ADAPTATION OF PARAMETERS OF GENETIC ALGORITHM FOR COMPLEX FUNCTION OPTIMIZATION
ITMO University, 197101, Saint-Petersburg, 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
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.