Solving variational and Cauchy problems with self-configuring genetic programming algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{Burakov:2013:IJICA,

• author = "Sergei V. Burakov and Eugene S. Semenkin",
• title = "Solving variational and Cauchy problems with self-configuring genetic programming algorithm",
• journal = "International Journal of Innovative Computing and Applications",
• year = "2013",
• volume = "5",
• number = "3",
• pages = "152--162",
• note = "Special Issue on: BIOMA 2012 Advances in Bio-inspired Computing. Guest Editors: Assistant Professor Jurij Silc and Associate Professor Bogdan Filipic",
• keywords = "genetic algorithms, genetic programming, Ordinary differential equations; Cauchy problem; variational problem; numeric methods; genetic programming algorithm; self-configuration.",
• ISSN = "1751-648X",
• DOI = "doi:10.1504/IJICA.2013.055931",
• abstract = "It is suggested to use genetic programming techniques for solving Cauchy problem and variational problem that allows getting the exact analytical solution if it does exist and an approximate analytical expression otherwise. Features of solving process with this approach are considered. Results of numerical experiments are given. The approach improvement is fulfilled by adopting the self-configuring genetic programming algorithm that does not require extra efforts for choosing its effective settings but demonstrates the competitive performance",
• notes = "Acceptance Date: 30 Nov 2012 IJICA http://www.inderscience.com/jhome.php?jcode=ijica

  ",

}

Genetic Programming entries for Sergei V Burakov Eugene Semenkin

Citations