Machine Learning with Genetic Programming: Some Challenges

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

@Unpublished{McKay:2003:apsies,
  author =       "R. I. (Bob) McKay",
  howpublished = "Asia-Pacific Symposium on Intelligent and Evolutionary
                 Systems",
  address =      "Kitakyushu, Japan",
  month =        nov,
  note =         "Keynote Address",
  title =        "Machine Learning with Genetic Programming: Some
                 Challenges",
  URL =          "http://sc.snu.ac.kr/PAPERS/aj03.pdf",
  year =         "2003",
  keywords =     "genetic algorithms, genetic programming, Search Bias,
                 Hierarchical, Developmental, Genotype-Phenotype
                 mapping",
  size =         "6 pages",
  abstract =     "Genetic Programming has achieved a great deal in the
                 twenty or so years since its inception. Nevertheless,
                 there remain a wide range of challenges and open
                 questions: what form do the building blocks of good
                 programs take; how may they be identified and promoted?
                 Particularly in the light of Daida's work on the
                 structural restrictions of GP, there are critical
                 questions on the appropriate representations for GP,
                 and the possibility of non-traditional genetic
                 operators. Finally, it is clear that the operation of
                 GP systems still differs in important ways from that of
                 biological systems, so there is opportunity for further
                 inspiration from biological systems.",
}

Genetic Programming entries for R I (Bob) McKay

Citations