Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44300
Title: Genetic algorithms and cellular automata: a new architecture for traffic light cycles optimization
Authors: Sánchez, Javier J. 
Galán, Manuel
Rubio Royo, Enrique 
UNESCO Clasification: 120304 Inteligencia artificial
332702 Análisis del trafico
Keywords: Genetic algorithms
Traffic control
Telecommunication traffic
Testing
Optimization methods
Artificial neural networks
Feedback
Vehicles
Algorithm design and analysis
Design optimization
Issue Date: 2004
Conference: Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004 
Abstract: 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
Source: Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004,v. 2, p. 1668-1674
Appears in Collections:Actas de congresos
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