Publicado 12 números por año
ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337
Indexed in
Solving a Uniform Nonlinear Approximation Problem Using Continuous Genetic Algorithm
SINOPSIS
A continuous genetic algorithm for solving a problem of the best uniform nonlinear approximation is proposed. A comparison of this algorithm with specialized algorithms of approximation is made according to results of computational experiments. There is presented an example of constructing a nonlinear empiric function of two variables for approximation of experimental data on filter capacity by using the genetic algorithm.
-
Vakal L. P., Kalenchuk-Porkhanova A. A., Vakal E. S., Increasing the Efficiency of Chebyshev Segment Fractional Rational Approximation, Cybernetics and Systems Analysis, 53, 5, 2017. Crossref
-
Vakal L. P., Vakal E. S., Algorithm for the Best Uniform Spline Approximation with Free Knots, Cybernetics and Systems Analysis, 55, 3, 2019. Crossref