Scalable Genetic Programming by Gene-pool Optimal Mixing and Input-space Entropy-based Building-block Learning

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Virgolin:2017:GECCO,
  author =       "Marco Virgolin and Tanja Alderliesten and 
                 Cees Witteveen and Peter A. N. Bosman",
  title =        "Scalable Genetic Programming by Gene-pool Optimal
                 Mixing and Input-space Entropy-based Building-block
                 Learning",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference",
  series =       "GECCO '17",
  year =         "2017",
  isbn13 =       "978-1-4503-4920-8",
  address =      "Berlin, Germany",
  pages =        "1041--1048",
  size =         "8 pages",
  URL =          "http://doi.acm.org/10.1145/3071178.3071287",
  DOI =          "doi:10.1145/3071178.3071287",
  acmid =        "3071287",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  keywords =     "genetic algorithms, genetic programming, building
                 blocks, linkage learning, optimal mixing, program
                 synthesis",
  month =        "15-19 " # jul,
  notes =        "Also known as \cite{Virgolin:2017:SGP:3071178.3071287}
                 GECCO-2017 A Recombination of the 26th International
                 Conference on Genetic Algorithms (ICGA-2017) and the
                 22nd Annual Genetic Programming Conference (GP-2017)",
}

Genetic Programming entries for Marco Virgolin Tanja Alderliesten Cees Witteveen Peter A N Bosman

Citations