A search for routing strategies in a peer-to-peer network using genetic programming

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

  author =       "Michael Iles and Dwight Deugo",
  title =        "A search for routing strategies in a peer-to-peer
                 network using genetic programming",
  booktitle =    "Proceedings 21st IEEE Symposium on Reliable
                 Distributed Systems",
  year =         "2002",
  pages =        "341--346",
  month =        "13-16 " # oct,
  keywords =     "genetic algorithms, genetic programming, computer
                 networks, discrete event simulation, learning
                 (artificial intelligence), protocols, telecommunication
                 network routing, Gnutella protocol, machine learning
                 techniques, resource location optimization, routing
                 strategies, simulated peer-to-peer network, traffic
                 flow scenarios",
  ISSN =         "1060-9857",
  DOI =          "doi:10.1109/RELDIS.2002.1180207",
  abstract =     "Results taken from a simulated peer-to-peer network
                 are described, in which genetic programming is used to
                 evolve routing strategies that optimise resource
                 location in various traffic flow scenarios. In all
                 cases the evolved strategies result in more numerous
                 resource locations than a pure, non-adaptive
                 peer-to-peer protocol such as the Gnutella protocol.
                 The resulting evolved strategies are described, and
                 empirical validation of the Gnutella protocol is given
                 via both its creation through machine-learning
                 techniques, and through the analysis of real-world
                 constants used in the protocol.",
  notes =        "Inspec Accession Number: 7516795.

                 Carleton Univ., Ottawa, Ont., Canada",

Genetic Programming entries for Michael Iles Dwight Deugo