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    AN EFFECTIVE HARMONY SEARCH ALGORITHM FOR NURSE SCHEDULING PROBLEM
    (WORLD SCIENTIFIC PUBL CO PTE LTD, 2016) Cetin, Ece; Sarucan, Ahmet
    The creation of the nurse schedules is one of the main research conducted on behalf of the effective use of human resources in health service. So, Nurse Scheduling Problems (NSP) has studied over forty years by many researchers. Many heuristic algorithms in the literature are generated based on the imitation of the events in nature. One of them is the Harmony Search Algorithm (HSA). The aim of this study is to examine all aspects of HSA and to evaluate the success of proposed HSA on a common set of problems in NSP. The originality of study lies in the fact that it is provided the further development of solution quality by adding a new feature to the parallel HSA.
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    Nurse scheduling using binary fuzzy goal programming
    (IEEE, 2015) Cetin, Ece; Sarucan, Ahmet
    Nurse scheduling problem (NSP) is a complex optimization problem of determining schedule for nurses by considering some constraints such as legal regulations, nurses' preferences, hospital policies and requirements. It is a difficult and time consuming task to deal with large problems with many constraints. In addition to this, in real world application, a person who prepared this schedule (e.g. head nurse), may be unable to state exact aspiration levels to the goals cause of system's uncertainties. So in this study, a multi objective integer programming model for NSP is proposed and then based on this model, Chang' binary fuzzy goal programming approach [1] is applied our problem. Finally a case study which is applied to a hospital in Konya, Turkey is presented to demonstrate the efficiency of the model.