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Publikace detail

Versatile Function GPA
Rok: 2024
Druh publikace: článek ve sborníku
Název zdroje: Informatics 2024 : 2024 IEEE 17th International Scientific Conference on Informatics : proceedings
Název nakladatele: IEEE (Institute of Electrical and Electronics Engineers)
Místo vydání: New York
Strana od-do: 448 - 452
Tituly:
Jazyk Název Abstrakt Klíčová slova
cze GPA s univerzální funkcí This herein presented paper is dedicated to the introduction of the continuous versatile function Genetic Programming Algorithm (GPA) developed with respect to BigData processing. The basic structure of this hierarchical evolutionary algorithm and examples of versatile functions are presented. On the basis of experiments with the hybrid evolutionary algorithm (hybrid EA) providing symbolic regression of precomputed Lorenz attractor system data representing hybrid EA’s behaviour a discussion of examples of an obtained solution is presented. The versatile function concept GPA is applicable, but it requires the hybrid evolutionary algorithm application, as is demonstrated in the paper. hybrid evolutionary algorithm; genetic programming algorithm; versatile function GPA; BigData; symbolic regression
eng Versatile Function GPA This herein presented paper is dedicated to the introduction of the continuous versatile function Genetic Programming Algorithm (GPA) developed with respect to BigData processing. The basic structure of this hierarchical evolutionary algorithm and examples of versatile functions are presented. On the basis of experiments with the hybrid evolutionary algorithm (hybrid EA) providing symbolic regression of precomputed Lorenz attractor system data representing hybrid EA’s behaviour a discussion of examples of an obtained solution is presented. The versatile function concept GPA is applicable, but it requires the hybrid evolutionary algorithm application, as is demonstrated in the paper. hybrid evolutionary algorithm; genetic programming algorithm; versatile function GPA; BigData; symbolic regression

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