Revista: | Computación y sistemas |
Base de datos: | |
Número de sistema: | 000607906 |
ISSN: | 1405-5546 |
Autores: | Espinal, Andrés1 Sotelo Figueroa, Marco Aurelio1 Soria Alcaraz, Jorge Alberto1 |
Instituciones: | 1Universidad de Guanajuato, Departamento de Estudios Organizacionales, México |
Año: | 2024 |
Periodo: | Abr-Jun |
Volumen: | 28 |
Número: | 2 |
Paginación: | 837-846 |
País: | México |
Idioma: | Inglés |
Resumen en inglés | Grammar Evolution (GE) can be considered a form of Genetic Programming (GP) that has become very popular in the field of Automatic Programming (AP) over the last few years. There has been a lot of research on different aspects of GE, including its parts; the Search Engine, Mapping Process, and Grammar. However, it has been shown that it is possible to select the codons randomly to improve the GE, using a random permutation. This paper introduces a new approach to intensify a solution using permutation heuristics to guide the codon selection order. A non-parametric test was applied to discern between the results obtained by the proposal and those obtained by the canonical GE version and the GE with random permutations. |
Keyword: | Grammatical evolution, Symbolic regression, Intensification |
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