DocumentCode
3597319
Title
Modeling location-allocation problem by two-stage fuzzy programming
Author
Shen, Si-Yuan ; Liu, Yan-Kui ; Bai, Xue-Jie
Author_Institution
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China
Volume
2
fYear
2009
Firstpage
722
Lastpage
727
Abstract
This paper first deduces expected value formulas for fuzzy variables. After that, we present a new class of fuzzy two-stage location-allocation problems. To solve the two-stage location-allocation problem, this paper designs a hybrid algorithm which integrates the approximation method and particle swarm optimization (PSO) algorithm. Finally, an application example is considered to demonstrate the proposed optimization method.
Keywords
approximation theory; cost reduction; customer satisfaction; facility location; fuzzy set theory; particle swarm optimisation; approximation method; customer demand; expected value formula; facility location-allocation problem; fuzzy variables; optimization method; particle swarm optimization algorithm; penalty cost; two-stage fuzzy programming; Cybernetics; Machine learning; Two-stage fuzzy programming; approximation method; location-allocation problem; particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212385
Filename
5212385
Link To Document