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Genetic algorithm based state assignment for power and area optimisation.

Xia, Yinshui and Almaini, A E A (2002) Genetic algorithm based state assignment for power and area optimisation. IEE Proceedings - Computers and digital techniques, 149 (4). pp. 128-133. ISSN 1350 2387

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Abstract/Description

The use of assignment to minimise power dissipation and area for finite-state machines is computationally difficult. Most published results show that the reduction of switching activity often trades with area penalty. Two cost functions are introduced and a genetic algorithm is used. to optimise the cost functions. Experimental results show a significant reduction of switching activity without area penalty or with smaller area penalty than previous publications.

A novel approach is presented utilising genetic algorithms, based on the Darwinian principle of survival of the fittest, to find efficient state assignment that leads to significant saving in power without the usual silicon area penalty or with much reduced area depending on the designer's elicited criteria.

Item Type: Article
Print ISSN: 1350 2387
Electronic ISSN: 1359-7027
Uncontrolled Keywords: power saving; genetic algorithms; state assignment; silicon area; computer programming; electronic engineering;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Engineering and the Built Environment
Dewey Decimal Subjects: 600 Technology > 620 Engineering > 621 Electronic & mechanical engineering
000 Computer science, information & general works > 000 Computer science, knowledge & systems > 005 Computer programming, programs & data
Library of Congress Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics > QA76 Computer software
Item ID: 13
Depositing User: Users 2 not found.
Date Deposited: 19 Oct 2007 14:12
Last Modified: 24 Oct 2014 11:56
URI: http://researchrepository.napier.ac.uk/id/eprint/13

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