International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
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Abstract
This study derives its work from aninterest in the development of an automated approach to tackle highly constrained Patient Admission Scheduling Problems (PASP). It is concerned with an assignment of patients to bed in an appropriate department in such away it can maximize medical treatment effectiveness andpatient’s comfort. In this study we have investigate anewly created meta-heuristic optimization algorithm, called Biogeography Based Optimization (BBO) based onthe idea of migration of species between different habitats. We have integrate the BBO algorithm with aguided bed selection mechanism. The performance of the proposed approach is verified using standard bench mark datasets. Experimental results show that the BBO with aguided bed selection mechanism is able to obtain better results than the BBO with a random bed selection mechanism and is able to obtain a competitive results when compared to other approaches in the literature.
How to cite this article:
Mohammed Asmaran, Essa Abdullah Hezzam, Mohammed Alweshah and Abdel Aziz I. Hammouri. Biogeography Based Optimization with Guided Bed Selection
Mechanism for Patient Admission Scheduling Problems.
DOI: https://doi.org/10.36478/ijscomp.2017.103.111
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2017.103.111