Intensification Process Applied to Codon Selection in Grammatical Evolution

Grammar Evolution (GE) represents a variant of Genetic Programming that has gained substantial popularity in recent years within the field of Automatic Programming. Extensive research has been conducted on various aspects of GE, including its core components such as the Search Engine, the Mapping Process, and the employed Grammar. Nevertheless, a noteworthy recent development centers around the optimization of codon selection methods. This paper presents a novel methodology aimed at enhancing codon selection through the utilization of permutation strategies. The application of this methodology is demonstrated in the context of addressing the symbolic regression problem, and the obtained results are subjected to rigorous scrutiny through statistical tests.