Gene Duplication to Enable Genetic Programming to Concurrently Evolve Both the Architecture and Work-Performing Steps of a Computer Program

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

@InProceedings{koza:1995:gendup,
  author =       "John R. Koza",
  title =        "Gene Duplication to Enable Genetic Programming to
                 Concurrently Evolve Both the Architecture and
                 Work-Performing Steps of a Computer Program",
  booktitle =    "IJCAI-95 Proceedings of the Fourteenth International
                 Joint Conference on Artificial Intelligence",
  year =         "1995",
  volume =       "1",
  pages =        "734--740",
  address =      "Montreal, Quebec, Canada",
  publisher_address = "San Francisco, CA, USA",
  month =        "20-25 " # aug,
  organisation = "IJCAII,AAAI,CSCSI",
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming, ADF",
  ISBN =         "1-55860-363-8",
  URL =          "http://www.genetic-programming.com/jkpdf/ijcai1995.pdf",
  size =         "8 pages",
  abstract =     "Susumu Ohno's provocative book Evolution by Gene
                 Duplication proposed that the creation of new proteins
                 in nature (and hence new structures and new behaviours
                 in living things) begins with a gene duplication and
                 that gene duplication is {"}the major force of
                 evolution.{"} This paper describes six new
                 architecture-altering operations for genetic
                 programming that are patterned after the
                 naturally-occurring chromosomal operations of gene
                 duplication and gene deletion. When these new
                 operations are included in a run of genetic
                 programming, genetic programming can dynamically
                 change, during the run, the architecture of a
                 multi-part program consisting of a main program and a
                 set of hierarchically-called subprograms. These
                 on-the-fly architectural changes occur while genetic
                 programming is concurrently evolving the
                 work-performing steps of the main program and the
                 hierarchically-called subprograms. The new operations
                 can be interpreted as an automated way to change the
                 representation of a problem while solving the problem.
                 Equivalently, these operations can be viewed as an
                 automated way to decompose a problem into an
                 non-pre-specified number of subproblems of
                 non-pre-specified dimensionality; solve the
                 subproblems; and assemble the solutions of the
                 subproblems into a solution of the overall problem.
                 These operations can also be interpreted as providing
                 an automated way to specialise and generalise.",
}

Genetic Programming entries for John Koza

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