loading...
An Empirical Comparison of Evolutionary Algorithms for Evolvable Hardware
Chicago, Illinois July 09-July 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EH.2003.12176462003 NASA/DoD Conference on Evolvable ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Garrison W. Greenwood, Edward Ramsden, Saima Ahmed, "An Empirical Comparison of Evolutionary Algorithms for Evolvable Hardware," Evolvable Hardware, NASA/DoD Conference on, pp. 59, 2003 NASA/DoD Conference on Evolvable Hardware (EH'03), 2003.
 
 
BibTex
x
 
@article{ 10.1109/EH.2003.1217646,
author = {Garrison W. Greenwood and Edward Ramsden and Saima Ahmed},
title = {An Empirical Comparison of Evolutionary Algorithms for Evolvable Hardware},
journal ={Evolvable Hardware, NASA/DoD Conference on},
volume = {0},
year = {2003},
isbn = {0-7695-1977-6},
pages = {59},
doi = {http://doi.ieeecomputersociety.org/10.1109/EH.2003.1217646},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Evolvable Hardware, NASA/DoD Conference on
TI - An Empirical Comparison of Evolutionary Algorithms for Evolvable Hardware
SN - 0-7695-1977-6
SP
EP
A1 - Garrison W. Greenwood,
A1 - Edward Ramsden,
A1 - Saima Ahmed,
PY - 2003
KW - null
VL - 0
JA - Evolvable Hardware, NASA/DoD Conference on
ER -
 
Garrison W. Greenwood, Portland State University
Edward Ramsden, Lattice Semiconducto
Saima Ahmed, Portland State University
Reconfigurability allows systems to adapt to changing operational environments. However, the time it takes to reconfigure cannot be ignored. Indeed, some critical systems must finish any reconfiguration within tight timeframes. This raises an important question: can an evolutionary algorithm designed to quickly search for the best initial configuration also be able to quickly search for a good reconfiguration? This paper reports the results of a study designed to identify those evolutionary algorithm features that help minimize the search time for reconfigurations of previously configured hardware. An active, analog filter reconfiguration problem is used as a test case.
Citation:
Garrison W. Greenwood, Edward Ramsden, Saima Ahmed, "An Empirical Comparison of Evolutionary Algorithms for Evolvable Hardware," eh, pp.59, 2003 NASA/DoD Conference on Evolvable Hardware (EH'03), 2003
Usage of this product signifies your acceptance of the Terms of Use.