ADAPTATION OF PARAMETERS OF GENETIC ALGORITHM FOR COMPLEX FUNCTION OPTIMIZATION
The Bonch-Bruevich Saint Petersburg State University of Telecommunications, Saint Petersburg, 193232, Russian Federation; Associate professor
E. A. Kalyaeva
St. Petersburg State University of Information Technologies, Mechanics and Optics, Department of Computer Systems Design; Student
Кокшаров Д. Н.
Университет ИТМО; Студент
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Abstract. The influence of parameters of the developed genetic algorithm for optimization process for complex functions is investigated. The interrelation of parameters is shown by search of a global extremum of complex function. Recommendations are formulated on application of the genetic algorithms to the problems in question.
Keywords:
genetic algorithm, real coding, proportional selection, global optimization, test function, Rastrigin function, De Jong function, algorithm complexity.
