Journal article

DRAHOŠOVÁ Michaela and SEKANINA Lukáš. Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP. Lecture Notes in Computer Science. 2012, vol. 2012, no. 7491, pp. 163-172. ISBN 978-3-642-32936-4. ISSN 0302-9743. Available from: http://link.springer.com/chapter/10.1007%2F978-3-642-32937-1_17
Publication language:english
Original title:Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP
Title (cs):Akcelerace evolučního návrhu obrazových filtrů s použitím koevoluce v kartézském GP
Pages:163-172
Book:The 12th International Conference on Parallel Problem Solving from Nature
Place:Berlin, DE
Year:2012
URL:http://link.springer.com/chapter/10.1007%2F978-3-642-32937-1_17
ISBN:978-3-642-32936-4
Journal:Lecture Notes in Computer Science, Vol. 2012, No. 7491, DE
ISSN:0302-9743
Publisher:Springer Verlag
Keywords
Cartesian genetic programming, coevolution, fitness modeling, image filter design.
Annotation
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.
BibTeX:
@ARTICLE{
   author = {Michaela Draho{\v{s}}ov{\'{a}} and Luk{\'{a}}{\v{s}}
	Sekanina},
   title = {Acceleration of Evolutionary Image Filter Design Using
	Coevolution in Cartesian GP},
   pages = {163--172},
   booktitle = {The 12th International Conference on Parallel Problem
	Solving from Nature},
   journal = {Lecture Notes in Computer Science},
   volume = {2012},
   number = {7491},
   year = {2012},
   location = {Berlin, DE},
   publisher = {Springer Verlag},
   ISBN = {978-3-642-32936-4},
   ISSN = {0302-9743},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9967}
}

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