Work

Versatile Function GPA

Year: 2024

Type: conference-paper

Abstract: 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.

Source: IEEE International Scientific Conference on Informatics (Informatics)

DOI: 10.1109/informatics62280.2024.10900916

Authors: Tomas Brandejsky, Jan Merta

Institution: University of Pardubice

Language: English

Topic: Evolutionary Algorithms and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Erasmus+

OpenAlex ID: W4408258636

FWCI:

Cites: 11

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Related to: 10