Detail publikace

The Improvement of Quine-McCluskey Method Using Set Covering Problem for Safety Systems

ŠEDA, P. ŠEDA, M. HOŠEK, J. DVOŘÁK, J. ŠEDOVÁ, J.

Originální název

The Improvement of Quine-McCluskey Method Using Set Covering Problem for Safety Systems

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

When designing complex safety systems which consist of large scale logical circuits, the basic requirement is to minimise the number of elements that will implement the given logical functions. This will increase the reliability, and thus potentially the security of the devices. For logical functions with a number of variables of no more than 4, Karnaugh maps are preferred. However, in practice, we encounter much more complex functions, either directly applying Boolean algebra laws or using the Quine-McCluskey method, which is based on their systematic use. However, because this method does not provide a minimal form of logical function, and as a result, there may be redundant expressions, we will show that the additional phase of minimisation means solving the problem of covering all inputs by the obtained output expressions. For the purpose of clear representation and implementation process of post-processing method, the genetic algorithms and simulated annealing were implemented on OR-Library benchmarks.

Klíčová slova

logic circuits, minimisation, set covering problem, simulated annealing

Autoři

ŠEDA, P.; ŠEDA, M.; HOŠEK, J.; DVOŘÁK, J.; ŠEDOVÁ, J.

Vydáno

9. 9. 2019

Nakladatel

Institute of Electrical and Electronics Engineers

Místo

New York

ISBN

978-1-7281-2148-2

Kniha

The 4rd International Conference on Intelligent Green Building and Smart Grid (IGBSG 2019)

Strany od

282

Strany do

286

Strany počet

5

URL

BibTex

@inproceedings{BUT157806,
  author="Pavel {Šeda} and Miloš {Šeda} and Jiří {Hošek} and Jan {Dvořák} and Jindřiška {Šedová}",
  title="The Improvement of Quine-McCluskey Method Using Set Covering Problem for Safety Systems",
  booktitle="The 4rd International Conference on Intelligent Green Building and Smart Grid (IGBSG 2019)",
  year="2019",
  pages="282--286",
  publisher="Institute of Electrical and Electronics Engineers",
  address="New York",
  doi="10.1109/IGBSG.2019.8886174",
  isbn="978-1-7281-2148-2",
  url="https://ieeexplore.ieee.org/document/8886174"
}