Genetic Programming with Multi-layered Population Structure

Created by W.Langdon from gp-bibliography.bib Revision:1.4472

  author =       "Taku Hasegawa and Naoki Mori and Keinosuke Matsumoto",
  title =        "Genetic Programming with Multi-layered Population
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference Companion",
  series =       "GECCO '17",
  year =         "2017",
  isbn13 =       "978-1-4503-4939-0",
  address =      "Berlin, Germany",
  pages =        "229--230",
  size =         "2 pages",
  URL =          "",
  DOI =          "doi:10.1145/3067695.3076048",
  acmid =        "3076048",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  keywords =     "genetic algorithms, genetic programming, local search,
                 population structure",
  month =        "15-19 " # jul,
  abstract =     "This paper focus on the control of building blocks in
                 the population of Genetic Programming (GP). We propose
                 a GP algorithm that employs multi-layered population
                 and searches solutions by using local search and
                 crossover. The computational experiments were carried
                 out by taking several classical Boolean problems as
  notes =        "Also known as \cite{Hasegawa:2017:GPM:3067695.3076048}
                 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 Taku Hasegawa Naoki Mori Keinosuke Matsumoto