Circuit Approximation Using Single and Multi-Objective Cartesian GP

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InProceedings{Vasicek:2015:EuroGP,
  author =       "Zdenek Vasicek and Lukas Sekanina",
  title =        "Circuit Approximation Using Single and Multi-Objective
                 {Cartesian GP}",
  booktitle =    "18th European Conference on Genetic Programming",
  year =         "2015",
  editor =       "Penousal Machado and Malcolm I. Heywood and 
                 James McDermott and Mauro Castelli and 
                 Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim",
  series =       "LNCS",
  volume =       "9025",
  publisher =    "Springer",
  pages =        "217--229",
  address =      "Copenhagen",
  month =        "8-10 " # apr,
  organisation = "EvoStar",
  note =         "Best Paper",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming, Evolutionary design, Approximate
                 computing, Approximate circuits, Multi-objective
                 approach: Poster",
  isbn13 =       "978-3-319-16500-4",
  DOI =          "doi:10.1007/978-3-319-16501-1_18",
  abstract =     "In this paper, the approximate circuit design problem
                 is formulated as a multi-objective optimisation problem
                 in which the circuit error and power consumption are
                 conflicting design objectives. We compare
                 multi-objective and single-objective Cartesian genetic
                 programming in the task of parallel adder and
                 multiplier approximation. It is analysed how the
                 setting of the methods, formulating the problem as
                 multi-objective or single-objective, and constraining
                 the execution time can influence the quality of
                 results. One of the conclusions is that the
                 multi-objective approach is useful if the number of
                 allowed evaluations is low. When more time is
                 available, the single-objective approach becomes more
                 efficient.",
  notes =        "Part of \cite{Machado:2015:GP} EuroGP'2015 held in
                 conjunction with EvoCOP2015, EvoMusArt2015 and
                 EvoApplications2015",
}

Genetic Programming entries for Zdenek Vasicek Lukas Sekanina

Citations