Multi-objective Genetic Programming for Improving the Performance of TCP

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Cyril Fillon and Alberto Bartoli",
  title =        "Multi-objective Genetic Programming for Improving the
                 Performance of TCP",
  editor =       "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and 
                 Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
  booktitle =    "Proceedings of the 10th European Conference on Genetic
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "4445",
  year =         "2007",
  address =      "Valencia, Spain",
  month =        "11-13 " # apr,
  pages =        "170--180",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-71602-5",
  isbn13 =       "978-3-540-71602-0",
  DOI =          "doi:10.1007/978-3-540-71605-1_16",
  abstract =     "TCP is one of the fundamental components of the
                 Internet. The performance of TCP is heavily dependent
                 on the quality of its round-trip time (RTT) estimator,
                 i.e. the formula that predicts dynamically the delay
                 experienced by packets along a network connection. In
                 this paper we apply multi-objective genetic programming
                 for constructing an RTT estimator. We used two
                 different approaches for multi-objective optimisation
                 and a collection of real traces collected at the mail
                 server of our University. The solutions that we found
                 outperform the RTT estimator currently used by all TCP
                 implementations. This result could lead to several
                 applications of genetic programming in the networking
  notes =        "Part of \cite{ebner:2007:GP} EuroGP'2007 held in
                 conjunction with EvoCOP2007, EvoBIO2007 and

Genetic Programming entries for Cyril Fillon Alberto Bartoli