Evolutional Methods for Creating Artificial Intelligence of Robotic Technical Systems
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- @Article{KONYRBAEV:2019:procs,
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author = "N. B. Konyrbaev and S. I. Ibadulla and A. I. Diveev",
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title = "Evolutional Methods for Creating Artificial
Intelligence of Robotic Technical Systems",
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journal = "Procedia Computer Science",
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volume = "150",
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pages = "709--715",
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year = "2019",
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note = "Proceedings of the 13th International Symposium
{"}Intelligent Systems 2018{"} (INTELS'18), 22-24
October, 2018, St. Petersburg, Russia",
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ISSN = "1877-0509",
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DOI = "doi:10.1016/j.procs.2019.02.018",
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URL = "http://www.sciencedirect.com/science/article/pii/S1877050919303618",
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keywords = "genetic algorithms, genetic programming, artificial
intelligence, evolutionary computations, symbolic
regression methods",
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abstract = "This paper considers evolutionary methods of symbolic
regression for the creation of artificial intelligence
of robotic systems. Methods of symbolic regression are
reviewed and the features of their application to the
solution of the problem of synthesis of control of
robotic systems are indicated. The measure of the
complexity of artificial intelligence is determined and
the advantage of using the principle of small
variations of the basic solution is shown, while
creating intelligent control systems. A method of
variational analytic programming is described and an
example of its use for the synthesis of intellectual
control is given",
- }
Genetic Programming entries for
N B Konyrbaev
S I Ibadulla
Askhat Diveev Ibraghimovich
Citations