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Publication detail
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
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" }