Detail publikace
Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
SLANÝ, K. SEKANINA, L.
Originální název
Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
CGP, fitness landscape, image filter
Autoři
SLANÝ, K.; SEKANINA, L.
Rok RIV
2007
Vydáno
17. 4. 2007
Nakladatel
Springer Verlag
Místo
Berlin
ISBN
978-3-540-71602-0
Kniha
Genetic Programming, 10th European Conference, EuroGP 2007
Edice
Lecture Notes in Computer Science
Strany od
311
Strany do
320
Strany počet
10
URL
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"
}