Greedy Semantic Local Search for Small Solutions

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

@InProceedings{Ffrancon:2015:GECCOcomp,
  author =       "Robyn Ffrancon and Marc Schoenauer",
  title =        "Greedy Semantic Local Search for Small Solutions",
  booktitle =    "GECCO 2015 Semantic Methods in Genetic Programming
                 (SMGP'15) Workshop",
  year =         "2015",
  editor =       "Colin Johnson and Krzysztof Krawiec and 
                 Alberto Moraglio and Michael O'Neill",
  isbn13 =       "978-1-4503-3488-4",
  keywords =     "genetic algorithms, genetic programming, Semantic
                 Methods",
  pages =        "1293--1300",
  month =        "11-15 " # jul,
  organisation = "SIGEVO",
  address =      "Madrid, Spain",
  URL =          "https://hal.inria.fr/UMR8623/hal-01169074v1",
  URL =          "http://doi.acm.org/10.1145/2739482.2768504",
  DOI =          "doi:10.1145/2739482.2768504",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Semantic Backpropagation (SB) was introduced in GP so
                 as to take into account the semantics of a GP tree at
                 all intermediate states of the program execution, i.e.,
                 at each node of the tree. The idea is to compute the
                 optimal should-be values each subtree should return,
                 whilst assuming that the rest of the tree is unchanged,
                 and to choose a subtree that matches as well as
                 possible these target values. A single tree is evolved
                 by iteratively replacing one of its nodes with the best
                 subtree from a static library according to this local
                 fitness, with tree size as a secondary criterion.
                 Previous results for standard Boolean GP benchmarks
                 that have been obtained by the authors with another
                 variant of SB are improved in term of tree size. SB is
                 then applied for the first time to categorical GP
                 benchmarks, and outperforms all known results to date
                 for three variable finite algebras.",
  notes =        "Also known as \cite{2768504} Distributed at
                 GECCO-2015.",
}

Genetic Programming entries for Robyn Ffrancon Marc Schoenauer

Citations