Designing model and control system using evolutionary algorithms
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- @Article{Corn:2015:IFAC-PapersOnLine,
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author = "Marko Corn and Maja Atanasijevic-Kunc",
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title = "Designing model and control system using evolutionary
algorithms",
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journal = "IFAC-PapersOnLine",
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volume = "48",
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number = "1",
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pages = "526--531",
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year = "2015",
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note = "8th Vienna International Conference on Mathematical
Modelling, MATHMOD 2015",
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ISSN = "2405-8963",
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DOI = "doi:10.1016/j.ifacol.2015.05.106",
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URL = "http://www.sciencedirect.com/science/article/pii/S240589631500107X",
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abstract = "In the paper several types of evolutionary algorithms
have been tested regarding the dynamic nonlinear
multivariable system model. We have defined three
problems regarding the observed system: the first is
the so-called grey box identification where we search
for the characteristic of the system's valve, the
second problem is black box identification where we
search the model of the system with the usage of
system's measurements and the third one is a system's
controller design. We solved these problems with the
usage of genetic algorithms, differential evolution,
evolutionary strategies, genetic programming and a
developed approach called AMEBA algorithm. All methods
have been proven to be very useful for solving problems
of the grey box identification and design of the
controller for the mentioned system but AMEBA algorithm
have also been successfully used in black box
identification problem where it generated a suitable
model.",
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keywords = "genetic algorithms, genetic programming, evolutionary
algorithms, ameba, dynamic systems",
- }
Genetic Programming entries for
Marko Corn
Maja Atanasijevic-Kunc
Citations