Publication detail

On Logic Synthesis of Conventionally Hard to Synthesize Circuits Using Genetic Programming

FIŠER, P. SCHMIDT, J. VAŠÍČEK, Z. SEKANINA, L.

Original Title

On Logic Synthesis of Conventionally Hard to Synthesize Circuits Using Genetic Programming

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Recently, it has been shown that synthesis of some circuits is quite difficult for conventional methods. In this paper we present a method of minimization of multi-level logic networks which can solve these difficult circuit instances. The synthesis problem is transformed on the search problem. A search algorithm called Cartesian genetic programming (CGP) is applied to synthesize various difficult circuits. Conventional circuit synthesis usually fails for these difficult circuits; specific synthesis processes must be employed to obtain satisfactory results. We have found that CGP is able to implicitly discover new efficient circuit structures. Thus, it is able to optimize circuits universally, regardless their structure. The circuit optimization by CGP has been found especially efficient when applied to circuits already optimized by a conventional synthesis. The total runtime is reduced, while the result quality is improved further more.

Keywords

digital circuit, logic synthesis, cartesian genetic programming 

Authors

FIŠER, P.; SCHMIDT, J.; VAŠÍČEK, Z.; SEKANINA, L.

RIV year

2010

Released

18. 4. 2010

Publisher

IEEE Computer Society

Location

Vienna

ISBN

978-1-4244-6610-8

Book

Proc. of the 13th Int. IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems

Pages from

346

Pages to

351

Pages count

6

URL

BibTex

@inproceedings{BUT35425,
  author="Petr {Fišer} and Jan {Schmidt} and Zdeněk {Vašíček} and Lukáš {Sekanina}",
  title="On Logic Synthesis of Conventionally Hard to Synthesize Circuits Using Genetic Programming",
  booktitle="Proc. of the 13th Int. IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems",
  year="2010",
  pages="346--351",
  publisher="IEEE Computer Society",
  address="Vienna",
  isbn="978-1-4244-6610-8",
  url="https://www.fit.vut.cz/research/publication/9199/"
}