DocumentCode
1826602
Title
Genetic algorithm based optimization of an agent based queuing system
Author
Sankaranarayanan, Kavitha ; Larsen, E.R. ; van Ackere, A. ; Delgado, C.A.
Author_Institution
Inst. of Manage., Univ. of Lugano, Lugano, Switzerland
fYear
2010
fDate
7-10 Dec. 2010
Firstpage
1344
Lastpage
1348
Abstract
Queuing research and its applications have been studied extensively by concentrating mainly on design, performance and running of the service facility under study. In this paper we show how a simple behavioral queuing system can be modeled using a Cellular Automata; and then we show how a Genetic Algorithm can be used to optimize the behavioral properties of this agent based model.
Keywords
cellular automata; genetic algorithms; knowledge based systems; queueing theory; agent based queuing system; behavioral queuing system; cellular automata; genetic algorithm; optimization; Adaptation model; Automata; Biological system modeling; Color; Convergence; Gallium; Optimization; Agent based modeling; Cellular Automata; Genetic Algorithm; Queuing; Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location
Macao
ISSN
2157-3611
Print_ISBN
978-1-4244-8501-7
Electronic_ISBN
2157-3611
Type
conf
DOI
10.1109/IEEM.2010.5674414
Filename
5674414
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