Title :
Multistage control of a fuzzy system using a genetic algorithm
Author :
Kacprzyk, Janusz
Author_Institution :
Syst. Res. Inst., Polish Acad. of Sci., Warsaw, Poland
fDate :
29 Nov-1 Dec 1995
Abstract :
A modified real coded genetic algorithm is proposed. This algorithm is used for the multistage control of a fuzzy dynamic system described by a fuzzy state transition equation operating under fuzzy constraints on controls and fuzzy goals on states. Some augmented crossover and mutation operations are employed
Keywords :
fuzzy control; fuzzy set theory; genetic algorithms; optimal control; augmented crossover; fuzzy constraints; fuzzy dynamic system; fuzzy goals; fuzzy state transition equation; modified real coded genetic algorithm; multistage control; mutation operations; Control systems; Dynamic programming; Equations; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Genetic mutations; Strain control;
Conference_Titel :
Evolutionary Computation, 1995., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2759-4
DOI :
10.1109/ICEC.1995.487496
