The Speciating Island Model: An alternative parallel evolutionary algorithm

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  author =       "Steven Gustafson and Edmund K. Burke",
  title =        "The Speciating Island Model: An alternative parallel
                 evolutionary algorithm",
  journal =      "Journal of Parallel and Distributed Computing",
  year =         "2006",
  volume =       "66",
  number =       "8",
  pages =        "1025--1036",
  month =        aug,
  note =         "Parallel Bioinspired Algorithms",
  keywords =     "genetic algorithms, genetic programming, Parallel
                 evolutionary algorithms, Islands",
  DOI =          "doi:10.1016/j.jpdc.2006.04.017",
  abstract =     "This paper presents an investigation of a novel model
                 for parallel evolutionary algorithms (EAs) based on the
                 biological concept of species. In EA population search,
                 new species represent solutions that could lead to good
                 solutions but are disadvantaged due to their
                 dissimilarity from the rest of the population. The
                 Speciating Island Model (SIM) attempts to exploit new
                 species when they arise by allocating them to new
                 search processes executing on other islands (other
                 processors). The long term goal of the SIM is to allow
                 new species to diffuse throughout a large (conceptual)
                 parallel computer network, where idle and unimproving
                 processors initiate a new search process with them. In
                 this paper, we focus on the successful identification
                 and exploitation of new species and show that the SIM
                 can achieve improved solution quality as compared to a
                 canonical parallel EA.",

Genetic Programming entries for Steven M Gustafson Edmund Burke