Genetic algorithms and cellular automata:: A new architecture for traffic light cycles optimization

被引:24
作者
Sánchez, JJ [1 ]
Galán, M [1 ]
Rubio, E [1 ]
机构
[1] Univ Las Palmas Gran Canaria, CICEI, Las Palmas Gran Canaria 35017, Spain
来源
CEC2004: PROCEEDINGS OF THE 2004 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 | 2004年
关键词
D O I
10.1109/CEC.2004.1331096
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a new architecture for the optimization of Traffic Light Cycles in a Traffic Network. The model is based on three basic design items: The use of Genetic Algorithms as an optimization technique, the use of Cellular Automata Simulators within the Evaluation Function, and the use of a Beowulf Cluster as parallel execution environment for this architecture. We also present some tests to demonstrate that this new architecture is suitable for the problem it solves.
引用
收藏
页码:1668 / 1674
页数:7
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