On Representation and Genetic Operators in Evolutionary Algorithms

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

@TechReport{oai:CiteSeerPSU:323494,
  author =       "Stefan Droste and Dirk Wiesmann",
  title =        "On Representation and Genetic Operators in
                 Evolutionary Algorithms",
  institution =  "Collaborative Research Center 531, University of
                 Dortmund",
  year =         "1998",
  type =         "Computational Intelligence",
  number =       "CI-41/98",
  address =      "Germany",
  month =        jul,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "https://eldorado.uni-dortmund.de/bitstream/2003/5341/2/ci4198_doc.pdf",
  URL =          "http://citeseer.ist.psu.edu/323494.html",
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  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:323494",
  rights =       "unrestricted",
  abstract =     "The application of evolutionary algorithms (EAs)
                 requires as a basic design decision the choice of a
                 suitable representation of the variable space and
                 appropriate genetic operators. In practice mainly
                 problemspecific representations with specific genetic
                 operators and miscellaneous extensions can be observed.
                 In this connection it attracts attention that hardly
                 any formal requirements on the genetic operators are
                 stated. In this article we first formalize the
                 representation problem and then propose a package of
                 requirements to guide the design of genetic operators.
                 By the definition of distance measures on the geno- and
                 phenotype space it is possible to integrate
                 problem-specific knowledge into the genetic operators.
                 As an example we show how this package of requirements
                 can be used to design a genetic programming (GP) system
                 for finding Boolean functions.",
  size =         "34 pages",
}

Genetic Programming entries for Stefan Droste Dirk Wiesmann

Citations