Publication detail

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

SLANÝ, K.

Original Title

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

Type

article in a collection out of WoS and Scopus

Language

English

Original 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.

Keywords

CGP, ALPS, image operator

Authors

SLANÝ, K.

RIV year

2009

Released

15. 4. 2009

Publisher

Springer Verlag

Location

Tübingen

ISBN

978-3-642-01180-1

Book

Genetic Programming, 12th European Conference, EuroGP 2009

Edition

Lecture Notes in Computer Science

ISBN

0302-9743

Periodical

Lecture Notes in Computer Science

Year of study

5481

State

Federal Republic of Germany

Pages from

351

Pages to

361

Pages count

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/"
}

Documents

paper.pdf