[PDF][PDF] Solving health care facility location problems with new heuristic algorithm method
MT Valipour, A Nedjati, R Kazemi - International journal of modeling …, 2013 - academia.edu
MT Valipour, A Nedjati, R Kazemi
International journal of modeling and optimization, 2013•academia.eduIn 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 …
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 …
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.
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