TY  - JOUR
T1  - Biogeography Based Optimization with Guided Bed Selection
Mechanism for Patient Admission Scheduling Problems
AU - Hammouri, Abdel Aziz I. AU - Asmaran, Mohammed AU - Hezzam, Essa Abdullah AU - Alweshah, Mohammed 
JO  - International Journal of Soft Computing
VL  - 12
IS  - 2
SP  - 103
EP  - 111
PY  - 2017
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2017.103.111
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2017.103.111
KW  - evolutionary algorithms
KW  -meta-heuristic
KW  -healthcare
KW  -patient admission scheduling
KW  -Timetabling
KW  -biogeography based optimization
AB  - 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.
ER  -