Detail publikačního výsledku

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

English Title

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

Type

Paper in proceedings outside WoS and Scopus

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.

English 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

Key words in English

CGP, fitness landscape, image filter

Authors

SLANÝ, K.; SEKANINA, L.

RIV year

2010

Released

17.04.2007

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

Volume

4445

Pages from

311

Pages to

320

Pages count

10

URL

Full text in the Digital Library

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"
}