Publication detail

Multiobjective Evolution of Multiple-Constant Multipliers

PETRLÍK, J. SEKANINA, L.

Original Title

Multiobjective Evolution of Multiple-Constant Multipliers

English Title

Multiobjective Evolution of Multiple-Constant Multipliers

Type

conference paper

Language

en

Original Abstract

In this paper, we propose a method for multiobjective evolutionary design of multiple constant multipliers (MCM). MCM is a digital circuit which multiplies its single input by N constants. MCMs are very good candidates for evolutionary design, because  a candidate MCM can quickly be evaluated by applying only a single test vector. In our approach, we utilize Cartesian Genetic Programming and a controlled elitist non-dominated sorting algorithm. The proposed method is capable of finding a good trade-off among the chosen criteria.

English abstract

In this paper, we propose a method for multiobjective evolutionary design of multiple constant multipliers (MCM). MCM is a digital circuit which multiplies its single input by N constants. MCMs are very good candidates for evolutionary design, because  a candidate MCM can quickly be evaluated by applying only a single test vector. In our approach, we utilize Cartesian Genetic Programming and a controlled elitist non-dominated sorting algorithm. The proposed method is capable of finding a good trade-off among the chosen criteria.

Keywords

multiple constant multiplier, multiobjective optimization, cartesian genetic programming, NSGAII

RIV year

2012

Released

27.06.2012

Publisher

Faculty of Mechanical Engineering BUT

Location

Brno

ISBN

978-80-214-4540-6

Book

Proceedings of the 18th International Conference on Soft Computing (MENDEL2012)

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

64

Pages to

69

Pages count

6

Documents

BibTex


@inproceedings{BUT96972,
  author="Jiří {Petrlík} and Lukáš {Sekanina}",
  title="Multiobjective Evolution of Multiple-Constant Multipliers",
  annote="In this paper, we propose a method for multiobjective evolutionary design of
multiple constant multipliers (MCM). MCM is a digital circuit which multiplies
its single input by N constants. MCMs are very good candidates for evolutionary
design, because  a candidate MCM can quickly be evaluated by applying only
a single test vector. In our approach, we utilize Cartesian Genetic Programming
and a controlled elitist non-dominated sorting algorithm. The proposed method is
capable of finding a good trade-off among the chosen criteria.",
  address="Faculty of Mechanical Engineering BUT",
  booktitle="Proceedings of the 18th International Conference on Soft Computing (MENDEL2012)",
  chapter="96972",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Faculty of Mechanical Engineering BUT",
  year="2012",
  month="june",
  pages="64--69",
  publisher="Faculty of Mechanical Engineering BUT",
  type="conference paper"
}