A Hybrid Intelligent Algorithm for Grain Logistics Vehicle Routing Problem

被引：0
|
作者：
Wu, Jian Jun [1 ]
Zhen, Tong [1 ]
Ge, Hongyi [1 ]
机构：
[1] Henan Univ Technol, Coll Informat Sci & Engn, Zhengzhou 450000, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 2 | 2009年
关键词：
grain Logistics; simulating annealing; hybrid particle swarm optimization; Vehicle Routing Problem;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Grain logistics vehicle routing problem is derived from vehicle routing problem, they have been a focus Of research in the grain logistics managements recently, which the aim is to use the limited vehicles to a large number of jobs so that the maximum number of jobs can be completed with minimum cost Aiming at the characteristics of the large batch and multi-point to multi-point transportation of grain logistics, a hybrid particle swarm optimization (PSO) with simulated annealing (SA) algorithm is proposed to solve grain logistics vehicle routing problem (VRP) in this paper The experimental results manifest that the hybrid algorithm of PSO can solve grain logistics VRPTM quickly, the proposed algorithm is effective, and can reduce the cost of distribution
引用
收藏
页码：684 / 687
页数：4
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