On Area Minimization of Complex Combinational Circuits Using Cartesian Genetic Programming
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU101751" target="_blank" >RIV/00216305:26230/12:PU101751 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CEC.2012.6256649" target="_blank" >http://dx.doi.org/10.1109/CEC.2012.6256649</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2012.6256649" target="_blank" >10.1109/CEC.2012.6256649</a>
Alternative languages
Result language
angličtina
Original language name
On Area Minimization of Complex Combinational Circuits Using Cartesian Genetic Programming
Original language description
The paper deals with the evolutionary post synthesis optimization of complex combinational circuits with the aim of reducing the area on a chip as much as possible. In order to optimize complex circuits, Cartesian Genetic Programming (CGP) is employed where the fitness function is based on a formal equivalence checking algorithm rather than evaluating all possible input assignments. The standard selection strategy of CGP is modified to be more explorative and so agile in very rugged fitness landscapes.It was shown on the LGSynth93 benchmark circuits that the modified selection strategy leads to more compact circuits in roughly 50% cases. The average area improvement is 24% with respect to the results of conventional synthesis. Delay of optimized circuits was also analyzed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2012 IEEE World Congress on Computational Intelligence
ISBN
978-1-4673-1508-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
2379-2386
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
CA
Event location
Brisbane
Event date
Jun 10, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000312859303081