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    Applicability of artificial bee colony algorithm for nurse scheduling problems
    (ATLANTIS PRESS, 2014) Buyukozkan, Kadir; Sarucan, Ahmet
    This paper describes the first Artificial Bee Colony (ABC) Algorithm approach applied to nurse scheduling evaluated under different working environments. For this purpose, the model has been applied on a real hospital where data taken from different departments of the hospital were used and the schedules from the model were compared with the existing schedules. The results obtained indicated that the proposed model exhibits success in solving the nurse scheduling problems in hospitals.
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    AN ARTIFICIAL BEE COLONY ALGORITHM FOR SOLVING NURSE SCHEDULING PROBLEMS
    (WORLD SCIENTIFIC PUBL CO PTE LTD, 2012) Sarucan, Ahmet; Buyukozkan, Kadir
    The nurse scheduling problems (NSP) deal with assignment of the nurse to the specific shifts in specific days is taking into account both the hospital's need and nurse preference. In the hospitals, nurses are serving under difficult circumstances. To improve the quality of service, work schedules should be prepared in a fair manner and has to provide the desired conditions. In this study, it is aimed at developing a model which can be used in real applications and can be rapidly reached to the solution for the nurse scheduling problem. For this purpose, the formulated problem was solved by using artificial bee colony (ABC) algorithm, which is one of the new meta-heuristic methods. It has been coded a program with a user interface using the Visual Studio programming language for running the model. The designed interface is able to take into account the different level of the demand and the number of staff. The model was tested on a real problem and found better solution than the current situation.