Publication detail

Gate-Level Optimization of Polymorphic Circuits Using Cartesian Genetic Programming

GAJDA, Z. SEKANINA, L.

Original Title

Gate-Level Optimization of Polymorphic Circuits Using Cartesian Genetic Programming

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Polymorphic digital circuits contain ordinary and polymorphic gates. In the past, Cartesian Genetic Programming (CGP) has been applied to synthesize polymorphic circuits at the gate level. However, this approach is not scalable. Experimental results presented in this paper indicate that larger and more efficient polymorphic circuits can be designed by a combination of conventional design methods and evolutionary optimization (conducted by CGP). Proposed methods are evaluated on two benchmark circuits of variable input size.

Keywords

polymorphic circuit, circuit synthesis, evolutionary design, cartesian genetic programming

Authors

GAJDA, Z.; SEKANINA, L.

RIV year

2009

Released

26. 5. 2009

Publisher

IEEE Computational Intelligence Society

Location

NA

ISBN

978-1-4244-2958-5

Book

Proc. of 2009 IEEE Congress on Evolutionary Computation

Pages from

1599

Pages to

1604

Pages count

6

URL

https://www.fit.vut.cz/research/publication/8949/

BibTex

@inproceedings{BUT33725,
  author="Zbyšek {Gajda} and Lukáš {Sekanina}",
  title="Gate-Level Optimization of Polymorphic Circuits Using Cartesian Genetic Programming",
  booktitle="Proc. of 2009 IEEE Congress on Evolutionary Computation",
  year="2009",
  pages="1599--1604",
  publisher="IEEE Computational Intelligence Society",
  address="NA",
  isbn="978-1-4244-2958-5",
  url="https://www.fit.vut.cz/research/publication/8949/"
}