Evolutionary Approaches and their Applications to Distributed Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InCollection{Weise:2010:ISALA,
  author =       "Thomas Weise and Raymond Chiong",
  title =        "Evolutionary Approaches and their Applications to
                 Distributed Systems",
  booktitle =    "Intelligent Systems for Automated Learning and
                 Adaptation: Emerging Trends and Applications",
  publisher =    "IGI Global",
  year =         "2010",
  editor =       "Raymond Chiong",
  chapter =      "6",
  pages =        "114--149",
  keywords =     "Evolutionary Computation, Distributed Systems,
                 Networks, Genetic Programming, Genetic Algorithms, Ant
                 Colony Optimisation, Topology, Routing, Protocols,
                 Security, Configuration",
  isbn13 =       "978-1-60566-798-0",
  URL =          "http://www.igi-global.com/bookstore/Chapter.aspx?TitleId=38453",
  DOI =          "doi:10.4018/978-1-60566-798-0.ch006",
  abstract =     "The ubiquitous presence of distributed systems has
                 drastically changed the way the world interacts, and
                 impacted not only the economics and governance but also
                 the society at large. It is therefore important for the
                 architecture and infrastructure within the distributed
                 environment to be continuously renewed in order to cope
                 with the rapid changes driven by the innovative
                 technologies. However, many problems in distributed
                 computing are either of dynamic nature, large scale, NP
                 complete, or a combination of any of these. In most
                 cases, exact solutions are hardly found. As a result, a
                 number of intelligent nature-inspired algorithms have
                 been used recently, as these algorithms are capable of
                 achieving good quality solutions in reasonable
                 computational time. Among all the nature-inspired
                 algorithms, evolutionary algorithms are considerably
                 the most extensively applied ones. This chapter
                 presents a systematic review of evolutionary algorithms
                 employed to solve various problems related to
                 distributed systems. The review is aimed at providing
                 an insight of evolutionary approaches, in particular
                 genetic algorithms and genetic programming, in solving
                 problems in five different areas of network
                 optimization: network topology, routing, protocol
                 synthesis, network security, and parameter settings and
                 configuration. Some interesting applications from these
                 areas will be discussed in detail with the use of
                 illustrative examples.",
  notes =        "http://www.igi-global.com/bookstore/TitleDetails.aspx?TitleId=635
                 Thomas Weise (University of Kassel, Germany); Raymond
                 Chiong (Swinburne University of Technology (Sarawak
                 Campus)",
}

Genetic Programming entries for Thomas Weise Raymond Chiong

Citations