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Description
  • A quasi-global optimization procedure is presented in this paper. It is used for the optimal placement of multi-element high lift system in landing configuration. A goal of the optimization is to maximize lift. Design of Experiment and Response Surface Method is used for preliminary mapping of design area and as a determination of an initial vector for Evolutionary optimization. Micro Genetic Algorithm with very small population is used to find the optimal setting of the high-lift system.
  • A quasi-global optimization procedure is presented in this paper. It is used for the optimal placement of multi-element high lift system in landing configuration. A goal of the optimization is to maximize lift. Design of Experiment and Response Surface Method is used for preliminary mapping of design area and as a determination of an initial vector for Evolutionary optimization. Micro Genetic Algorithm with very small population is used to find the optimal setting of the high-lift system. (en)
Title
  • GLOBAL OPTIMIZATION OF TWO-DIMENSIONAL HIGH LIFT AERODYNAMIC SYSTEM
  • GLOBAL OPTIMIZATION OF TWO-DIMENSIONAL HIGH LIFT AERODYNAMIC SYSTEM (en)
skos:prefLabel
  • GLOBAL OPTIMIZATION OF TWO-DIMENSIONAL HIGH LIFT AERODYNAMIC SYSTEM
  • GLOBAL OPTIMIZATION OF TWO-DIMENSIONAL HIGH LIFT AERODYNAMIC SYSTEM (en)
skos:notation
  • RIV/00010669:_____/12:#0001477!RIV13-MPO-00010669
http://linked.open...avai/predkladatel
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  • 138203
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  • RIV/00010669:_____/12:#0001477
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  • Design of Experiment; Response Surface Method; microGA; CFD (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6480739E714A]
http://linked.open...v/mistoKonaniAkce
  • Brisbane, Australia
http://linked.open...i/riv/mistoVydani
  • Edinburgh, UK
http://linked.open...i/riv/nazevZdroje
  • ICAS 2012 28th Congress of the International Council of the Aeronautical Sciences
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  • Hospodář, Pavel
  • Szőllős, András
  • Vrchota, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Optimage Ltd.
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  • 978-0-9565333-1-9
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