Phylogenetic trees using evolutionary search: Initial progress in extending gaphyl to work with genetic data

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Clare Bates Congdon and Kevin J. Septor",
  title =        "Phylogenetic trees using evolutionary search: Initial
                 progress in extending gaphyl to work with genetic
  booktitle =    "Proceedings of the 2003 Congress on Evolutionary
                 Computation CEC2003",
  editor =       "Ruhul Sarker and Robert Reynolds and 
                 Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and 
                 Tom Gedeon",
  pages =        "320--326",
  year =         "2003",
  publisher =    "IEEE Press",
  address =      "Canberra",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "8-12 " # dec,
  organisation = "IEEE Neural Network Council (NNC), Engineers Australia
                 (IEAust), Evolutionary Programming Society (EPS),
                 Institution of Electrical Engineers (IEE)",
  keywords =     "genetic algorithms, genetic programming, Application
                 software, Computer science, DNA, Drives, Educational
                 institutions, Evolutionary computation, Genetics,
                 Organisms, Phylogeny, Sequences, biology computing,
                 evolutionary computation, genetics, tree searching,
                 trees (mathematics), Gaphyl, Wagner parsimony, binary
                 attributes, datasets, evolutionary algorithm
                 application, evolutionary relationships, evolutionary
                 search, exhaustive search, genetic data, heuristic
                 search method, phylogenetic software package,
                 phylogenetic trees, phylogenetic work, tree
  ISBN =         "0-7803-7804-0",
  DOI =          "doi:10.1109/CEC.2003.1299592",
  abstract =     "Gaphyl is an application of evolutionary algorithms to
                 phylogenetics, an approach used by biologists to
                 investigate evolutionary relationships among organisms.
                 For datasets larger than 20-30 species, exhaustive
                 search is not practical in this domain. Gaphyl uses an
                 evolutionary search mechanism to search the space of
                 possible phylogenetic trees, in an attempt to find the
                 most plausible evolutionary hypotheses, while typical
                 phylogenetic software packages use heuristic search
                 methods. In previous work, Gaphyl has been shown to be
                 a promising approach for searching for phylogentic
                 trees using data with binary attributes and Wagner
                 parsimony to evaluate the trees. In the work reported
                 here, Gaphyl is extended to work with genetic data.
                 Initial results with this extension further suggest
                 that evolutionary search is a promising approach for
                 phylogenetic work.",
  notes =        "CEC 2003 - A joint meeting of the IEEE, the IEAust,
                 the EPS, and the IEE.",

Genetic Programming entries for Clare Bates Congdon Kevin J Septor