Conference paper

SLANÝ Karel and SEKANINA Lukáš. Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP. In: Genetic Programming, 10th European Conference, EuroGP 2007. Berlin: Springer Verlag, 2007, pp. 311-320. ISBN 978-3-540-71602-0.
Publication language:english
Original title:Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP
Title (cs):Analýza povrchu fitness a evoluce obrazových operátorů pomocí CGP na funkcionální úrovni
Pages:311-320
Proceedings:Genetic Programming, 10th European Conference, EuroGP 2007
Conference:10th European Conference on Genetic Programming
Series:Lecture Notes in Computer Science, 4445
Place:Berlin, DE
Year:2007
ISBN:978-3-540-71602-0
Publisher:Springer Verlag
URL:http://www.fit.vutbr.cz/~sekanina/publ/eurogp07/eurogp07.pdf [PDF]
Keywords
CGP, fitness landscape, image filter
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   author = {Karel Slan{\'{y}} and Luk{\'{a}}{\v{s}} Sekanina},
   title = {Fitness Landscape Analysis and Image Filter Evolution Using
	Functional-Level CGP},
   pages = {311--320},
   booktitle = {Genetic Programming, 10th European Conference, EuroGP 2007},
   series = {Lecture Notes in Computer Science, 4445},
   year = {2007},
   location = {Berlin, DE},
   publisher = {Springer Verlag},
   ISBN = {978-3-540-71602-0},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=8307}
}

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