Publication detail

An Efficient Selection Strategy for Digital Circuit Evolution

GAJDA, Z. SEKANINA, L.

Original Title

An Efficient Selection Strategy for Digital Circuit Evolution

Type

article in a collection out of WoS and Scopus

Language

English

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.

Keywords

digital circuit, cartesian genetic programming, circuit design, evolutionary computation, selection operator

Authors

GAJDA, Z.; SEKANINA, L.

RIV year

2010

Released

8. 9. 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

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/"
}

Documents

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