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<item>
  <id>02043441</id>
  <dt>a</dt>
  <an>02043441</an>
  <augroup>
    <au>Withall, Mark</au>
    <au>Hinde, Chris</au>
    <au>Stone, Roger</au>
    <au>Cooper, Jason</au>
  </augroup>
  <ti>Packet transmission optimisation using genetic algorithms.</ti>
  <so>Chung, Paul W. H. (ed.) et al., Developments in applied artificial intelligence. 16th international conference on industrial and engineering applications of artificial intelligence and expert systems, IEA/AIE 2003, Loughborough, UK, June 23--26, 2003. Proceedings. Berlin: Springer (ISBN 3-540-40455-4/pbk). Lect. Notes Comput. Sci. 2718, 653-661 (2003).</so>
  <py>2003</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>Internet Applications</ut>
    <ut>Genetic Algorithms</ut>
    <ut>Adaptive Control</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>http://link.springer.de/link/service/series/0558/bibs/2718/27180653.htm</li>
  </ligroup>
  <abgroup>
    <ab>Summary: A Genetic Algorithm (GA) is used to optimise the parameters for a sequence of packets sent over the Internet. Only the parameters that a client machine can change are used and the fitness is based on the delay time returned by the Traceroute program. The GA performance is compared to a fixed packet size with no priority used to assess the status of the network. The GA generally performed to the same level as the control settings but in some cases significant improvements were made.</ab>
    <rv></rv>
  </abgroup>
</item>