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Detail publikačního výsledku
SLANÝ, K.; SEKANINA, L.
Original Title
Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
English Title
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
Keywords
CGP, fitness landscape, image filter
Key words in English
Authors
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
http://www.fit.vutbr.cz/~sekanina/publ/eurogp07/eurogp07.pdf
Full text in the Digital Library
http://hdl.handle.net/
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" }