THE APPLICATION OF THE MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION ALGORITHM IN LOGISTICS DISTRIBUTION

被引：0
|
作者：
Guan, Tingting [1 ]
Zhou, Shaomei [1 ]
机构：
[1] Nanchang Univ, Dept Comp Ctr, Nanchang 330031, Peoples R China
来源：
PROCEEDINGS OF THE 2011 3RD INTERNATIONAL CONFERENCE ON FUTURE COMPUTER AND COMMUNICATION (ICFCC 2011) | 2011年
关键词：
logistics distribution; Multi-objective optimization; Multi-objective particle swarm optimization (MOPSO);
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The research of multi-objective optimization, how to find the Pareto optimum solution effectively and efficiently, has become very popular in recent years. And the logistics distribution problem is a very active domain that has been discussed by so many researchers. Though various algorithms have been applied to such kind optimization problem, the effectiveness still needs to be improved. In this paper, we analyzed the logistics distribution routing optimization problem, built its mathematical model, and used the multi-objective particle swarm optimization algorithm to solve the problem. Finally the simulation result demonstrated that the MOPSO algorithm performed better in quality and efficiency of searching the optimum path than other optimization algorithms.
引用
收藏
页码：31 / 36
页数：6
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