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USING MODELS OF EVOLUTION FOR MANAGING MUTATIONS OF THE GENETIC ALGORITHM IN OPTIMIZATION OF MULTIPARAMETRIC FUNCTION

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A method of management of the genetic algorithm mutation procedure is developed. The method uses a coefficient that changes its value in the process of searching for an extremum of a multiple parameter function with respect to a dependence that is close in form to the evolutionary law. Results of experiments are presented to demonstrate the possibility of increasing the rate of convergence of the genetic algorithm due to correction of a mutation probability when searching for the test function optimum.

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