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GAJDA, Z. SEKANINA, L.
Originální název
An Efficient Selection Strategy for Digital Circuit Evolution
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
In this paper, we propose a new modification of Cartesian Genetic Programming (CGP) that enables to optimize digital circuits more significantly than standard CGP. We argue that considering fully functional but not necessarily smallest-discovered individual as the parent for new population can decrease the number of harmful mutations and so improve the search space exploration. This phenomenon was confirmed on common benchmarks such as combinational multipliers and the LGSynth91 circuits.
Klíčová slova
digital circuit, cartesian genetic programming, circuit design, evolutionary computation, selection operator
Autoři
GAJDA, Z.; SEKANINA, L.
Rok RIV
2010
Vydáno
8. 9. 2010
Nakladatel
Springer Verlag
Místo
Berlin
ISBN
978-3-642-15322-8
Kniha
Evolvable Systems: From Biology to Hardware
Edice
Lecture Notes in Computer Science
Strany od
13
Strany do
24
Strany počet
12
URL
https://www.fit.vut.cz/research/publication/9299/
BibTex
@inproceedings{BUT35729, author="Zbyšek {Gajda} and Lukáš {Sekanina}", title="An Efficient Selection Strategy for Digital Circuit Evolution", booktitle="Evolvable Systems: From Biology to Hardware", year="2010", series="Lecture Notes in Computer Science", volume="6274", pages="13--24", publisher="Springer Verlag", address="Berlin", isbn="978-3-642-15322-8", url="https://www.fit.vut.cz/research/publication/9299/" }