Genetically Induced Communication Network Fault Tolerance

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Misc{oai:CiteSeerPSU:572931,
  author =       "Stephen F. Bush and Amit B. Kulkarni",
  title =        "Genetically Induced Communication Network Fault
                 Tolerance",
  howpublished = "Invited Paper: SFI Workshop: Resilient and Adaptive
                 Defence of Computing Networks 2002",
  year =         "2002",
  keywords =     "genetic algorithms, genetic programming",
  citeseer-isreferencedby = "oai:CiteSeerPSU:98543",
  citeseer-references = "oai:CiteSeerPSU:506477; oai:CiteSeerPSU:155080;
                 oai:CiteSeerPSU:454895; oai:CiteSeerPSU:439074;
                 oai:CiteSeerPSU:11748; oai:CiteSeerPSU:373663;
                 oai:CiteSeerPSU:185401; oai:CiteSeerPSU:163938;
                 oai:CiteSeerPSU:276739; oai:CiteSeerPSU:470039;
                 oai:CiteSeerPSU:506805; oai:CiteSeerPSU:461659;
                 oai:CiteSeerPSU:462512",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:572931",
  rights =       "unrestricted",
  URL =          "http://www.crd.ge.com/~bushsf/ftn/GE-SFI-AdaptiveSecurity.pdf",
  URL =          "http://citeseer.ist.psu.edu/572931.html",
  size =         "9 pages",
  abstract =     "This paper presents the architecture and initial
                 feasibility results of a proto-type communication
                 network that uses genetic programming to evolve
                 services and protocols as part of network operation.
                 The network evolves responses to environmental
                 conditions in a manner that could not be pre-programmed
                 within legacy network nodes apriori. Apriori in this
                 case means before network operation has begun. Genetic
                 material is exchanged, loaded, and run dynamically
                 within an active network. The transfer and execution of
                 code in support of the evolution of network protocols
                 and services would not be possible without the active
                 network environment. Rapid generation of network
                 service code occurs via a genetic programming paradigm.
                 Complexity and Algorithmic Information Theory play a
                 key role in understanding and guiding code evolution
                 within the network.",
  notes =        "No confirmation",
}

Genetic Programming entries for Stephen F Bush Amit B Kulkarni

Citations