Optimization of the Throughput of Computer Network Based on Parallel EA

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Imrich Rukovansky",
  title =        "Optimization of the Throughput of Computer Network
                 Based on Parallel EA",
  booktitle =    "International Conference on Soft Computing and
                 Applications, Proceedings of the World Congress on
                 Engineering and Computer Science, WCECS 2009",
  year =         "2009",
  editor =       "S. I. Ao and Craig Douglas and W. S. Grundfest and 
                 Jon Burgston",
  volume =       "2",
  pages =        "1038--1043",
  address =      "San Francisco, USA",
  month =        oct # " 20-22",
  organisation = "International Association of Engineers",
  publisher =    "Newswood Limited",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, computer networks, parallel evolution",
  isbn13 =       "978-988-18210-2-7",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:",
  rights =       "Metadata may be used without restrictions as long as
                 the oai identifier remains attached to it.",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=",
  URL =          "http://www.iaeng.org/publication/WCECS2009/WCECS2009_pp1038-1043.pdf",
  abstract =     "Evolution (PGE) that can be together with clustering
                 used for a improvement of the throughput of computer
                 networks. To increase the efficiency of Grammatical
                 Evolution (GE) the influence of backward processing was
                 tested. The significance of backward coding (BC) and
                 the comparison with standard coding of GEs is
                 presented. BC can speed up Grammatical Evolution with
                 high quality features. The adaptive significance of
                 Parallel Grammatical Evolution with male and female
                 populations has been studied.",
  notes =        "http://www.iaeng.org/publication/WCECS2009/",

Genetic Programming entries for I Rukovansky