Cost-benefit Analysis of Using Heuristics in ACGP

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@InProceedings{Aleshunas:2011:CAoUHiA,
  title =        "Cost-benefit Analysis of Using Heuristics in ACGP",
  author =       "John Aleshunas and Cezary Janikow",
  pages =        "1177--1183",
  booktitle =    "Proceedings of the 2011 IEEE Congress on Evolutionary
                 Computation",
  year =         "2011",
  editor =       "Alice E. Smith",
  month =        "5-8 " # jun,
  address =      "New Orleans, USA",
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CEC.2011.5949749",
  abstract =     "Constrained Genetic Programming (CGP) is a method of
                 searching the Genetic Programming search space
                 non-uniformly, giving preferences to certain subspaces
                 according to some heuristics. Adaptable CGP (ACGP) is a
                 method for discovery of the heuristics. CGP and ACGP
                 have previously demonstrated their capabilities using
                 first-order heuristics: parent-child probabilities.
                 Recently, the same advantage has been shown for
                 second-order heuristics: parent- children
                 probabilities. A natural question to ask is whether we
                 can benefit from extending ACGP with deeper-order
                 heuristics. This paper attempts to answer this question
                 by performing cost-benefit analysis while simulating
                 the higher- order heuristics environment. We show that
                 this method cannot be extended beyond the current
                 second or possibly third-order heuristics without a new
                 method to deal with the sheer number of such
                 deeper-order heuristics.",
  notes =        "CEC2011 sponsored by the IEEE Computational
                 Intelligence Society, and previously sponsored by the
                 EPS and the IET.",
}

Genetic Programming entries for John Aleshunas Cezary Z Janikow

Citations