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Comparison of CGP and Age-Layered CGP Performance in Image Operator Evolution

SLANÝ Karel. Comparison of CGP and Age-Layered CGP Performance in Image Operator Evolution. In: Genetic Programming, 12th European Conference, EuroGP 2009. Lecture Notes in Computer Science, vol. 5481. Tübingen: Springer Verlag, 2009, pp. 351-361. ISBN 978-3-642-01180-1. ISSN 0302-9743.
Czech title
Srovnání CGP a Age-Layered CGP v úloze evoluce obrazových operátorů
Type
conference paper
Language
english
Authors
Slaný Karel, Ing. (DCSY FIT BUT)
Keywords
CGP, ALPS, image operator
Abstract
This paper analyses the efficiency of the Cartesian Genetic Programming (CGP) methodology in the image operator design problem at the functional level. The CGP algorithm is compared with an age layering enhancement of the CGP algorithm by the means of achieved best results and their computational effort. Experimental results show that the Age-Layered Population Structure (ALPS) algorithm combined together with CGP can perform better in the task of image operator design in comparison with a common CGP algorithm.
Published
2009
Pages
351-361
Journal
Lecture Notes in Computer Science, vol. 5481, ISSN 0302-9743
Proceedings
Genetic Programming, 12th European Conference, EuroGP 2009
Series
Lecture Notes in Computer Science
Conference
12th European Conference on Genetic Programming, Tubingen, DE
ISBN
978-3-642-01180-1
Publisher
Springer Verlag
Place
Tübingen, DE
BibTeX
@INPROCEEDINGS{FITPUB8922,
   author = "Karel Slan\'{y}",
   title = "Comparison of CGP and Age-Layered CGP Performance in Image Operator Evolution",
   pages = "351--361",
   booktitle = "Genetic Programming, 12th European Conference, EuroGP 2009",
   series = "Lecture Notes in Computer Science",
   journal = "Lecture Notes in Computer Science",
   volume = 5481,
   year = 2009,
   location = "T\"{u}bingen, DE",
   publisher = "Springer Verlag",
   ISBN = "978-3-642-01180-1",
   ISSN = "0302-9743",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/8922"
}
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