Exploring Alternative Operators and Search Strategies in Genetic Programming   [GP]

by

Harries, K. and Smith, P.

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Info: Genetic Programming 1997: Proceedings of the Second Annual Conference (Conference proceedings), 1997, p. 147-155
Keywords:Genetic Programming, Genetic Algorithms
Notes:
GP-97 even-4-parity, even-5-parity, artificial ant (Santa Fe trail), regression of x^4-3x^3+9x^2-27x Depth-based crossover (depth fair, SameDepths and DiffDepths) NoBias and combinations of crossovers. SameDepths does badly on even-5-parity otherwise crossovers similar to each other. 58,100 runs Several different types of mutation (and combination of mutation) used as stochastic "hill climbers". Steady state, tournament size=2, limit of 1000 nodes, kinnear's Hoist and mutation both at 1 percent. GP mutation generally good hill climber, small and self-crossover generally awful. See sec 4 discussion. )
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BibTex:
@InProceedings{Harries:1997:eaossGP,
  author =       "Kim Harries and Peter Smith",
  title =        "Exploring Alternative Operators and Search Strategies
                 in Genetic Programming",
  booktitle =    "Genetic Programming 1997: Proceedings of the Second
                 Annual Conference",
  editor =       "John R. Koza and Kalyanmoy Deb and Marco Dorigo and
                 David B. Fogel and Max Garzon and Hitoshi Iba and Rick
                 L. Riolo",
  year =         "1997",
  month =        "13-16 " # jul,
  keywords =     "Genetic Programming, Genetic Algorithms",
  pages =        "147--155",
  address =      "Stanford University, CA, USA",
  publisher_address = "San Francisco, CA, USA",
  publisher =    "Morgan Kaufmann",
  notes =        "GP-97

                 even-4-parity, even-5-parity, artificial ant (Santa Fe
                 trail), regression of x^4-3x^3+9x^2-27x Depth-based
                 crossover (depth fair, SameDepths and DiffDepths)
                 NoBias and combinations of crossovers. SameDepths does
                 badly on even-5-parity otherwise crossovers similar to
                 each other. 58,100 runs

                 Several different types of mutation (and combination of
                 mutation) used as stochastic {"}hill
                 climbers{"}.

                 Steady state, tournament size=2, limit of 1000 nodes,
                 kinnear's Hoist and mutation both at 1 percent.

                 GP mutation generally good hill climber, small and
                 self-crossover generally awful. See sec 4 discussion.
                 )",
}