Evolutionary Computing in Approximate Circuit Design and Optimization

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Lukas Sekanina and Zdenek Vasicek",
  title =        "Evolutionary Computing in Approximate Circuit Design
                 and Optimization",
  booktitle =    "1st Workshop On Approximate Computing, WAPCO 2015",
  year =         "2015",
  editor =       "Nikolaos Bellas and Georgios Karakonstantis and 
                 Costas Bekas",
  address =      "Amsterdam, Holland",
  month =        "19 " # jan,
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming, EHW, NSGA-II",
  URL =          "http://wapco.inf.uth.gr/papers/SESSION1/WAPCO_1_5.pdf",
  size =         "6 pages",
  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.",
  notes =        "slides
                 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