Please use this identifier to cite or link to this item:
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.
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
Show full item record


checked on Jan 24, 2021

Page view(s)

checked on Jan 26, 2021

Google ScholarTM




Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.