Long-Term Evolution of Genetic Programming Populations

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

@InProceedings{Langdon:2017:GECCO,
  author =       "William B. Langdon",
  title =        "Long-Term Evolution of Genetic Programming
                 Populations",
  booktitle =    "GECCO 2017: The Genetic and Evolutionary Computation
                 Conference",
  year =         "2017",
  month =        "15-19 " # jul,
  pages =        "235--236",
  organisation = "SIGEVO",
  address =      "Berlin",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  keywords =     "genetic algorithms, genetic programming, convergence,
                 Long-Term Evolution Experiment LTEE, Extended unbounded
                 evolution: Poster",
  isbn13 =       "978-1-4503-4939-0",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2017_GECCO.pdf",
  URL =          "http://doi.acm.org/10.1145/3067695.3075965",
  DOI =          "doi:10.1145/3067695.3075965",
  acmid =        "3075965",
  size =         "2 pages",
  abstract =     "Evolving binary mux-6 trees for up to 100000
                 generations, during which some programs grow to more
                 than a hundred million nodes, suggests the landscape
                 which GP explores contains some very smooth regions.
                 Although the GP population evolves under crossover, our
                 unbounded GP appears not to evolve building blocks. We
                 do see periods of tens even hundreds of generations
                 where even although each member of the population
                 occupies a different point in the genotypic search
                 space, they are lie at exactly the same point in the
                 phenotypic landscape. Phenotypic convergence whilst
                 retaining genotypic diversity is typical of GP and, we
                 suggest inherent in highly redundant variable length
                 representations.

                 Based on technical report
                 \href{http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_17_05.pdf}
                 {RN/17/05}

                 \href{http://arxiv.org/abs/1703.08481}{arXiv:1703.08481}",
  notes =        "Longer version in UCL Technical report RN/17/05
                 \cite{Langdon:RN1705}.

                 Slides:
                 http://www.cs.ucl.ac.uk/staff/W.Langdon/gggp/langdon_6-mar-2017.pdf
                 Poster:
                 http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2017/ltee_poster.pdf
                 Animations:
                 http://www.cs.ucl.ac.uk/staff/W.Langdon/gggp/#Langdon:2017:GECCO

                 Code
                 http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/GPbmux6.tar.gz

                 Also known as \cite{Langdon:2017:LEG:3067695.3075965}
                 GECCO-2017 A Recombination of the 26th International
                 Conference on Genetic Algorithms (ICGA-2017) and the
                 22nd Annual Genetic Programming Conference (GP-2017)",
}

Genetic Programming entries for William B Langdon

Citations