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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F14%3APU112025%21RIV15-GA0-26230___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
One of the serious criticisms of the evolutionary circuit design method is that it is not suitable for the design of complex large circuits. This problem is especially visible in the evolutionary design of combinational circuits, such as arithmetic circuits, in which a perfect response is requested for every possible combination of inputs. This paper deals with a new method which enables us to evolve complex circuits from a randomly seeded initial population and without providing any information about the circuit structure to the evolutionary algorithm. The proposed solution is based on an advanced approach to the evaluation of candidate circuits. Every candidate circuit is transformed to a corresponding binary decision diagram (BDD) and its functional similarity is determined against the specification given as another BDD. The fitness value is the Hamming distance between the output vectors of functions represented by the two BDDs. It is shown in the paper that the BDD-based evaluation pr One of the serious criticisms of the evolutionary circuit design method is that it is not suitable for the design of complex large circuits. This problem is especially visible in the evolutionary design of combinational circuits, such as arithmetic circuits, in which a perfect response is requested for every possible combination of inputs. This paper deals with a new method which enables us to evolve complex circuits from a randomly seeded initial population and without providing any information about the circuit structure to the evolutionary algorithm. The proposed solution is based on an advanced approach to the evaluation of candidate circuits. Every candidate circuit is transformed to a corresponding binary decision diagram (BDD) and its functional similarity is determined against the specification given as another BDD. The fitness value is the Hamming distance between the output vectors of functions represented by the two BDDs. It is shown in the paper that the BDD-based evaluation pr
dcterms:title
How to Evolve Complex Combinational Circuits From Scratch? How to Evolve Complex Combinational Circuits From Scratch?
skos:prefLabel
How to Evolve Complex Combinational Circuits From Scratch? How to Evolve Complex Combinational Circuits From Scratch?
skos:notation
RIV/00216305:26230/14:PU112025!RIV15-GA0-26230___
n5:aktivita
n17:P
n5:aktivity
P(GA14-04197S)
n5:dodaniDat
n8:2015
n5:domaciTvurceVysledku
n10:7173873 n10:6455719
n5:druhVysledku
n15:D
n5:duvernostUdaju
n22:S
n5:entitaPredkladatele
n11:predkladatel
n5:idSjednocenehoVysledku
19807
n5:idVysledku
RIV/00216305:26230/14:PU112025
n5:jazykVysledku
n14:eng
n5:klicovaSlova
evolutionary design, digital circuit, binary decision diagram
n5:klicoveSlovo
n13:binary%20decision%20diagram n13:evolutionary%20design n13:digital%20circuit
n5:kontrolniKodProRIV
[7D2156D90269]
n5:mistoKonaniAkce
Orlando
n5:mistoVydani
Piscataway
n5:nazevZdroje
2014 IEEE International Conference on Evolvable Systems Proceedings
n5:obor
n9:IN
n5:pocetDomacichTvurcuVysledku
2
n5:pocetTvurcuVysledku
2
n5:projekt
n6:GA14-04197S
n5:rokUplatneniVysledku
n8:2014
n5:tvurceVysledku
Sekanina, Lukáš Vašíček, Zdeněk
n5:typAkce
n19:WRD
n5:zahajeniAkce
2014-12-09+01:00
s:numberOfPages
8
n20:doi
10.1109/ICES.2014.7008732
n12:hasPublisher
Institute of Electrical and Electronics Engineers
n3:isbn
978-1-4799-4480-4
n16:organizacniJednotka
26230