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
Link To Document :
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