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function. Symbolic regression methods are used for approximation. Simulation is carried out for a car

attractors, is solved. To solve the synthesis problem, methods of symbolic regression are used, which

This paper considers evolutionary methods of symbolic regression for the creation of artificial

where symbolic regression methods have been used for a long time to build models that are both

metaheuristic algorithms and symbolic regression methods. This study addresses a novel problem where

. For the solution of the synthesis problem the symbolic regression method is used. All phase constraints describing

is solved. The proposed algorithm uses numerical approach from the class of symbolic regression methods

In the known methods of symbolical regression by search of the solution with the help of a genetic

the general synthesis problem, symbolic regression methods were used without approximation of extremals

of the contraction mapping the evolutionary method of symbolical regression is used. Numerical examples

Страница 2 из 7942