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