Genetic Programming for Design Grammar Rule Induction

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

@InProceedings{conf/ruleml/EichhoffR15,
  author =       "Julian R. Eichhoff and Dieter Roller",
  title =        "Genetic Programming for Design Grammar Rule
                 Induction",
  bibdate =      "2015-09-04",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/ruleml/ruleml2015c.html#EichhoffR15",
  booktitle =    "Proceedings of the Rule{ML} 2015 Challenge, the
                 Special Track on Rule-based Recommender Systems for the
                 Web of Data, the Special Industry Track and the
                 Rule{ML} 2015 Doctoral Consortium hosted by the 9th
                 International Web Rule Symposium (Rule{ML} 2015),
                 Berlin, Germany, August 2-5, 2015",
  publisher =    "CEUR-WS.org",
  year =         "2015",
  volume =       "1417",
  editor =       "Nick Bassiliades and Paul Fodor and Adrian Giurca and 
                 Georg Gottlob and Tomas Kliegr and 
                 Grzegorz J. Nalepa and Monica Palmirani and Adrian Paschke and 
                 Mark Proctor and Dumitru Roman and Fariba Sadri and 
                 Nenad Stojanovic",
  series =       "CEUR Workshop Proceedings",
  keywords =     "genetic algorithms, genetic programming, Rule
                 Induction, Graph Grammar, Machine Learning, Design
                 Graph, Functional Decomposition",
  URL =          "http://ceur-ws.org/Vol-1417",
  URL =          "http://nbn-resolving.de/urn:nbn:de:0074-1417-1",
  URL =          "http://ceur-ws.org/Vol-1417/paper3.pdf",
  size =         "8 pages",
  abstract =     "The knowledge engineering effort associated with
                 defining grammar systems can become a barrier for the
                 practical use of such systems. Existing grammar and
                 rule induction algorithms offer rather limited support
                 for discovering context-sensitive graph grammar rules
                 as required by some applications in the domain of
                 engineering design. For this task the present work
                 proposes a rule induction method grounded on Genetic
                 Programming. Specializations regarding the
                 representation and evaluation of rule candidates are
                 discussed. Results from preliminary experiments with a
                 prototype implementation demonstrate the feasibility of
                 the suggested approach.",
  notes =        "Subdue",
}

Genetic Programming entries for Julian R Eichhoff Dieter Roller

Citations