Intelligent agents behavior in the Queuing Process: Integrating Cellular Automata & Genetic Algorithms

Details

Serval ID
serval:BIB_E7F6B707FE62
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Intelligent agents behavior in the Queuing Process: Integrating Cellular Automata & Genetic Algorithms
Title of the conference
2009 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM '09), Vols. 1-4
Author(s)
Sankaranarayanan K. , Larsen E.R. , van Ackere A.
Publisher
IEEE
Address
Hong Kong, China
ISBN
978-1-4244-4869-2
Publication state
Published
Issued date
12/2009
Peer-reviewed
Oui
Series
International Conference on Industrial Engineering and Engineering Management IEEM
Pages
2099-2103
Language
english
Abstract
Traditional queueing research has concentrated mainly on design, performance and running of the service facility with customers arriving following a stochastic process. In this paper we develop a behavioral model of a queueing system including repeat (returning) customers using a combination of Cellular Automata models (CA) and Genetic Algorithms (GA). An agent based evolutionary approach using simulation is adopted where agents' structural properties are defined using a CA and evolutionary strategies are implemented with the help of a GA.
Keywords
Agent based modeling, Cellular Automata, Genetic Algorithm, Queueing, Simulation
Web of science
Create date
17/02/2011 15:17
Last modification date
21/08/2019 5:16
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