Meta-Genetic Programming: Co-evolving the Operators of Variation

Home Page
About
Submit A Journal
Submit A Conference
Submit Paper/Book
- Submit a Preprint
- Submit a Book
Contact

Turkish Journal of Electrical Engineering and Computer Science
Volume:9 Issue:1
Meta-Genetic Programming: Co-evolving the Operators of Variation

Meta-Genetic Programming: Co-evolving the Operators of Variation

Authors : Bruce EDMONDS

Pages : 13-29

View : 11 | Download : 7

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :The standard Genetic Programming approach is augmented by co-evolving the genetic operators. To do this the operators are coded as trees of indefinite length. In order for this technique to work, the language that the operators are defined in must be such that it preserves the variation in the base population. This technique can varied by adding further populations of operators and changing which populations act as operators for others, including itself, thus to provide a framework for a whole set of augmented GP techniques. The technique is tested on the parity problem. The pros and cons of the technique are discussed.
Keywords : genetic programming, automatic programming, genetic operators, co evolution

ORIGINAL ARTICLE URL

VIEW PAPER (PDF)

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.