Evolving Benchmarks

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

@InProceedings{langdon:2005:CECb2p,
  author =       "W. B. Langdon",
  title =        "Evolving Benchmarks",
  booktitle =    "Proceedings of the Seventeenth Belgium/Netherlands
                 Conference on Artificial Intelligence (BNAIC 2005)",
  year =         "2005",
  editor =       "Katja Verbeeck and Karl Tuyls and Ann Nowe and 
                 Bernard Manderick and Bart Kuijpers",
  pages =        "365--366",
  address =      "Koninklijke Vlaamse Academie van Belgie voor
                 Wetenschappen en Kunsten, Brussel, Belgium",
  month =        "17-18 " # oct,
  organisation = "BNVKI, Dutch and the Belgian AI Association",
  publisher =    "Royal Flemish Academy of Belgium for Science and Arts,
                 KVAB",
  keywords =     "genetic algorithms, genetic programming, algorithm
                 analysis, particle swarm optimisation, differential
                 evolution",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/wbl_bnaic2005.pdf",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/wbl_bnaic2005.ps.gz",
  size =         "2 pages",
  abstract =     "Genetic programming (GP) is used to evolve global
                 optimisation test problems. These automatically
                 generated performance metrics are used to show
                 strengths and weaknesses of Particle Swarm Optimization
                 (PSO) and Differential Evolution (DE). Knowledge gained
                 will help when choosing maximisers (and their tuning
                 parameters) and in research into new search tools
                 (which might include hyperheuristics).",
  notes =        "2 page summary of \cite{langdon:2005:CECb}
                 http://como.vub.ac.be/bnaic2005/

                 Described in BNVKI newsletter 22(6) p135.

                 ",
}

Genetic Programming entries for William B Langdon

Citations