Logistics Network Design Optimization Based on Differential Evolution Algorithm

被引：0
|
作者：
Ding, SiBo [1 ]
机构：
[1] Henan Univ Technol, Sch Management, Zhengzhou 450001, Peoples R China
来源：
PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON LOGISTICS SYSTEMS AND INTELLIGENT MANAGEMENT, VOLS 1-3 | 2010年
关键词：
Forward Logistics; Reverse Logistics; Differential Evolution Algorithm; Network Design; GLOBAL OPTIMIZATION;
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The aim of this paper is to study a mixed integer nonlinear programming model including forward logistics and reverse logistics. The problem is how to select plants, stores and collection points to constitute a closed-loop network, and how to expend the chosen plants, stores and collection points. Differential evolution algorithm is applied to solve the problem. The differential evolution algorithm originally is for global optimization over continuous spaces. According to the characteristics of the model, mapping method is developed to handle discrete variables. This study offers the improved differential evolution algorithm that optimizes the forward and reverse logistics simultaneously. Result shows the algorithm has a rapid convergence rate.
引用
收藏
页码：1064 / 1068
页数：5
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