№3 (42), 2017. INFORMATION TECHNOLOGY, COMPUTER SCIENCE AND CONTROL

Chekanin V.A., Kulikova M.Y.

Adaptive adjustment of parameters of the genetic algorithm

    Powered solutionthe problem of automatic selection of parameters in genetic optimization methods. Adaptive variants of the classical genetic algorithm and parallel genetic algorithm are developed. The results of testing the implemented algorithms on test unimodal and multiextremal functions are presented.

 
 

Keywords: genetic algorithm, parallel genetic algorithm, adaptive genetic algorithm, parameters of genetic algorithm..

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