Variation operator of genetic algorithm application in the synthesis of automatic control system fuzzy controller.

In this paper we discuss the research about genetic algorithm application in fuzzy controller synthesis. Genetic algorithm is artificial intelligence approach and it allows finding fuzzy controller parameters which can provide the extreme value of optimization criterion. The authors describe the work of variation operator which includes into genetic algorithm. This research presents the results of automatic control system modeling simulation, input variables term-sets, rule base, array of fuzzy controller parameters and distribution of squared variances sum for variation of different groups of fuzzy controller parameters. Also article contains statistical analysis by testing statistical hypothesis about significant difference between variation of membership function parameters, rules consequences and rule weights. [ABSTRACT FROM AUTHOR]