Favorable Biasing of Function Sets Using Run Transferable Libraries

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Conor Ryan and Maarten Keijzer and Mike Cattolico",
  title =        "Favorable Biasing of Function Sets Using Run
                 Transferable Libraries",
  booktitle =    "Genetic Programming Theory and Practice {II}",
  year =         "2004",
  editor =       "Una-May O'Reilly and Tina Yu and Rick L. Riolo and 
                 Bill Worzel",
  chapter =      "7",
  pages =        "103--120",
  address =      "Ann Arbor",
  month =        "13-15 " # may,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, automatically
                 defined functions, run transferable libraries",
  ISBN =         "0-387-23253-2",
  DOI =          "doi:10.1007/0-387-23254-0_7",
  abstract =     "This chapter describes the notion of Run Transferable
                 Libraries(RTLs), libraries of functions which evolve
                 from run to run. RTLs have much in common with standard
                 programming libraries as they provide a suite of
                 functions that can not only be used across several runs
                 on a particular problem, but also to aid in the scaling
                 of a system to more difficult instances of a problem.
                 This is achieved by training a library on a relatively
                 simple instance of a problem before applying it to the
                 more difficult one.

                 The chapter examines the dynamics of the library
                 internals, and how functions compete for dominance of
                 the library. We demonstrate that the libraries tend to
                 converge on a small number of functions, and identify
                 methods to test how well a library is likely to be able
                 to scale.",
  notes =        "part of \cite{oreilly:2004:GPTP2}",

Genetic Programming entries for Conor Ryan Maarten Keijzer Mike Cattolico