Treffer: Genetic algorithms and cellular automata : A new architecture for traffic light cycles optimization
Title:
Genetic algorithms and cellular automata : A new architecture for traffic light cycles optimization
Authors:
Source:
Proceedings of the 2004 congress on evolutionary computation (CEC 2004, June 19-23, 2004, Portland OR, USA).
Publisher Information:
Piscataway NJ: IEEE, 2004.
Publication Year:
2004
Physical Description:
print, 16 ref 2
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Automate cellulaire, Cellular automaton, Autómata celular, Feu signalisation, Traffic lights, Semáforo, Optimisation, Optimization, Optimización, Simulateur, Simulator, Simulador, Système réparti, Distributed system, Sistema repartido, Algorithme cellulaire, Cellular algorithm, Algoritmo celular
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Centro de Innovación para la Sociedad de la Información (C.I.C.E.I.) University of Las Palmas de G. C, 35017-Las Palmas de Gran Canaria, Spain
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17480076
Database:
PASCAL Archive
Weitere Informationen
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.