Benchmarking Pareto archiving heuristics in the presence of concept drift: diversity versus age

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@InProceedings{Atwater:2013:GECCO,
  author =       "Aaron Atwater and Malcolm I. Heywood",
  title =        "Benchmarking {Pareto} archiving heuristics in the
                 presence of concept drift: diversity versus age",
  booktitle =    "GECCO '13: Proceeding of the fifteenth annual
                 conference on Genetic and evolutionary computation
                 conference",
  year =         "2013",
  editor =       "Christian Blum and Enrique Alba and Anne Auger and 
                 Jaume Bacardit and Josh Bongard and Juergen Branke and 
                 Nicolas Bredeche and Dimo Brockhoff and 
                 Francisco Chicano and Alan Dorin and Rene Doursat and 
                 Aniko Ekart and Tobias Friedrich and Mario Giacobini and 
                 Mark Harman and Hitoshi Iba and Christian Igel and 
                 Thomas Jansen and Tim Kovacs and Taras Kowaliw and 
                 Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and 
                 John McCall and Alberto Moraglio and 
                 Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and 
                 Gustavo Olague and Yew-Soon Ong and 
                 Michael E. Palmer and Gisele Lobo Pappa and 
                 Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and 
                 Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and 
                 Daniel Tauritz and Leonardo Vanneschi",
  isbn13 =       "978-1-4503-1963-8",
  pages =        "885--892",
  keywords =     "genetic algorithms, genetic programming",
  month =        "6-10 " # jul,
  organisation = "SIGEVO",
  address =      "Amsterdam, The Netherlands",
  DOI =          "doi:10.1145/2463372.2463489",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "A framework for coevolving genetic programming teams
                 with Pareto archiving is benchmarked under two
                 representative tasks for non-stationary streaming
                 environments. The specific interest lies in determining
                 the relative contribution of diversity and aging
                 heuristics to the maintenance of the Pareto archive.
                 Pareto archiving, in turn, is responsible for targeting
                 data (and therefore champion individuals) as
                 appropriate for retention beyond the limiting scope of
                 the sliding window interface to the data stream.
                 Fitness sharing alone is considered most effective
                 under a non-stationary stream characterised by
                 continuous (incremental) changes. Fitness sharing with
                 an aging heuristic acts as the preferred heuristic when
                 the stream is characterised by non-stationary stepwise
                 changes.",
  notes =        "Also known as \cite{2463489} GECCO-2013 A joint
                 meeting of the twenty second international conference
                 on genetic algorithms (ICGA-2013) and the eighteenth
                 annual genetic programming conference (GP-2013)",
}

Genetic Programming entries for Aaron Atwater Malcolm Heywood

Citations