GI4GI: Improving Genetic Improvement Fitness Functions

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

@InProceedings{Harman:2015:gi,
  author =       "Mark Harman and Justyna Petke",
  title =        "{GI4GI}: Improving Genetic Improvement Fitness
                 Functions",
  booktitle =    "Genetic Improvement 2015 Workshop",
  year =         "2015",
  editor =       "William B. Langdon and Justyna Petke and 
                 David R. White",
  pages =        "793--794",
  address =      "Madrid",
  publisher_address = "New York, NY, USA",
  month =        "11-15 " # jul,
  organisation = "SIGEvo",
  publisher =    "ACM",
  keywords =     "genetic algorithms, genetic programming, Genetic
                 Improvement",
  isbn13 =       "978-1-4503-3488-4",
  URL =          "http://geneticimprovement2015.com/wp-content/uploads/2015/06/giforgi.pdf",
  URL =          "http://doi.acm.org/10.1145/2739482.2768415",
  DOI =          "doi:10.1145/2739482.2768415",
  size =         "2 pages",
  abstract =     "Genetic improvement (GI) has been successfully used to
                 optimise non-functional properties of software, such as
                 execution time, by automatically manipulating program's
                 source code. Measurement of non-functional properties,
                 however, is a non-trivial task; energy consumption, for
                 instance, is highly dependant on the hardware used.
                 Therefore, we propose the GI4GI framework (and two
                 illustrative applications). GI4GI first applies GI to
                 improve the fitness function for the particular
                 environment within which software is subsequently
                 optimised using traditional GI.",
  notes =        "Slides:
                 http://geneticimprovement2015.com/wp-content/uploads/2015/07/gi4gi.pdf
                 position paper http://geneticimprovement2015.com/",
}

Genetic Programming entries for Mark Harman Justyna Petke

Citations