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A neural net based Self Organising Scheduling Algorithm
Dep. of Applied Electronics.
1990 (English)In: Proceedings of the European Design Automation Conference, IEEE , 1990, 136-140 p.Conference paper, Published paper (Refereed)
Abstract [en]

Scheduling is a crucial task in behavioural synthesis and aNp-hard optimisation problem. Neural net computationparadigms bring potential for efficient solutions to suchproblems. This paper presents a new scheduling algorithmbased on Kohonen’s rule for self organisation. The algorithmhas an inherent hill climbing mechanism, copeswith a comprehensive set of constraints and can be implementedon massively parallel structures. Its performanceon well known benchmark examples, presented in the paper,is on par with the best reported.

Place, publisher, year, edition, pages
IEEE , 1990. 136-140 p.
Keyword [en]
Behavioural Synthesis, Neural Nets, Optimisation Techniques, Scheduling, Self Organisation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-73053DOI: 10.1109/EDAC.1990.136634ISBN: 0-8186-2024-2 (print)OAI: oai:DiVA.org:kth-73053DiVA: diva2:488504
Conference
The European Design Automation Conference, 12-15 Mar1990, EDAC
Note
QC 20120216Available from: 2012-02-17 Created: 2012-02-01 Last updated: 2012-02-17Bibliographically approved

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fulltext(507 kB)142 downloads
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Hemani, Ahmed

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf