DocumentCode :
1436032
Title :
Genetic algorithm simulation approach to determine membership functions of fuzzy traffic controller
Author :
Kim, J.Y. ; Kim, B.M. ; Kim, J.W.
Author_Institution :
Sch. of Comput. & Inf. Eng., Taegu Univ., Kyungpook, South Korea
Volume :
34
Issue :
20
fYear :
1998
fDate :
10/1/1998 12:00:00 AM
Firstpage :
1982
Lastpage :
1983
Abstract :
A genetic algorithm (GA) is used to determine membership functions in situations where fuzzy traffic control rules are given by human operators. To find membership functions showing good performance, the authors use a simulation approach while conventional methods are used to compute mathematical functions. In the simulation approach, the fitness value of a chromosome is determined by the use of a performance measure that is obtained by a traffic simulator
Keywords :
fuzzy control; genetic algorithms; road traffic; traffic control; chromosome; fitness value; fuzzy traffic controller; genetic algorithm simulation approach; mathematical functions; membership functions; performance measure;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19981369
Filename :
722068
Link To Document :
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