Fuzzy Genetic Algorithm for Solving Optimization Problems

Considered a fuzzy genetic algorithm in which fuzzy rules for creating genetic operators with various properties and fuzzy criteria for stopping the genetic search process are implemented using fuzzy logic tools. In this case, the mathematical apparatus of the theory of fuzzy systems is used to encode, select the optimal parameters of genetic algorithms, select the fitness function and stopping criterion, and create fuzzy genetic operators.