约成本,提升相关企业经营效率。首先研究生鲜农产品配送线路优化模型,给出车辆路径问题(vehicle routing problem,简称VRP)和有时间窗车辆路径问题(vehicle routing problems with time windows,简称VRPTW)模式,进而完成生鲜农产品物流配送路径的遗传算法聚类优化设计,给出遗传算法聚类优化实现步骤。采用Matlab完成试验设计,研究生鲜农产品运输外部相似性,分析物流配送聚类结果以及组内路径求取结果,并进行性能测试。结果表明,本方法能够科学配置物流线路,阶跃生鲜运输车辆数目并提高满载率。
Abstract:
-

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2017-11-23
基金项目:山西省社会科学界联合会重点课题(编号:SSKLZDKT2016135);山西省哲学社会科学规划课题;山西省“1331”工程资助。
作者简介:王有鸿(1979—),男,陕西渭南人,硕士,副教授,主要从事农业经济学、区域经济学研究。E-mail:wangyouhong@126.com。
更新日期/Last Update: 2018-06-20