Optimising Existing Software with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Langdon:2013:ieeeTEC,
  author =       "William B. Langdon and Mark Harman",
  title =        "Optimising Existing Software with Genetic
                 Programming",
  journal =      "IEEE Transactions on Evolutionary Computation",
  year =         "2015",
  volume =       "19",
  month =        feb,
  number =       "1",
  pages =        "118--135",
  keywords =     "genetic algorithms, genetic programming,

                 Software, Search methods, genetic algorithms, SBSE,
                 automatic software re-engineering, Bowtie2GP, multiple
                 objective exploration",
  ISSN =         "1089-778X",
  URL =          "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6733370",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2013_ieeeTEC.pdf",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/bowtie2_supplementary.pdf",
  DOI =          "doi:10.1109/TEVC.2013.2281544",
  size =         "18 pages",
  abstract =     "We show genetic improvement of programs (GIP) can
                 scale by evolving increased performance in a
                 widely-used and highly complex 50000 line system.
                 GISMOE found code that is 70 times faster (on average)
                 and yet is at least as good functionally. Indeed it
                 even gives a small semantic gain.",
  notes =        "Follow up to \cite{Langdon:RN1209}
                 http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/bowtie2gp/gp_sources
                 FTP kit Copy in
                 http://crest.cs.ucl.ac.uk/bowtie2gp/

                 YouTube Video http://youtu.be/Ut0qERy9yZQ

                 Slides etc from 15 October 2013 presentation
                 http://crest.cs.ucl.ac.uk/cow/28/

                 Also known as \cite{6733370}",
}

Genetic Programming entries for William B Langdon Mark Harman

Citations