Multiobjective evolution of approximate multiple constant multipliers

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Jiri Petrlik and Lukas Sekanina",
  title =        "Multiobjective evolution of approximate multiple
                 constant multipliers",
  booktitle =    "16th IEEE International Symposium on Design and
                 Diagnostics of Electronic Circuits Systems (DDECS
  year =         "2013",
  month =        "8-10 " # apr,
  pages =        "116--119",
  keywords =     "genetic algorithms, genetic programming, adders,
                 circuit optimisation, logic design, multiplying
                 circuits, MCM, adders, approximate multiple constant
                 multiplier design, delay minimisation, digital circuit,
                 functional equivalence, multiobjective Cartesian
                 genetic programming, multiobjective evolution,
  DOI =          "doi:10.1109/DDECS.2013.6549800",
  abstract =     "Multiple constant multiplier (MCM) is a digital
                 circuit which multiplies its single input by N
                 constants. As MCMs are composed of adders and shifters,
                 their implementation cost is relatively low. In this
                 paper, we propose a method for design of approximate
                 multiple constant multipliers where the requirement on
                 functional equivalence between the specification and
                 implementation is relaxed in order to further reduce
                 the area on a chip or minimise delay. The proposed
                 method is based on multiobjective Cartesian Genetic
                 Programming. It provides many trade-off solutions among
                 accuracy, area and delay.",
  notes =        "Also known as \cite{6549800}",

Genetic Programming entries for Jiri Petrlik Lukas Sekanina