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SLANÝ, K.
Originální název
Comparison of CGP and Age-Layered CGP Performance in Image Operator Evolution
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
CGP, ALPS, image operator
Autoři
Rok RIV
2009
Vydáno
15. 4. 2009
Nakladatel
Springer Verlag
Místo
Tübingen
ISBN
978-3-642-01180-1
Kniha
Genetic Programming, 12th European Conference, EuroGP 2009
Edice
Lecture Notes in Computer Science
ISSN
0302-9743
Periodikum
Ročník
5481
Stát
Spolková republika Německo
Strany od
351
Strany do
361
Strany počet
11
URL
https://www.fit.vut.cz/research/publication/8922/
BibTex
@inproceedings{BUT30904, author="Karel {Slaný}", title="Comparison of CGP and Age-Layered CGP Performance in Image Operator Evolution", booktitle="Genetic Programming, 12th European Conference, EuroGP 2009", year="2009", series="Lecture Notes in Computer Science", journal="Lecture Notes in Computer Science", volume="5481", pages="351--361", publisher="Springer Verlag", address="Tübingen", isbn="978-3-642-01180-1", issn="0302-9743", url="https://www.fit.vut.cz/research/publication/8922/" }