About: Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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. 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. (en)
Title	Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP (en)
skos:prefLabel	Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP (en)
skos:notation	RIV/00216305:26230/12:PU101774!RIV13-GA0-26230___
http://linked.open...avai/predkladatel	Fakulta informačních technologií
http://linked.open...avai/riv/aktivita	P S Z
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0070), P(GAP103/10/1517), P(GD102/09/H042), S, Z(MSM0021630528)
http://linked.open...iv/cisloPeriodika	7491
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Sekanina, Lukáš Šikulová, Michaela
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	120837
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/12:PU101774
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Cartesian genetic programming, coevolution, fitness modeling, image filter design. (en)
http://linked.open.../riv/klicoveSlovo	Cartesian genetic programming fitness modeling image filter design. coevolution
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[8B993A178850]
http://linked.open...i/riv/nazevZdroje	Lecture Notes in Computer Science
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	IT4Innovations Centre of Excellence Mathematical and Engineering Approaches to Developing Reliable and Secure Concurrent and Distributed Computer Systems Natural Computing on Unconventional Platforms
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	2012
http://linked.open...iv/tvurceVysledku	Sekanina, Lukáš Šikulová, Michaela
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
issn	0302-9743
number of pages	10 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-32937-1_17
http://localhost/t...ganizacniJednotka	26230
is http://linked.open...avai/riv/vysledek of	Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP

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