DocumentCode
3099391
Title
Staff scheduling by a genetic algorithm with heuristic operators
Author
Tanomaru, Julio
Author_Institution
Tokushima Univ., Japan
Volume
3
fYear
1995
fDate
22-25 Oct 1995
Firstpage
1951
Abstract
This paper has two major goals: 1) to define a workforce scheduling problem with many realistic constraints, and 2) to investigate its solution using a customized genetic algorithm featuring a group of operators which combine stochastic behavior and heuristics. Experiments show that high-quality workforce schedules can be obtained in reasonable time even for large problems
Keywords
genetic algorithms; human resource management; operations research; personnel; production control; genetic algorithm; heuristic operators; staff scheduling; stochastic behavior; workforce scheduling; Constraint optimization; Costs; Evolutionary computation; Genetic algorithms; Hospitals; Optimization methods; Productivity; Scheduling algorithm; Stochastic processes; Telephony;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-2559-1
Type
conf
DOI
10.1109/ICSMC.1995.538063
Filename
538063
Link To Document