Genetic Improvement of Programs

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

@InProceedings{Langdon:2012:mendel,
  author =       "W. B. Langdon",
  title =        "Genetic Improvement of Programs",
  booktitle =    "18th International Conference on Soft Computing,
                 MENDEL 2012",
  editor =       "Radomil Matousek",
  year =         "2012",
  address =      "Brno, Czech Republic",
  edition =      "2nd",
  month =        "27-29 " # jun,
  publisher =    "Brno University of Technology",
  note =         "Invited keynote",
  keywords =     "genetic algorithms, genetic programming, GISMOE,
                 evolutionary computing, software engineering,
                 refactoring, software maintenance, automatic software
                 re-engineering, SBSE, GPGPU, CUDA, nVidia GPU,
                 automatic programming, BNF grammar GP",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2012_mendel.pdf",
  size =         "6 pages",
  abstract =     "Evolutionary computing, particularly genetic
                 programming, can optimise software and software
                 engineering, including evolving test benchmarks, search
                 meta-heuristics, protocols, composing web services,
                 improving hashing and garbage collection, redundant
                 programming and even automatically fixing bugs. Often
                 there are many potential ways to balance functionality
                 with resource consumption. But a human programmer
                 cannot try them all. Also the optimal trade off may be
                 different on each hardware platform and it could vary
                 over time or as usage changes. It may be genetic
                 programming can automatically suggest different trade
                 offs for each new market.",
  notes =        "In second edition.
                 http://www.mendel-conference.org/?link=invited12",
}

Genetic Programming entries for William B Langdon

Citations