Evolutionary Approximation of Software for Embedded Systems: Median Function

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Mrazek:2015:gi,
  author =       "Vojtech Mrazek and Zdenek Vasicek and Lukas Sekanina",
  title =        "Evolutionary Approximation of Software for Embedded
                 Systems: Median Function",
  booktitle =    "Genetic Improvement 2015 Workshop",
  year =         "2015",
  editor =       "William B. Langdon and Justyna Petke and 
                 David R. White",
  pages =        "795--801",
  address =      "Madrid",
  publisher_address = "New York, NY, USA",
  month =        "11-15 " # jul,
  organisation = "SIGEvo",
  publisher =    "ACM",
  keywords =     "genetic algorithms, genetic programming, Genetic
                 Improvement, cartesian genetic programming",
  isbn13 =       "978-1-4503-3488-4",
  URL =          "http://geneticimprovement2015.com/wp-content/uploads/2015/05/evolutionary_approximation_of_software_for_embedded_systems_median_function.pdf",
  URL =          "http://doi.acm.org/10.1145/2739482.2768416",
  DOI =          "doi:10.1145/2739482.2768416",
  size =         "8 pages",
  abstract =     "This paper deals with genetic programming-based
                 improvement of non-functional properties of programs
                 intended for low-cost microcontrollers. As the
                 objective is to significantly reduce power consumption
                 and execution time, the approximate computing scenario
                 is considered in which occasional errors in results are
                 acceptable. The method is based on Cartesian genetic
                 programming and evaluated in the task of approximation
                 of 9-input and 25-input median function. Resulting
                 approximations show a significant improvement in the
                 execution time and power consumption with respect to
                 the accurate median function while the observed errors
                 are moderate.",
  notes =        "http://geneticimprovement2015.com/

                 Also known as \cite{2768416} Distributed at
                 GECCO-2015.",
}

Genetic Programming entries for Vojtech Mrazek Zdenek Vasicek Lukas Sekanina

Citations