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.


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    Title :

    Genetic algorithm simulation approach to determine membership functions of fuzzy traffic controller


    Contributors:
    Kim, J.W. (author) / Kim, B.M. (author) / Kim, J.Y. (author)

    Published in:

    Electronics Letters ; 34 , 20 ; 1982-1983


    Publication date :

    1998


    Size :

    2 Seiten, 4 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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