NDLI: Logistics network design optimization based on differential evolution algorithm

Content Provider	IEEE Xplore Digital Library
Author	SiBo Ding
Copyright Year	2010
Description	Author affiliation: Management School, Henan University of Technology, Zhengzhou 450001, China (SiBo Ding)
Abstract	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.
Starting Page	1064
Ending Page	1068
File Size	303029
Page Count	5
File Format	PDF
ISBN	9781424473311
e-ISBN	9781424473304
DOI	10.1109/ICLSIM.2010.5461119
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Reverse Logistics Electronic design automation and methodology Evolutionary computation Network Design Linear programming Forward Logistics Design optimization Convergence Technology management Genetic programming Differential Evolution Algorithm Reverse logistics Protection
Content Type	Text
Resource Type	Article

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