Online modelling based on Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  title =        "Online modelling based on Genetic Programming",
  author =       "Stephan Winkler and Hajrudin Efendic and 
                 Luigi {Del Re} and Michael Affenzeller and Stefan Wagner",
  journal =      "International Journal of Intelligent Systems
                 Technologies and Applications",
  year =         "2007",
  volume =       "2",
  number =       "2/3",
  pages =        "255--270",
  month =        "19 " # feb,
  publisher =    "Inderscience Publishers",
  ISSN =         "1740-8873",
  bibsource =    "OAI-PMH server at",
  language =     "eng",
  oai =          "",
  relation =     "ISSN online: 1740-8873 ISSN print: 1740-8865 DOI:
  rights =       "Inderscience Copyright",
  source =       "IJISTA (2007), Vol 2 Issue 2/3, pp 255 - 270",
  keywords =     "genetic algorithms, genetic programming, GP, data
                 driven model identification, self-adaption, machine
                 learning, online modelling, fault diagnosis, automatic
                 learning, real time",
  URL =          "",
  DOI =          "doi:10.1504/IJISTA.2007.012487",
  abstract =     "Genetic Programming (GP), a heuristic optimisation
                 technique based on the theory of Genetic Algorithms
                 (GAs), is a method successfully used to identify
                 non-linear model structures by analysing a system's
                 measured signals. Mostly, it is used as an offline tool
                 that means that structural analysis is done after
                 collecting all available identification data. In this
                 paper, we propose an enhanced on-line GP approach that
                 is able to adapt its behaviour to new observations
                 while the GP process is executed. Furthermore, an
                 approach using GP for online Fault Diagnosis (FD) is
                 described, and finally test results using measurement
                 data of NOx (nitrogen oxide, nitrogen dioxide)
                 emissions of a BMW diesel engine are discussed.",

Genetic Programming entries for Stephan M Winkler Hajrudin Efendic Luigi del Re Michael Affenzeller Stefan Wagner