Bit level versus gene level crossover in a traffic modeling environment

Título:	Bit level versus gene level crossover in a traffic modeling environment
Autores/as:	Sanchez, Javier J. Galan, Manuel Rubio Royo, Enrique
Clasificación UNESCO:	120304 Inteligencia artificial 332703 Sistemas de transito urbano
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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