Chapter
Jan 24, 2013
Research on the Genetic Algorithm in Nurse Scheduling Problems
Authors: Lingling Yuan [email protected], Qin Yang [email protected], and Hongyan Liang [email protected]Author Affiliations
Publication: ICLEM 2012: Logistics for Sustained Economic Development—Technology and Management for Efficiency
Abstract
Hospitals manage their human resources more effectively and optimize nurses' use in order to simplify the work of nurse scheduling and satisfy the human requirement of creating the nurses' working schedule. With the goal of creating a more effective method of scheduling nurses' working schedules, we first establish the multi-objective mathematical model on the basis of the constraints of nurses' working schedules and the results of previous studies. Next, this paper designs two heuristic scheduling algorithms using the genetic algorithm and simulated annealing algorithm to solve this problem. Then, MATLAB is used to program the optimization scheduling intelligently. Finally, through a numerical simulation of an actual case, the results verify the feasibility and effectiveness of the genetic algorithm.
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© 2012 American Society of Civil Engineers.
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Published online: Jan 24, 2013
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Undergraduate, Commercial College of Sichuan Normal University, China. E-mail: [email protected]
Associate Professor, Commercial College of Sichuan Normal University, China. E-mail: [email protected]
Undergraduate, Commercial College of Sichuan Normal University, China. E-mail: [email protected]
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