A GEP-based approach for solving Fredholm first kind integral equations

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@InProceedings{conf:synasc:bautu2005,
  author =       "Elena Bautu and Andrei Bautu and Henri Luchian",
  title =        "A {GEP}-based approach for solving {Fredholm} first
                 kind integral equations",
  booktitle =    "Seventh International Symposium on Symbolic and
                 Numeric Algorithms for Scientific Computing, SYNASC
                 2005",
  year =         "2005",
  pages =        "325",
  month =        sep,
  publisher =    "IEEE Computer Society",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, Fredholm integral equations,
                 GEA, GEP approach, evolutionary techniques, first kind
                 integral equations, gene expression algorithm, symbolic
                 technique, Fredholm integral equations, evolutionary
                 computation, symbol manipulation",
  ISBN =         "0-7695-2453-2",
  DOI =          "doi:10.1109/SYNASC.2005.6",
  size =         "4 pages",
  abstract =     "Evolutionary techniques have been widely accepted as
                 an effective meta-heuristic for a wide variety of
                 problems in different domains. The main purpose of this
                 paper is to present a symbolic technique based on the
                 evolutionary paradigm gene expression programming (GEP)
                 for solving Fredholm first type integral equations. We
                 present the main traits of the gene expression
                 algorithm (GEA), and our implementation for solving
                 first kind integral equations of Fredholm type. The
                 results obtained on four model problems using the
                 symbolic technique described in this paper prove it to
                 be suitable to handle this class of problems.",
}

Genetic Programming entries for Elena Bautu Andrei Bautu Henri Luchian

Citations