Publication detail

Cartesian Genetic Programming as Local Optimizer of Logic Networks

SEKANINA, L. PTÁK, O. VAŠÍČEK, Z.

Original Title

Cartesian Genetic Programming as Local Optimizer of Logic Networks

Type

conference paper

Language

English

Original Abstract

Logic synthesis and optimization methods work either globally on the whole logic network or locally on preselected subnetworks. Evolutionary design methods have already been applied to evolve and optimize logic circuits at the global level. In this paper, we propose a new method based on Cartesian genetic programming (CGP) as a local area optimizer in combinational logic networks. First, a subcircuit is extracted from a complex circuit, then the subcircuit is optimized by CGP and finally the optimized subcircuit replaces the original one. The procedure is repeated until a termination criterion is satisfied. We present a performance comparison of local and global evolutionary optimization methods with a conventional approach based on ABC and analyze these methods using differently pre-optimized benchmark circuits. If a sufficient time is available, the proposed locally optimizing CGP gives better results than other locally operating methods reported in the literature; however, its performance is significantly worse than the evolutionary global optimization.

Keywords

logic network, cartesian genetic programming, optimization, digital circuit

Authors

SEKANINA, L.; PTÁK, O.; VAŠÍČEK, Z.

RIV year

2014

Released

5. 7. 2014

Publisher

IEEE Computational Intelligence Society

Location

Beijing

ISBN

978-1-4799-1488-3

Book

2014 IEEE Congress on Evolutionary Computation

Pages from

2901

Pages to

2908

Pages count

8

URL

BibTex

@inproceedings{BUT111519,
  author="Lukáš {Sekanina} and Ondřej {Pták} and Zdeněk {Vašíček}",
  title="Cartesian Genetic Programming as Local Optimizer of Logic Networks",
  booktitle="2014 IEEE Congress on Evolutionary Computation",
  year="2014",
  pages="2901--2908",
  publisher="IEEE Computational Intelligence Society",
  address="Beijing",
  doi="10.1109/CEC.2014.6900326",
  isbn="978-1-4799-1488-3",
  url="https://www.fit.vut.cz/research/publication/10504/"
}