Detail publikačního výsledku

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

SLANÝ, K.

Originální název

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

Anglický název

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

Druh

Stať ve sborníku mimo WoS a Scopus

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.

Anglický 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

Klíčová slova v angličtině

CGP, ALPS, image operator

Autoři

SLANÝ, K.

Rok RIV

2010

Vydáno

15.04.2009

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

Lecture Notes in Computer Science

Svazek

5481

Stát

Spolková republika Německo

Strany od

351

Strany do

361

Strany počet

11

URL

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/"
}

Dokumenty