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Journal of Applied Mathematics
Volume 2014 (2014), Article ID 239868, 17 pages
http://dx.doi.org/10.1155/2014/239868
Research Article

Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief Logistics

Department of Industrial Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran

Received 20 October 2013; Revised 3 January 2014; Accepted 21 January 2014; Published 17 April 2014

Academic Editor: Adewumi Aderemi Oluyinka

Copyright © 2014 Farnaz Barzinpour et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Thousands of victims and millions of affected people are hurt by natural disasters every year. Therefore, it is essential to prepare proper response programs that consider early activities of disaster management. In this paper, a multiobjective model for distribution centers which are located and allocated periodically to the damaged areas in order to distribute relief commodities is offered. The main objectives of this model are minimizing the total costs and maximizing the least rate of the satisfaction in the sense of being fair while distributing the items. The model simultaneously determines the location of relief distribution centers and the allocation of affected areas to relief distribution centers. Furthermore, an efficient solution approach based on genetic algorithm has been developed in order to solve the proposed mathematical model. The results of genetic algorithm are compared with the results provided by simulated annealing algorithm and LINGO software. The computational results show that the proposed genetic algorithm provides relatively good solutions in a reasonable time.