Research of Emergency Logistics Routing Optimization Based on Particle Swarm Optimization

被引：0

作者：

Zhang, Liyi ^{[1
]}

Li, Yang ^{[2
]}

Fei, Teng ^{[1
]}

Chen, Xi ^{[1
]}

Ting, Guo ^{[1
]}

机构：

[1] Tianjin Univ Commerce, Informat Engn Coll, Tianjin, Peoples R China

[2] Tianjin Univ Commerce, Econ Coll, Tianjin, Peoples R China

来源：

PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (CSAIT 2013) | 2014年 / 255卷

关键词：

Particle swarm optimization (PSO); Emergency logistics; Path optimization; Single-vehicle;

D O I：

10.1007/978-81-322-1759-6_48

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Emergency logistics path optimization as a key link for today's emergency decision has not to be ignored. The particle swarm optimization (PSO) as originally conceived was to simulate the process of flocks of birds foraging, and subsequently, it is found that the PSO is the better optimization tool. In this paper, single-vehicle emergency logistics distribution routing optimization model of an extreme case is established, the PSO is used in solving the model, and its effectiveness is shown by simulation.

引用

页码：415 / 421

页数：7