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vol 64 / April, 2021
Article

DOI 10.17586/0021-3454-2018-61-8-660-665

UDC 681.3

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

I. B. Bondarenko
ITMO University, 197101, Saint-Petersburg, Russian Federation; Associate professor


S. N. Shimanchuk
ITMO University, Department of , Computer System Design and Security; Student


Назарова В. В.
Назарова Виктория Владимировна;


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Abstract. 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.
Keywords: genetic algorithm, evolution, probability of a mutation, optimization, chromosome, convergence, management of selection

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