Genetic Programming for Proactive Aggregation Protocols

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

@InProceedings{WGB2007DGPFb,
  author =       "Thomas Weise and Kurt Geihs and Philipp Andreas Baer",
  title =        "Genetic Programming for Proactive Aggregation
                 Protocols",
  pages =        "167--173",
  year =         "2007",
  type =         "Conference Paper",
  affiliation =  "University of Kassel, FB-16, Distributed Systems
                 Group, Wilhelmsh{\"o}her Allee 73, 34121 Kassel,
                 Germany",
  copyright =    "restricted",
  abstract =     "We present an approach for automated generation of
                 proactive aggregation protocols using Genetic
                 Programming. First a short introduction into
                 aggregation and proactive protocols is given. We then
                 show how proactive aggregation protocols can be
                 specified abstractly. To be able to use Genetic
                 Programming to derive such protocol specifications, we
                 describe a simulation based fitness assignment method.
                 We have applied our approach successfully to the
                 derivation of aggregation protocols. Experimental
                 results are presented that were obtained using our own
                 Distributed Genetic Programming Framework. The results
                 are very encouraging and demonstrate clearly the
                 utility of our approach.",
  contents =     "We present an approach for automated generation of
                 proactive aggregation protocols using Genetic
                 Programming. First a short introduction into
                 aggregation and proactive protocols is given. We then
                 show how proactive aggregation protocols can be
                 specified abstractly. To be able to use Genetic
                 Programming to derive such protocol specifications, we
                 describe a simulation based fitness assignment method.
                 We have applied our approach successfully to the
                 derivation of aggregation protocols. Experimental
                 results are presented that were obtained using our own
                 Distributed Genetic Programming Framework. The results
                 are very encouraging and demonstrate clearly the
                 utility of our approach.",
  keywords =     "genetic algorithms, genetic programming, Proactive
                 Aggregation Protocols, Aggregation, Sensor Networks,
                 DGPF, Symbolic Regression",
  language =     "en",
  booktitle =    "Proceedings of Adaptive and Natural Computing
                 Algorithms, 8th International Conference, ICANNGA 2007,
                 Part I",
  address =      "Warsaw University of Technology, Warsaw, Poland",
  month =        apr # "~11-14,",
  editor =       "Bart{\l}omiej Beliczy{\'n}ski and 
                 Andrzej Dzieli{\'n}ski and Marcin Iwanowski and 
                 Bernardete Ribeiro",
  publisher =    "Springer Berlin Heidelberg New York",
  series =       "Lecture Notes in Computer Science",
  volume =       "4431",
  DOI =          "doi:10.1007/978-3-540-71618-1",
  ISSN =         "0302-9743",
  isbn13 =       "978-3-540-71589-4",
  note =         "see http://icannga07.ee.pw.edu.pl/ and
                 http://www.springerlink.com/content/978-3-540-71590-0/",
  URL =          "http://www.it-weise.de/documents/files/WGB2007DGPFb.pdf",
  URL =          "http://www.springerlink.com/content/978-3-540-71589-4/?p_o=10",
}

Genetic Programming entries for Thomas Weise Kurt Geihs Philipp Andreas Baer

Citations