Autoconstructive evolution for structural problems

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@InProceedings{Harrington:2012:GECCOcomp,
  author =       "Kyle I. Harrington and Lee Spector and 
                 Jordan B. Pollack and Una-May O'Reilly",
  title =        "Autoconstructive evolution for structural problems",
  booktitle =    "GECCO 2012 2nd Workshop on Evolutionary Computation
                 for the Automated Design of Algorithms",
  year =         "2012",
  editor =       "Gisele L. Pappa and John Woodward and 
                 Matthew R. Hyde and Jerry Swan",
  isbn13 =       "978-1-4503-1178-6",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "75--82",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Philadelphia, Pennsylvania, USA",
  DOI =          "doi:10.1145/2330784.2330797",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "While most hyper-heuristics search for a heuristic
                 that is later used to solve classes of problems,
                 autoconstructive evolution represents an alternative
                 which simultaneously searches both heuristic and
                 solution space. In this study we contrast
                 autoconstructive evolution, in which intergenerational
                 variation is accomplished by the evolving programs
                 themselves, with a genetic programming system, PushGP,
                 to understand the dynamics of this hybrid approach. A
                 problem size scaling analysis of these genetic
                 programming techniques is performed on structural
                 problems. These problems involve fewer domain-specific
                 features than most model problems while maintaining
                 core features representative of program search. We use
                 two such problems, Order and Majority, to study
                 autoconstructive evolution in the Push programming
                 language.",
  notes =        "Also known as \cite{2330797} Distributed at
                 GECCO-2012.

                 ACM Order Number 910122.",
}

Genetic Programming entries for Kyle Ira Harrington Lee Spector Jordan B Pollack Una-May O'Reilly

Citations