Features of construction of genetic operators of the mutation and crossover by search vector of functions by means of genetic programming

Abstract

The paper refers to the usage and building of individuals crossover and mutation operators in vector genetic programming. In article the analysis of various approaches and their efficiency for evolutionary synthesis of control systems is given.

About the authors

Vladimir A Egorov

Samara State Technical University

Email: innewworld@mail.ru
аспирант; Самарский государственный технический университет; Samara State Technical University

Genadiy N Rogachev

Samara State Technical University

Email: innewworld@mail.ru
к.т.н., доцент; Самарский государственный технический университет; Samara State Technical University

References

  1. Koza J.R. Genetic Programming II: Automatic Discovery of Reusable Programs (Complex Adaptive Systems). - MA: MIT Press, 1994. - 768 с.
  2. Колесов Ю.Б. Моделирование систем: Динамические и гибридные системы. - СПб.: БХВ-Петербург, 2006. - 224 с.
  3. Рогачев Г.Н. Гибридный автомат как модель цифровой системы управления // Вестник СамГТУ. - 2007. - С. 59-63.
  4. Gustafsson T. On the design and implementation of a rotary crane controller // Eur. J. Contr. - 1996. - Т. 2. - С. 166-175.

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