Topics in Soft Computing

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@PhdThesis{oai:CiteSeerPSU:567095,
  title =        "Topics in Soft Computing",
  author =       "J. H. D. Keukelaar",
  year =         "2002",
  citeseer-isreferencedby = "oai:CiteSeerPSU:148180;
                 oai:CiteSeerPSU:96799; oai:CiteSeerPSU:115646",
  citeseer-references = "oai:CiteSeerPSU:172661; oai:CiteSeerPSU:19444",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:567095",
  rights =       "unrestricted",
  URL =          "http://www.nada.kth.se/utbildning/forsk.utb/avhandlingar/dokt/keukelaar.pdf",
  URL =          "http://citeseer.ist.psu.edu/567095.html",
  school =       "Department of Numerical Analysis and Computer Science,
                 Royal Institute of Technology",
  address =      "Stockholm",
  month =        jan,
  ISBN =         "91-7283-242-8",
  keywords =     "genetic algorithms, genetic programming, dataflow",
  size =         "176 pages",
  abstract =     "This thesis discusses visual programming languages,
                 representation of uncertainty in geographical data and
                 a combination of genetic programming and
                 optimisation.

                 A new visual programming language is described, based
                 on a novel version of the dataflow paradigm. In this
                 version, cyclic graphs are replaced with nested graphs,
                 which also have other uses. Furthermore, the programs
                 become more structured, readable and scalable. This
                 language is then formally defined using a novel
                 extension of plex grammars.

                 Various representations of uncertainty in geographical
                 data are discussed, including some novel ones based on
                 rough sets. Various novel measures are developed, and
                 used in two experiments that verify the usefulness of
                 the representations chosen. Furthermore, a novel theory
                 of topological relations between uncertain data is
                 presented.

                 A novel combination of genetic programming and
                 optimization is presented. This has been implemented in
                 a system that is in actual use. The system is
                 described, as is the combination. An experiment has
                 been done to test the performance of this combination,
                 and in this experiment it performed better than plain
                 genetic programming.",
  notes =        "Kungl Tekniska Hogskolan",
}

Genetic Programming entries for Johannes H D Keukelaar

Citations