Publication detail

Evolutionary Design of Generic Combinational Multipliers Using Development

BIDLO, M.

Original Title

Evolutionary Design of Generic Combinational Multipliers Using Development

Type

conference paper

Language

English

Original Abstract

Combinational multipliers represent a class of circuits that is usually considered to be hard to design by means of the evolutionary techniques. However, experiments conducted under the previous research demonstrated (1) a suitability of an instruction-based developmental model to design generic multiplier structures using a parametric approach, (2) a possibility of the development of irregular structures by introducing an environment which is considered as an external control of the developmental process - inspired by the structures of conventional multipliers and (3) an adaptation of the developing structures to the different environments by utilizing the properties of the building blocks. These experiments have represented the first case when generic multipliers were designed using an evolutionary algorithm combined with the development. The goal of this paper is to present an improved developmental model working with the simplified building blocks based on the concept of conventional generic multipliers, in particular, adders and basic AND gates. We show that this approach allows us to design generic multiplier structures which exhibit better delay in comparison with the classic multipliers, where adder represents a basic component.

Keywords

Evolutionary algorithm, instruction, program, development, combinational multiplier.

Authors

BIDLO, M.

RIV year

2007

Released

21. 9. 2007

Publisher

Springer Verlag

Location

Berlin

ISBN

978-3-540-74625-6

Book

Evolvable Systems: From Biology to Hardware

Edition

Lecture Notes in Computer Science 4684

Pages from

77

Pages to

88

Pages count

12

BibTex

@inproceedings{BUT30751,
  author="Michal {Bidlo}",
  title="Evolutionary Design of Generic Combinational Multipliers Using Development",
  booktitle="Evolvable Systems: From Biology to Hardware",
  year="2007",
  series="Lecture Notes in Computer Science 4684",
  pages="77--88",
  publisher="Springer Verlag",
  address="Berlin",
  isbn="978-3-540-74625-6"
}