DocumentCode :
3154752
Title :
Memetic Algorithm for operating room admissions
Author :
Souki, Mejdi ; Ben Youssef, S. ; Rebai, Abdelwaheb
Author_Institution :
Fac. de Sci. Economique et de Gestion, Univ. de Sfax, Sfax, Tunisia
fYear :
2009
fDate :
6-9 July 2009
Firstpage :
519
Lastpage :
524
Abstract :
In this paper, we propose an efficient Memetic Algorithm (MA) which combines the Genetic Algorithm (GA) and Variable Neighbourhood Decent (VND) to solve the operating room admissions. Operating room admissions consists in assigning from the waiting list the interventions on the patients in the appropriate specific time block taking into account the availability of hospital beds and the blocks. In a view to minimizing the weighted number of used blocks and the penalizing function of the violation of the respect of deadline of intervention on the patient, a formal description by a mixed integer programming and an effective memetic algorithm to the investigate problem are proposed. The proposed memetic algorithm is compared against with two other meta-heuristics GA and VNS. Finally, computational experiment shows that the proposed memetic algorithm is very effective to others compared meta-heuristics.
Keywords :
genetic algorithms; hospitals; integer programming; genetic algorithm; hospital beds availability; memetic algorithm; mixed integer programming; operating room admissions; variable neighbourhood decent; violation penalizing function; Ambulatory surgery; Business; Capacity planning; Genetic algorithms; Hospitals; Linear programming; Mathematical programming; Resource management; Scheduling; Time measurement; Operating rooms; memetic algorithm; variable neighborhood decent; variable neighbourhood search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
Conference_Location :
Troyes
Print_ISBN :
978-1-4244-4135-8
Electronic_ISBN :
978-1-4244-4136-5
Type :
conf
DOI :
10.1109/ICCIE.2009.5223833
Filename :
5223833
Link To Document :
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