The research about simulated annealing ant colony algorithm in emergency logistics path optimization

被引：2
|
作者：
Zhang, Liyi [1 ]
Fei, Teng [1 ]
Sun, Yunshan [1 ]
机构：
[1] Tianjin Univ Commerce, Informat Engn Coll, Tianjin, Peoples R China
来源：
ADVANCED COMPOSITE MATERIALS, PTS 1-3 | 2012年 / 482-484卷
关键词：
Emergency Logistics; Path Optimization; Simulated Annealing Ant Colony Algorithm;
D O I：
10.4028/www.scientific.net/AMR.482-484.2470
中图分类号：
TB33 [复合材料];
学科分类号：
摘要：
Emergency logistics distribution, as an important role, is the key to the whole logistics. Emergency logistics is mainly reflected in emergency. For the disaster, economic benefit is not the first thing to be thought about. High efficiency is the key to emergency logistics. This article concentrates on path optimization of emergency logistics distribution. Propose emergency logistics distribution path optimization model which considers timeliness as the first goal. Utilize Simulated Annealing Ant Colony Algorithm to search for optimization. Based on simulation, Simulated Annealing Ant Colony Algorithm owns better timeliness to solve emergency logistics distribution.
引用
收藏
页码：2470 / 2474
页数：5
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