HOME JOURNALS CONTACT

Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 19 | Page No.: 5391-5395
DOI: 10.3923/itj.2013.5391.5395
Facility Allocation based on Hybrid Discrete PSO under Emergency
Yu Xiao-bing

Abstract: Emergency management has become the most important approach to deal with accidents and natural disasters. A new multi-objective facility allocation model is proposed to determine the number of facilities and the relevant allocation process under emergency. Three objective functions including (1) Maximizing satisfaction in the accidents, (2) Minimizing the cost of facilities and (3) Maximizing the number of facilities taken part in rescue are involved. A hybrid discrete Particle Swarm Optimization (HDPSO) algorithm based on binary PSO is proposed to solve the multi-objectives. To verify the efficiency and intelligence of the algorithm, a numerical experiment has been done and results have demonstrated that the performance of the proposed algorithm is better than that of SA, GA and PSO.

Fulltext PDF

How to cite this article
Yu Xiao-bing , 2013. Facility Allocation based on Hybrid Discrete PSO under Emergency. Information Technology Journal, 12: 5391-5395.

Keywords: Emergency management, MODM, facility allocation and PSO

REFERENCES
  • Ziari, I. and A. Jalilian, 2012. Optimal placement and sizing of multiple APLCs using a modified discrete PSO. Int. J. Electr. Power Energy Syst., 43: 630-639.
    CrossRef    

  • Jia, H., F. Ordonez and M.M. Dessouky, 2007. Solution approaches for facility location of medical supplies for large-scale emergencies. Comput. Ind. Eng., 52: 257-276.
    CrossRef    

  • Lee, W.B., Y. Wang, W.M. Wang and C.F. Cheung, 2012. An Unstructured Information Management System (UIMS) for emergency management. Expert Syst. Applic., 39: 12743-12758.
    CrossRef    Direct Link    

  • Wang, X. and L. Tang, 2012. A discrete particle swarm optimization algorithm with self-adaptive diversity control for the permutation flowshop problem with blocking. Applied Soft Comput., 12: 652-662.
    CrossRef    

  • Wen, M. and K. Iwamura, 2008. Facility location-allocation problem in random fuzzy environment: Using (α,β)-cost minimization model under the Hurewicz criterion. Comput. Math. Appl., 55: 704-713.
    CrossRef    

  • Zhu, H., Y. Wang, K. Wang and Y. Chen, 2011. Particle Swarm Optimization (PSO) for the constrained portfolio optimization problem. Expert Syst. Appl., 38: 10161-10169.
    CrossRef    Direct Link    

    • © Science Alert. All Rights Reserved