DocumentCode :
1942476
Title :
Bit Level Versus Gene Level Crossover in a Traffic Modeling Environment
Author :
Sanchez, Javier J. ; Galan, Manuel ; Rubio, Enrique
Author_Institution :
Centro de Innovacion parala Sociedad de la Informacion, Univ. of Las Palmas de Gran Canada
Volume :
1
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
1190
Lastpage :
1195
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 approaches 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
Keywords :
cellular automata; optimisation; road traffic; bit level crossover; gene level crossover; traffic light optimization problem; traffic modeling; Cities and towns; Computational modeling; Computer architecture; Environmental economics; Genetic algorithms; Optical coupling; Power generation economics; Reflective binary codes; Testing; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631424
Filename :
1631424
Link To Document :
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