Hybridization of the genetic algorithm with the apparatus of fuzzy sets

Elena Skakalina


Evolutionary algorithms are one of the effective methods for solving problems with high computational complexity, large dimension and search space. The use of evolutionary algorithms makes the question of choosing their settings and parameters relevant. The solution to this issue is difficult and significantly affects the quality of the resulting model. The paper considers the issue of determining the dimension of the current population during the operation of the genetic algorithm using the mathematical apparatus of fuzzy sets with a pentary membership scale. The proposed hybrid genetic algorithm has been tested on sets of test functions. A comparative analysis of the classical and hybrid genetic algorithms for the accuracy of solving the optimization problem of the general plan of logistics transportation is carried out.

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