Solving Nurse Scheduling Problem via Genetic Algorithm in Home Healthcare

Solving Nurse Scheduling Problem via Genetic Algorithm in Home Healthcare

Şahin İnanç, Arzu Eren Şenaras
ISBN13: 9781799880486|ISBN10: 1799880486|EISBN13: 9781799880998
DOI: 10.4018/978-1-7998-8048-6.ch059
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MLA

İnanç, Şahin, and Arzu Eren Şenaras. "Solving Nurse Scheduling Problem via Genetic Algorithm in Home Healthcare." Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, edited by Information Resources Management Association, IGI Global, 2021, pp. 1207-1214. https://doi.org/10.4018/978-1-7998-8048-6.ch059

APA

İnanç, Ş. & Eren Şenaras, A. (2021). Solving Nurse Scheduling Problem via Genetic Algorithm in Home Healthcare. In I. Management Association (Ed.), Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms (pp. 1207-1214). IGI Global. https://doi.org/10.4018/978-1-7998-8048-6.ch059

Chicago

İnanç, Şahin, and Arzu Eren Şenaras. "Solving Nurse Scheduling Problem via Genetic Algorithm in Home Healthcare." In Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, edited by Information Resources Management Association, 1207-1214. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-8048-6.ch059

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Abstract

The nurse scheduling problem (NSP) is the problem involving allocating the monthly shifts (day and night shifts, holidays, and so on) for nurses under various constraints. Generally, the NSP has a lot of constraints. As a result, it needs a lot of knowledge and experience to make the scheduling table with its constraints, and it has been made by the head nurse or the authority in the hospitals. This allocation of the shifts gives a lot of burden (time and efforts) to them, and it has been growing the demand for the automatic nurse scheduling system. This chapter aims to develop a genetic algorithm application for the Nurse Scheduling Problem (NSP). The application will be developed using Microsoft Visual Studio in C# programming language.

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