Evolutionary Computing in Approximate Circuit Design and Optimization
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gp-bibliography.bib Revision:1.7954
- @InProceedings{Sekanina:2015:WAPCO,
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author = "Lukas Sekanina and Zdenek Vasicek",
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title = "Evolutionary Computing in Approximate Circuit Design
and Optimization",
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booktitle = "1st Workshop On Approximate Computing, WAPCO 2015",
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year = "2015",
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editor = "Nikolaos Bellas and Georgios Karakonstantis and
Costas Bekas",
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address = "Amsterdam, Holland",
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month = "19 " # jan,
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keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming, EHW, NSGA-II",
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URL = "http://wapco.inf.uth.gr/papers/SESSION1/WAPCO_1_5.pdf",
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size = "6 pages",
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abstract = "In this paper, we survey the methods that have been
proposed to functional approximation of digital
circuits. The main focus is on evolutionary computing,
particularly Cartesian genetic programming (CGP), which
can provide, in an automated manner, very good
compromises between key circuit parameters. This is
demonstrated in a case study -- evolutionary
approximation of an 8-bit multiplier.",
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notes = "slides
http://wapco.inf.uth.gr/presentations/SESSION1/WAPCO_1_5.pdf
Hypothesis:Much better approximations can be discovered
than conventional methods can provide. In conjunction
with HiPEAC 2015 http://wapco.inf.uth.gr",
- }
Genetic Programming entries for
Lukas Sekanina
Zdenek Vasicek
Citations