SciELO - Scientific Electronic Library Online

 
vol.28 número2Prescribed-Time Trajectory Tracking Control of Wheeled Mobile Robots Using Neural Networks and Robust Control TechniquesBird Swarm Algorithm and Particle Swarm Optimization in Ensemble Recurrent Neural Networks Optimization for Time Series Prediction índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


Computación y Sistemas

versão On-line ISSN 2007-9737versão impressa ISSN 1405-5546

Resumo

ESPINAL, Andrés; SOTELO-FIGUEROA, Marco Aurelio  e  SORIA-ALCARAZ, Jorge Alberto. Grammatical Evolution with Codons Selection Order as Intensification Process. Comp. y Sist. [online]. 2024, vol.28, n.2, pp.837-846.  Epub 31-Out-2024. ISSN 2007-9737.  https://doi.org/10.13053/cys-28-2-5026.

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.

Palavras-chave : Grammatical evolution; symbolic regression; intensification.

        · texto em Inglês     · Inglês ( pdf )