Open AccessA Multi-objective Genetic Algorithm for Optimizing the Nurse scheduling Problem
Author(s) -
Agustinus Edy Wibowo,
Y. Lianawati
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6204.098319
Subject(s) - nurse scheduling problem , computer science , schedule , scheduling (production processes) , genetic algorithm , job shop scheduling , mathematical optimization , nursing , medicine , operations research , flow shop scheduling , mathematics , machine learning , operating system
This paper explains the use of Genetic Algorithms in overcoming nurses scheduling problems in St. General Hospital Elisabeth. In this paper, Multi-Objective is used to solve problems with mathematical models and is applied to overcome nurse scheduling problems. Health is one of the essential things in human life. There are some departments in the hospital which serve the patients in the hospital, and one of them is the nursing department. The nurses in this department serve the patients every time, but they have limited time as the working hour must not be more than schedule 8 hours. So, there will be a problem in this aspect, especially the working for each nurse because the nurses must be stand by to serve the patients every time. The scheduled operation will be complicated, so we propose a solution by Genetic Algorithm method. The scheduling making by applying Genetic Algorithm method will give more optimal