文献类型：期刊文献

英文题名：Logistics distribution route optimization based on genetic ant colony algorithm

作者：Zhu, Shanhong[1]; Dong, Weipeng[1]; Liu, Wei[2]

第一作者：朱珊虹

通讯作者：Zhu, Shanhong

机构：[1] School of Computer and Information Engineering, Xinxiang University, Henan, China; [2] Wuhan business University, Wuhan, China

第一机构：新乡学院计算机与信息工程学院

年份：2014

卷号：6

期号：6

起止页码：2264-2267

外文期刊名：Journal of Chemical and Pharmaceutical Research

收录：EI(收录号：20151100647951);Scopus(收录号：2-s2.0-84924713247)

语种：英文

外文关键词：Ant colony optimization - Emission control - Energy conservation - Genetic algorithms - Optimization

摘要：In order to achieve the goal of energy saving and emission reduction in logistics delivery vehicles, to achieve low cost low exhaust pollution in logistics distribution path optimization, that is to find the reasonable application of algorithm optimize the path. In view of the shortages of existing genetic algorithm and ant colony algorithm which have the characteristics of some limitations, such as ant colony algorithm's convergence slow, easy going, the characteristics of such as genetic algorithm premature convergence in the process of path optimization, process complex, integrating and improving the ant colony algorithm and genetic algorithm in order to solve logistics route optimization problem. At last, through simulation experiment, it is proved that the improved genetic ant colony algorithm is correct and effective. ? 2014, Journal of Chemical and Pharmaceutical Research. All rights reserved.