Two-stage location-allocation problem with credibility objective

Authors:
Si-Yuan Shen;Yan-Kui Liu
Affiliations:
College of Mathematics and Computer Science, Hebei University, Baoding, Hebei, China;College of Mathematics and Computer Science, Hebei University, Baoding, Hebei, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Year:
2009

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Abstract

This paper presents a new class of two-stage fuzzy location-allocation problems with credibility objective, in which the customer demands are uncertain and assumed to be characterized by fuzzy variables. Since the fuzzy demand usually has an infinite support, we cannot solve the location-allocation problem by conventional optimization algorithms. To overcome this difficulty, we apply an approximation method to the two-stage fuzzy location-allocation problem, and tum it into an approximating optimization problem. In order to solve the approximating problem, we design a hybrid algorithm which combines approximation method, neural network (NN) and particle swarm optimization (PSO). At last, we present one numerical example to illustrate the effectiveness of the designed algorithm.