Publication Details

Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP

DRAHOŠOVÁ, M.; SEKANINA, L. Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP. Lecture Notes in Computer Science, 2012, vol. 2012, no. 7491, p. 163-172. ISSN: 0302-9743.
Czech title
Akcelerace evolučního návrhu obrazových filtrů s použitím koevoluce v kartézském GP
Type
journal article
Language
English
Authors
Drahošová Michaela, Ing., Ph.D. (DCSY)
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY)
URL
Keywords

Cartesian genetic programming, coevolution, fitness modeling, image filter
design.

Abstract

The aim of this paper is to accelerate the task of evolutionary image filter
design using coevolution of candidate filters and training vectors subsets. Two
coevolutionary methods are implemented and compared for this task in the
framework of Cartesian Genetic Programming (CGP). Experimental results show that
only 15-20 % of original test vectors are needed to find an image filter which
provides the same quality of filtering as the best filter evolved using the
standard CGP which utilizes the whole training set. Moreover, the median time of
evolution was reduced 2.99 times in comparison with the standard CGP.

Published
2012
Pages
163–172
Journal
Lecture Notes in Computer Science, vol. 2012, no. 7491, ISSN 0302-9743
Book
The 12th International Conference on Parallel Problem Solving from Nature
ISBN
978-3-642-32936-4
Publisher
Springer Verlag
Place
Berlin
DOI
10.1007/978-3-642-32937-1_17
BibTeX 
@article{BUT96949,
  author="Michaela {Drahošová} and Lukáš {Sekanina}",
  title="Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP",
  journal="Lecture Notes in Computer Science",
  year="2012",
  volume="2012",
  number="7491",
  pages="163--172",
  doi="10.1007/978-3-642-32937-1\{_}17",
  issn="0302-9743",
  url="http://link.springer.com/chapter/10.1007%2F978-3-642-32937-1_17"
}
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