Improved Directed Acyclic Graph Evaluation and the Combine Operator in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{ehrenburg:1996:iDAGcGP,
  author =       "Herman Ehrenburg",
  title =        "Improved Directed Acyclic Graph Evaluation and the
                 Combine Operator in Genetic Programming",
  booktitle =    "Genetic Programming 1996: Proceedings of the First
                 Annual Conference",
  editor =       "John R. Koza and David E. Goldberg and 
                 David B. Fogel and Rick L. Riolo",
  year =         "1996",
  month =        "28--31 " # jul,
  keywords =     "genetic algorithms, genetic programming, DAG",
  pages =        "285--291",
  address =      "Stanford University, CA, USA",
  publisher =    "MIT Press",
  ISBN =         "0-262-61127-9",
  URL =          "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap36.pdf",
  URL =          "http://cognet.mit.edu/library/books/view?isbn=0262611279",
  size =         "6 pages",
  abstract =     "The use of a directed acyclic graph (DAG) to represent
                 a population in genetic programming offers several
                 advantages, only one of which is the efficient use of
                 space. We improve on existing methods to evaluate a DAG
                 and offer two new ways of evaluating a population. The
                 first method uses a linked list and a negligible amount
                 of space. In the second method, each node is evaluated
                 only once on all fitness cases and the results are
                 cached. We also introduce two genetic operators in
                 connection to the use of a DAG. The first is a simpler
                 alternative to crossover. The second is a
                 context-preserving genetic operators based on the
                 building block hypothesis, which accurate combined two
                 similar trees.",
  notes =        "GP-96

                 'combine' genetic operator, ancestor information.

                 p289 Does not 'make use of the 32-fold speedup be
                 evaluating 32 fitness cases in parallel'. p290 'Martin
                 C. Martin' 'CMU 32-parallelization trick'.",
}

Genetic Programming entries for Herman Ehrenburg

Citations