Abstract—In recent years, there has been much conservation about the issue healthcare location problem. In this paper we focus on emergency aspect of healthcare that related to allocate facilities. The best locations for some health care facilities are allocated according to different covering distances. We present IPSO (Improved Particle swarm optimization), as a powerful heuristic algorithm to maximizes the population assigned to a facility within the coverage distance. The proposed method was compared with the results of the LINGO software, GA. The results of this comparison show that IPSO can achieve better results for the solution in a faster time.
Index Terms—Maximum covering model, healthcare location, IPSO.
Mohammad Taghi Valipour and Arman Nedjati are with Industrial Engineering Department, Eastern Mediterranean University, Famagusta, TRNC, Via Mersin 10, Turkey (e-mail: mohammad.valipourr@gmail.com, arman.nedjati@cc.emu.edu.tr).
Seyedreza Kazemirazi is with Computer Engineering Department, Eastern Mediterranean University, Famagusta, TRNC, Via Mersin 10, Turkey (e-mail: kazemi.razi@gmail.com).
Cite: Mohammad Taghi Valipour, Arman Nedjati, and Reza Kazemi, "Solving Health Care Facility Location Problems with New Heuristic Algorithm Method," International Journal of Modeling and Optimization vol. 3, no. 1, pp. 12-14, 2013.
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