Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/72733
Títulos: Bit level versus gene level crossover in a traffic modeling environment
Autores/as: Sanchez, Javier J. 
Galan, Manuel
Rubio Royo, Enrique 
Clasificación UNESCO: 332703 Sistemas de transito urbano
120304 Inteligencia artificial
3329 Planificación urbana
Fecha de publicación: 2005
Proyectos: Gestor de Conocimiento, Personal y Corporativo, Orientado A Procesos: Plataforma Suricata. 
Conferencia: International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005 
Resumen: During a couple of years we have dealt with the Traffic Lights Optimization Problem. We have designed a scalable and flexible architecture for this purpose. By this work we present a comparison between two different aproaches to crossover We have used a real world case. Through some tests we show that using a gray code bit level crossover instead of a gen level crossover may suppose a great saving of computing power.
URI: http://hdl.handle.net/10553/72733
ISBN: 978-0-7695-2504-4
DOI: 10.1109/CIMCA.2005.1631424
Fuente: International Conference On Computational Intelligence For Modelling, Control & Automation Jointly With International Conference On Intelligent Agents, Web Technologies & Internet Commerce, Proceedings, v. 1, p. 1190-1195, (2005)
Colección:Actas de congresos
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