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.
Originalsprog | Engelsk |
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Titel | IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management |
Antal sider | 5 |
Publikationsdato | 2009 |
Sider | 2099-2103 |
Artikelnummer | 5373158 |
ISBN (Trykt) | 9781424448708 |
DOI | |
Status | Udgivet - 2009 |
Udgivet eksternt | Ja |
Begivenhed | IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 - Hong Kong, Kina Varighed: 8 dec. 2009 → 11 dec. 2009 |
Konference
Konference | IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 |
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Land/Område | Kina |
By | Hong Kong |
Periode | 08/12/2009 → 11/12/2009 |