Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/44300
Título: Genetic algorithms and cellular automata: a new architecture for traffic light cycles optimization
Autores/as: Sánchez, Javier J. 
Galán, Manuel
Rubio Royo, Enrique 
Clasificación UNESCO: 120304 Inteligencia artificial
332702 Análisis del trafico
Palabras clave: Genetic algorithms
Traffic control
Telecommunication traffic
Testing
Optimization methods, et al.
Fecha de publicación: 2004
Conferencia: Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004 
Resumen: We present a new architecture for the optimization of Traffic Light Cycles in a Traffic Network. The model is based on three basic design items: The use of Genetic Algorithms as an optimization technique, the use of Cellular Automata Simulators within the Evaluation Function, and the use of a Beowulf Cluster as parallel execution environment for this architecture. We also present some tests to demonstrate that this new architecture is suitable for the problem it solves.
URI: http://hdl.handle.net/10553/44300
ISBN: 0-7803-8515-2
DOI: 10.1109/CEC.2004.1331096
Fuente: Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004,v. 2, p. 1668-1674
Colección:Actas de congresos
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