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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F13%3APU106355%21RIV14-GA0-26230___
rdf:type
skos:Concept n20:Vysledek
rdfs:seeAlso
http://mitpress.mit.edu/sites/default/files/titles/content/ecal13/ch062.html
dcterms:description
In this paper, a hardware platform for coevolutionary cartesian genetic programming is proposed. The proposed two-population coevolutionary algorithm involves the implementation of search algorithms in two MicroBlaze soft processors (one for each population) interconnected by the AXI bus in Xilinx Virtex 6 FPGA. Candidate programs are evaluated in a domain-specific virtual reconfigurable circuit incorporated into custom MicroBlaze peripheral. Experimental results in the task of evolutionary image filter design show that we can achieve a significant speed-up (up to 58) in comparison with a highly optimized software implementation. In this paper, a hardware platform for coevolutionary cartesian genetic programming is proposed. The proposed two-population coevolutionary algorithm involves the implementation of search algorithms in two MicroBlaze soft processors (one for each population) interconnected by the AXI bus in Xilinx Virtex 6 FPGA. Candidate programs are evaluated in a domain-specific virtual reconfigurable circuit incorporated into custom MicroBlaze peripheral. Experimental results in the task of evolutionary image filter design show that we can achieve a significant speed-up (up to 58) in comparison with a highly optimized software implementation.
dcterms:title
Coevolutionary Cartesian Genetic Programming in FPGA Coevolutionary Cartesian Genetic Programming in FPGA
skos:prefLabel
Coevolutionary Cartesian Genetic Programming in FPGA Coevolutionary Cartesian Genetic Programming in FPGA
skos:notation
RIV/00216305:26230/13:PU106355!RIV14-GA0-26230___
n20:predkladatel
n21:orjk%3A26230
n3:aktivita
n18:S n18:P
n3:aktivity
P(GAP103/10/1517), S
n3:dodaniDat
n12:2014
n3:domaciTvurceVysledku
n15:1728393 n15:6235948
n3:druhVysledku
n16:D
n3:duvernostUdaju
n22:S
n3:entitaPredkladatele
n23:predkladatel
n3:idSjednocenehoVysledku
65873
n3:idVysledku
RIV/00216305:26230/13:PU106355
n3:jazykVysledku
n14:eng
n3:klicovaSlova
Cartesian genetic programming, coevolutionary algortihms, fitness modeling, hardware acceleration, FPGA.
n3:klicoveSlovo
n4:Cartesian%20genetic%20programming n4:coevolutionary%20algortihms n4:FPGA. n4:fitness%20modeling n4:hardware%20acceleration
n3:kontrolniKodProRIV
[7E5DFEF71F92]
n3:mistoKonaniAkce
Taormina
n3:mistoVydani
Cambridge
n3:nazevZdroje
Advances in Artificial Life, ECAL 2013, Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems
n3:obor
n17:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n10:GAP103%2F10%2F1517
n3:rokUplatneniVysledku
n12:2013
n3:tvurceVysledku
Šikulová, Michaela Hrbáček, Radek
n3:typAkce
n11:EUR
n3:zahajeniAkce
2013-09-02+02:00
s:numberOfPages
8
n7:doi
10.7551/978-0-262-31709-2-ch062
n9:hasPublisher
MIT Press
n13:isbn
978-0-262-31709-2
n8:organizacniJednotka
26230