Please use this identifier to cite or link to this item:
https://accedacris.ulpgc.es/handle/10553/72733
Title: | Bit level versus gene level crossover in a traffic modeling environment | Authors: | Sanchez, Javier J. Galan, Manuel Rubio Royo, Enrique |
UNESCO Clasification: | 120304 Inteligencia artificial 332703 Sistemas de transito urbano |
Issue Date: | 2005 | Project: | Gestor de Conocimiento, Personal y Corporativo, Orientado A Procesos: Plataforma Suricata. | Conference: | 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 | Abstract: | 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: | https://accedacris.ulpgc.es/handle/10553/72733 | ISBN: | 978-0-7695-2504-4 | DOI: | 10.1109/CIMCA.2005.1631424 | Source: | 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) |
Appears in Collections: | Actas de congresos |
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.