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  • This paper describes the self-adaptive stochastic algorithms for the global optimization over continuous space with box constraints. Two of the implemented algorithms solve the problem of parameter estimation in nonlinear regression model. Several self-adaptive algorithms are included into Matlab program library. This program library is free software, any user of Matlab can use and/or modify it under the terms of the GNU General Public License.
  • This paper describes the self-adaptive stochastic algorithms for the global optimization over continuous space with box constraints. Two of the implemented algorithms solve the problem of parameter estimation in nonlinear regression model. Several self-adaptive algorithms are included into Matlab program library. This program library is free software, any user of Matlab can use and/or modify it under the terms of the GNU General Public License. (en)
  • V článku jsou popsány samoadaptivní stochastické algoritmy pro řešení problému globální optimalizace a programová knihovna implementovaná v Matlabu. Tyto programy jsou volně dosptupné v rámci GNU licence. (cs)
Title
  • Matlab Program Library for Box-Costrained Global Optimization
  • Knihovna programů v Matlabu pro box-constrained globální optimalizaci (cs)
  • Matlab Program Library for Box-Costrained Global Optimization (en)
skos:prefLabel
  • Matlab Program Library for Box-Costrained Global Optimization
  • Knihovna programů v Matlabu pro box-constrained globální optimalizaci (cs)
  • Matlab Program Library for Box-Costrained Global Optimization (en)
skos:notation
  • RIV/61988987:17310/07:00000092!RIV07-MSM-17310___
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  • P(GA201/05/0284), Z(MSM6198898701)
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  • RIV/61988987:17310/07:00000092
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  • Global optimization, Heuristics, Sel-adaptive algorithms, Program library, Nonlinear regression (en)
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  • [6DAEA64D20A5]
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  • Bratislava
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  • Slovenská Technická Univerzita
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  • Pavliska, Viktor
  • Tvrdík, Josef
  • Habiballa, Hashim
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  • 80-967305-4-1
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  • 17310
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