Detail publikace

Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates

VAŠÍČEK, Z.

Originální název

Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

A new approach to the evolutionary optimization of large digital circuits is introduced in this paper. In contrast with evolutionary circuit design, the goal of the evolutionary circuit optimization is to minimize the number of gates (or other non-functional parameters) of already functional circuit. The method combines a circuit simulation with a formal verification in order to detect the functional inequivalence of the parent and its offspring. An extensive set of 100 benchmarks circuits is used to evaluate the performance of the method as well as the utilized evolutionary approach. Moreover, the role of neutral mutations in the context of evolutionary optimization is investigated. In average, the method enabled a 34% reduction in gate count even if the optimizer was executed only for 15 minutes.

Klíčová slova

Genetic programming, Cartesian Genetic Programming, Evolutionary optimization, Combinational circuits, Formal verification

Autoři

VAŠÍČEK, Z.

Rok RIV

2015

Vydáno

15. 3. 2015

Nakladatel

Springer International Publishing

Místo

Berlin

ISBN

978-3-319-16500-4

Kniha

Genetic Programming, 18th European Conference, EuroGP 2015

Edice

LCNS 9025

Strany od

139

Strany do

150

Strany počet

12

URL

https://www.fit.vut.cz/research/publication/10773/

BibTex

@inproceedings{BUT119799,
  author="Zdeněk {Vašíček}",
  title="Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates",
  booktitle="Genetic Programming, 18th European Conference, EuroGP 2015",
  year="2015",
  series="LCNS 9025",
  pages="139--150",
  publisher="Springer International Publishing",
  address="Berlin",
  doi="10.1007/978-3-319-16501-1\{_}12",
  isbn="978-3-319-16500-4",
  url="https://www.fit.vut.cz/research/publication/10773/"
}