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
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