Title :
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
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;
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
DOI :
10.1109/IEEM.2009.5373158
