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  • The aim of this library is to make new self-adaptive stochastic algorithms accessible for potential users and facilitate the use of the self-adaptive algorithms in practical problems. The self-adaptation of the algorithms means that the user need not set up their control parameters by preliminary trial-and-error numerical experiment (common practice in the applications of standard stochastic algorithms), but he can use the default control-parameter settings.
  • The aim of this library is to make new self-adaptive stochastic algorithms accessible for potential users and facilitate the use of the self-adaptive algorithms in practical problems. The self-adaptation of the algorithms means that the user need not set up their control parameters by preliminary trial-and-error numerical experiment (common practice in the applications of standard stochastic algorithms), but he can use the default control-parameter settings. (en)
Title
  • Stochastic Self-adaptive Algorithms for Global Optimization - MATLAB and C++ library
  • Stochastic Self-adaptive Algorithms for Global Optimization - MATLAB and C++ library (en)
skos:prefLabel
  • Stochastic Self-adaptive Algorithms for Global Optimization - MATLAB and C++ library
  • Stochastic Self-adaptive Algorithms for Global Optimization - MATLAB and C++ library (en)
skos:notation
  • RIV/61988987:17610/09:A1000XLX!RIV10-MSM-17610___
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  • P(GA201/05/0284), P(GA201/08/0472), Z(MSM6198898701)
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  • 343886
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  • RIV/61988987:17610/09:A1000XLX
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  • UNGOLIB
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  • Global optimization; self-adaptive algorithms; differential evolution (en)
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  • [CB01C6FD684B]
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  • Josef Tvrdík, KIP PřF OU, 30. dubna 22, 703 00 Ostrava, tel. 597092183, josef.tvrdik@osu.cz
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  • Pavliska, Viktor
  • Tvrdík, Josef
  • Habiballa, Hashim
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  • 17610
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