mpEAd: Multi-Population EA Diagrams

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Sebastian Lenartowicz and Mark Wineberg",
  title =        "{mpEAd:} Multi-Population EA Diagrams",
  booktitle =    "GECCO '16 Companion: Proceedings of the Companion
                 Publication of the 2016 Annual Conference on Genetic
                 and Evolutionary Computation",
  year =         "2016",
  editor =       "Tobias Friedrich and Frank Neumann and 
                 Andrew M. Sutton and Martin Middendorf and Xiaodong Li and 
                 Emma Hart and Mengjie Zhang and Youhei Akimoto and 
                 Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and 
                 Daniele Loiacono and Julian Togelius and 
                 Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and 
                 Faustino Gomez and Carlos M. Fonseca and 
                 Heike Trautmann and Alberto Moraglio and William F. Punch and 
                 Krzysztof Krawiec and Zdenek Vasicek and 
                 Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and 
                 Boris Naujoks and Enrique Alba and Gabriela Ochoa and 
                 Simon Poulding and Dirk Sudholt and Timo Koetzing",
  pages =        "93--94",
  month =        "20-24 " # jul,
  organisation = "SIGEVO",
  address =      "Denver, USA",
  publisher =    "ACM",
  keywords =     "genetic algorithms, genetic programming: Poster",
  publisher_address = "New York, NY, USA",
  isbn13 =       "978-1-4503-4323-7",
  DOI =          "doi:10.1145/2908961.2909011",
  abstract =     "Multi-population evolutionary algorithms are, by
                 nature, highly complex and difficult to describe. Even
                 two populations working in concert (or opposition)
                 present a myriad of potential configurations that are
                 often difficult to relate using text alone. Little
                 effort has been made, however, to depict these kinds of
                 systems, relying solely on the simple structural
                 connections (related using ad hoc diagrams) between
                 populations and often leaving out crucial details. In
                 this paper, we propose a notation and accompanying
                 formalism for consistently and powerfully depicting
                 these structures and the relationships within them in
                 an intuitive and consistent way.",
  notes =        "Distributed at GECCO-2016.",

Genetic Programming entries for Sebastian Lenartowicz Mark Wineberg