A Jxta Based Asynchronous Peer-to-Peer Implementation of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Gianluigi Folino and Agostino Forestiero and 
                 Giandomenico Spezzano",
  title =        "A Jxta Based Asynchronous Peer-to-Peer Implementation
                 of Genetic Programming",
  journal =      "Journal of Software",
  year =         "2006",
  volume =       "1",
  number =       "2",
  pages =        "12--23",
  month =        aug,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1796-217X",
  URL =          "http://www.academypublisher.com/jsw/vol01/no02/jsw01021223.pdf",
  URL =          "http://www.academypublisher.com/jsw/vol01/no02/jsw01021223.html",
  size =         "12 pages",
  abstract =     "Solving complex real-world problems using evolutionary
                 computation is a CPU time-consuming task that requires
                 a large amount of computational resources. Peer-to-Peer
                 (P2P) computing has recently revealed as a powerful way
                 to harness these resources and efficiently deal with
                 such problems. In this paper, we present P-CAGE: a P2P
                 environment for Genetic Programming based on the JXTA
                 protocols. P-CAGE is based on a hybrid multi-island
                 model that combines the island model with the cellular
                 model. Each island adopts a cellular model and the
                 migration occurs between neighbouring peers placed in a
                 virtual ring topology. Three different termination
                 criteria (effort, time and maxgen) have been
                 implemented. Experiments were conducted on some popular
                 benchmarks and scalability, accuracy and the effect of
                 migration have been studied. Performance are at least
                 comparable with classical distributed models, retaining
                 the obvious advantages in terms of decentralisation,
                 fault tolerance and scalability of P2P systems. We also
                 demonstrated the important effect of migration in
                 accelerating the convergence.",
  notes =        "JSW",
  bibdate =      "2008-08-13",
  bibsource =    "DBLP,

Genetic Programming entries for Gianluigi Folino Agostino Forestiero Giandomenico Spezzano