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GAJDA, Z.; SEKANINA, L.
Original Title
An Efficient Selection Strategy for Digital Circuit Evolution
English Title
Type
Paper in proceedings outside WoS and Scopus
Original Abstract
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.
English abstract
Keywords
digital circuit, cartesian genetic programming, circuit design, evolutionary computation, selection operator
Key words in English
Authors
RIV year
2012
Released
08.09.2010
Publisher
Springer Verlag
Location
Berlin
ISBN
978-3-642-15322-8
Book
Evolvable Systems: From Biology to Hardware
Edition
Lecture Notes in Computer Science
Volume
6274
Pages from
13
Pages to
24
Pages count
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/" }
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