The Comparison of Genetic Programming and Variational Genetic Programming for a Control Synthesis Problem on the Model Predator-victim
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Ibadulla:2017:PCS,
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author = "S. I. Ibadulla and E. Yu Shmalko and
K. K. Daurenbekov",
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title = "The Comparison of Genetic Programming and Variational
Genetic Programming for a Control Synthesis Problem on
the Model Predator-victim",
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journal = "Procedia Computer Science",
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volume = "103",
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pages = "155--161",
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year = "2017",
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note = "\{XII\} International Symposium Intelligent Systems
2016, \{INTELS\} 2016, 5-7 October 2016, Moscow,
Russia",
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ISSN = "1877-0509",
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DOI = "doi:10.1016/j.procs.2017.01.041",
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URL = "http://www.sciencedirect.com/science/article/pii/S187705091730042X",
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abstract = "The work is devoted to the comparison of two methods
of symbolic regression, a method of genetic programming
and a variational method of genetic programming. The
comparison is made on the basis of the computing
experiment, which solved a problem of control system
synthesis for a model of nonlinear control object,
describing the interaction of the two systems of
predator and victim. For the purity of the experiment
the genetic algorithms parameters in the both methods
were Identical. For variational genetic programming
there was selected a trivial basic solution in the form
of the sum of input variable products for custom
settings. This basic solution is always chosen in the
case of the absence of meaningful task analysis. The
comparison of methods for the speed of solving the
problem and for the quality of the achieved control is
made.",
-
keywords = "genetic algorithms, genetic programming, synthesis of
control system, the method of variations of the basis
solutions",
- }
Genetic Programming entries for
S I Ibadulla
Elizaveta Yu Shmalko
K K Daurenbekov
Citations