Challenges in Open-Ended Problem Solving with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InCollection{daida:2005:GPTP,
  author =       "Jason Daida",
  title =        "Challenges in Open-Ended Problem Solving with Genetic
                 Programming",
  booktitle =    "Genetic Programming Theory and Practice {III}",
  year =         "2005",
  editor =       "Tina Yu and Rick L. Riolo and Bill Worzel",
  volume =       "9",
  series =       "Genetic Programming",
  chapter =      "17",
  pages =        "259--274",
  address =      "Ann Arbor",
  month =        "12-14 " # may,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, open-ended
                 problem solving, McMaster Problem Solving",
  ISBN =         "0-387-28110-X",
  DOI =          "doi:10.1007/0-387-28111-8_17",
  size =         "16 pages",
  abstract =     "how GP might be integrated as a tool into the human
                 context of discovery. To accomplish this, a comparison
                 is made between GP and a well-regarded strategy in
                 open-ended problem solving. The comparison not only
                 indicates which tasks and skills are likely to be
                 complemented by GP, but also the kinds of problems that
                 may or may not be suited for it. Furthermore, the
                 comparison indicates directions in research that may
                 need to be taken for GP to be further leveraged as a
                 tool that assists discovery.",
  notes =        "part of \cite{yu:2005:GPTP} Published Jan 2006 after
                 the workshop",
}

Genetic Programming entries for Jason M Daida

Citations