Detail publikace

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

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

SLANÝ, K.

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

Lecture Notes in Computer Science

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/"
}

Dokumenty

paper.pdf