Publication Details

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

SLANÝ, K.; SEKANINA, L. Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP. In Genetic Programming, 10th European Conference, EuroGP 2007. Lecture Notes in Computer Science, 4445. Berlin: Springer Verlag, 2007. p. 311-320. ISBN: 978-3-540-71602-0.
Czech title
Analýza povrchu fitness a evoluce obrazových operátorů pomocí CGP na funkcionální úrovni
Type
conference paper
Language
English
Authors
Slaný Karel, Ing. (RG EHW)
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY)
URL
Keywords

CGP, fitness landscape, image filter

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.

Published
2007
Pages
311–320
Proceedings
Genetic Programming, 10th European Conference, EuroGP 2007
Series
Lecture Notes in Computer Science, 4445
ISBN
978-3-540-71602-0
Publisher
Springer Verlag
Place
Berlin
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, 4445",
  pages="311--320",
  publisher="Springer Verlag",
  address="Berlin",
  isbn="978-3-540-71602-0"
}
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