The Emergence of Useful Bias in Self-focusing Genetic Programming for Software Optimisation

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@InProceedings{Cody-Kenny:2013:SSBSE,
  author =       "Brendan Cody-Kenny and Stephen Barrett",
  title =        "The Emergence of Useful Bias in Self-focusing Genetic
                 Programming for Software Optimisation",
  booktitle =    "Symposium on Search-Based Software Engineering",
  year =         "2013",
  editor =       "Guenther Ruhe and Yuanyuan Zhang",
  volume =       "8084",
  series =       "Lecture Notes in Computer Science",
  pages =        "306--311",
  address =      "Leningrad",
  month =        aug # " 24-26",
  publisher =    "Springer",
  note =         "Graduate Student Track",
  keywords =     "genetic algorithms, genetic programming, SBSE",
  isbn13 =       "978-3-642-39741-7",
  DOI =          "doi:10.1007/978-3-642-39742-4_29",
  size =         "6 pages",
  abstract =     "The use of Genetic Programming (GP) to optimise
                 increasingly large software code has been enabled
                 through biasing the application of GP operators to code
                 areas relevant to the optimisation of interest. As
                 previous approaches have used various forms of static
                 bias applied before the application of GP, we show the
                 emergence of bias learnt within the GP process itself
                 which improves solution finding probability in a
                 similar way. As this variant technique is sensitive to
                 the evolutionary lineage, we argue that it may more
                 accurately provide bias in programs which have
                 undergone heavier modification and thus find solutions
                 addressing more complex issues.",
  notes =        "http://ssbse.org/2013/accepted-papers/",
}

Genetic Programming entries for Brendan Cody-Kenny Stephen Barrett

Citations