Intelligent agents behavior in the queueing Process: Integrating cellular automata & Genetic Algorithms

Author

Sankaranarayanan, K. ; Larsen, E.R. ; van Ackere, A.

Author_Institution

Inst. of Manage., Univ. of Lugano, Lugano, Switzerland

fYear

2009

fDate

8-11 Dec. 2009

Firstpage

2099

Lastpage

2103

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

behavioural sciences; cellular automata; genetic algorithms; multi-agent systems; queueing theory; agent based evolutionary approach; cellular automata; genetic algorithms; intelligent agents behavior; queueing process; stochastic process; Algorithm design and analysis; Decision making; Equations; Feedback; Genetic algorithms; Intelligent agent; Marketing management; Stochastic processes; System performance; Toxicology; Agent based modeling; Cellular Automata; Genetic Algorithm; Queueing; Simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-4869-2

Electronic_ISBN

978-1-4244-4870-8

Type

conf

DOI

10.1109/IEEM.2009.5373158

Filename

5373158