A Model on Location Decision for Distribution Centers of Emergency Food Logistics

Author

Huang Xiang-Rong ; Xie Ru-He

Author_Institution

Sch. of Traffic & Transp. Eng., Central South Univ., Changsha, China

Volume

4

fYear

2009

fDate

21-22 May 2009

Firstpage

232

Lastpage

235

Abstract

The paper establishes an evaluation index system of location decision on distribution centers of emergency food logistics. Then it puts forward a model combining Radial Basis Function Neural Network (RBFNN) with improved Ant Colony Optimization (ACO) algorithm, which has not only the capability of high non-linear mapping via neural network, but also the characteristics of high efficiency, global convergence, and distributed calculation via improved ACO algorithm. The location decision on distribution centers of emergency food logistics can be made through the model on the premise of efficiency, safety and reliability. Finally, a simulation example is demonstrated to show the model is effective and applicable.

Keywords

emergency services; facility location; food safety; goods distribution; radial basis function networks; ACO algorithm; RBFNN; ant colony optimization; distribution center; efficiency; emergency food logistics; evaluation index system; location decision model; nonlinear mapping; radial basis function neural network; reliability; safety; Algorithm design and analysis; Ant colony optimization; Artificial neural networks; Convergence; Heuristic algorithms; Linear programming; Logistics; Neural networks; Radial basis function networks; Transportation; Ant Colony Optimization; Radial Basis Function Neural Network; emergency food logistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing Science, 2009. ICIC '09. Second International Conference on

Conference_Location

Manchester

Print_ISBN

978-0-7695-3634-7

Type

conf

DOI

10.1109/ICIC.2009.369

Filename

5169169