Revision of the existing techniques in genetic programming to evolve the subroutines
DOI:
https://doi.org/10.15381/risi.v10i1.5715Keywords:
Genetic algorithm, evolution of subroutines, genetic programmingAbstract
The genetic programming (GP) is a machine learning technique based on !he evolution of computer programs by a genetic algorithm. The version, called ADF (automatic function definition) to reuse a subroutine several times within the same individual. However, there is the possibility that the same subroutine may be reused by several individuals from the same population. There are several sys tems that, in principie, allow subroutines discover valid for many individuals in a population. One of the most advanced is the DLGP dynamic network. This work aims to develop the State of Art of PG varied techniques lo evolve existing subroutinesDownloads
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Copyright (c) 2013 Ana Maria Huayna Dueñas
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