Solving variational and Cauchy problems with self-configuring genetic programming algorithm
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- @Article{Burakov:2013:IJICA,
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author = "Sergei V. Burakov and Eugene S. Semenkin",
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title = "Solving variational and Cauchy problems with
self-configuring genetic programming algorithm",
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journal = "International Journal of Innovative Computing and
Applications",
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year = "2013",
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volume = "5",
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number = "3",
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pages = "152--162",
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note = "Special Issue on: BIOMA 2012 Advances in Bio-inspired
Computing. Guest Editors: Assistant Professor Jurij
Silc and Associate Professor Bogdan Filipic",
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keywords = "genetic algorithms, genetic programming, Ordinary
differential equations; Cauchy problem; variational
problem; numeric methods; genetic programming
algorithm; self-configuration.",
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ISSN = "1751-648X",
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DOI = "doi:10.1504/IJICA.2013.055931",
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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",
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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