Publication detail

Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP

SLANÝ, K. SEKANINA, L.

Original Title

Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

This work analyzes fitness landscapes for the image filter design problem approached using functional-level Cartesian Genetic Programming. Smoothness and ruggedness of fitness landscapes are investigated for five genetic operators. It is shown that the mutation operator and the single-point crossover operator generate the smoothest landscapes and thus they are useful for practical applications in this area. In contrast to the gate-level evolution, a destructive behavior of a simple crossover operator has not been confirmed.

Keywords

CGP, fitness landscape, image filter

Authors

SLANÝ, K.; SEKANINA, L.

RIV year

2007

Released

17. 4. 2007

Publisher

Springer Verlag

Location

Berlin

ISBN

978-3-540-71602-0

Book

Genetic Programming, 10th European Conference, EuroGP 2007

Edition

Lecture Notes in Computer Science

Pages from

311

Pages to

320

Pages count

10

URL

http://www.fit.vutbr.cz/~sekanina/publ/eurogp07/eurogp07.pdf

BibTex

@inproceedings{BUT34270,
  author="Karel {Slaný} and Lukáš {Sekanina}",
  title="Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP",
  booktitle="Genetic Programming, 10th European Conference, EuroGP 2007",
  year="2007",
  series="Lecture Notes in Computer Science",
  volume="4445",
  pages="311--320",
  publisher="Springer Verlag",
  address="Berlin",
  isbn="978-3-540-71602-0",
  url="http://www.fit.vutbr.cz/~sekanina/publ/eurogp07/eurogp07.pdf"
}