A Study on Rostering On-call Doctor Using Genetic Algorithm with Enhanced Genetic Operator

Author

Samah, Azurah A. ; Yusoff, Siti Norlizan Mat ; Zainudin, Zanariah ; Majid, Hairudin Abd

Author_Institution

Dept. of Modeling & Ind. Comput., Univ. Teknol. Malaysia, Skudai, Malaysia

fYear

2012

fDate

8-10 Feb. 2012

Firstpage

126

Lastpage

130

Abstract

This paper presents a study on enhanced genetic operator within genetic algorithm for rostering on-call doctor. We review the literature on genetic operator approach method which focused on genetic operator. The enhanced genetic operator is to be used within genetic algorithm to generate Oncall doctor rostering. On call doctor rostering problems represent a subclass of scheduling problems that are complicated to be solved. The main goal is to propose new algorithm for genetic operator and also to find satisfying shift and resource assignments, satisfying the needs and requirements of employees as well as the employers in specific health care institutions.

Keywords

genetic algorithms; hospitals; personnel; resource allocation; scheduling; employers; enhanced genetic operator approach method; genetic algorithm; health care institutions; on-call doctor rostering problems; resource assignments; scheduling problems; shift assignments; Biological cells; Computational modeling; Genetic algorithms; Genetics; Medical services; Optimization; Personnel; crossover; genetic operator; mutation; rostering;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on

Conference_Location

Kota Kinabalu

Print_ISBN

978-1-4673-0886-1

Type

conf

DOI

10.1109/ISMS.2012.120

Filename

6169687