Experiments on the Automatic Evolution of Protocols Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  title =        "Experiments on the Automatic Evolution of Protocols
                 Using Genetic Programming",
  author =       "Lidia Yamamoto and Christian F. Tschudin",
  year =         "2005",
  pages =        "13--28",
  editor =       "Ioannis Stavrakakis and Michael Smirnov",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3854",
  booktitle =    "Autonomic Communication, Second International IFIP
                 Workshop, WAC 2005, Revised Selected Papers",
  address =      "Athens, Greece",
  month =        oct # " 2-5",
  bibdate =      "2006-03-02",
  bibsource =    "DBLP,
  keywords =     "genetic algorithms, genetic programming, protocol
                 synthesis, protocol evolution, TCP, fraglets, chemical
                 soup of rules",
  ISBN =         "3-540-32992-7",
  URL =          "http://cn.cs.unibas.ch/people/ly/doc/wac2005-lyct.pdf",
  DOI =          "doi:10.1007/11687818_2",
  size =         "16 pages",
  abstract =     "Truly autonomic networks ultimately require
                 self-modifying, evolving protocol software. Otherwise
                 humans must intervene in every situation that has not
                 been anticipated at design time. For this to become
                 feasible autonomic systems must ensure non-disruptive
                 on-line software evolution. We investigate related code
                 steering techniques in two directions: One is the fully
                 automatic selection of protocol service elements where,
                 depending on device characteristics and current
                 operation environment, each communication entity has to
                 select among a potentially wide variety of protocol
                 implementations providing similar services. The other
                 direction relates to the automatic synthesis of new
                 protocol elements which are the result of optimising
                 existing implementations for a specific context. In
                 both cases we look at genetic programming as a tool to
                 generate new code and software configurations
                 automatically. In this paper we propose a framework for
                 such a resilient protocol evolution and report on first
                 exploratory results on the adaptation and re-adaptation
                 to environmental conditions, and the elimination of
                 superfluous code.",
  notes =        "Published 2006 ?

                 'software hardening' and GP, code steering. Homologous
                 crossover. Chemical reaction between two fraglets of
                 code. Gamma systems.

                 claims to be Technical Report CS-2005-002 University of
                 Basel but it does not appear in

Genetic Programming entries for Lidia Yamamoto Christian F Tschudin