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  • The using of the genetic algorithms for the optimalization of the parameters of the multiport averaging probe that is a one type from the differential producing flowmeters is described in this paper. The genetic algorithms are search algorithms based on the mechanisms of the natural selection which may be used to the solve search and optimalization problems. Finally, there are shown a simulation of a using genetic algorithm frt minimize pressure loss and drag of probe body.
  • The using of the genetic algorithms for the optimalization of the parameters of the multiport averaging probe that is a one type from the differential producing flowmeters is described in this paper. The genetic algorithms are search algorithms based on the mechanisms of the natural selection which may be used to the solve search and optimalization problems. Finally, there are shown a simulation of a using genetic algorithm frt minimize pressure loss and drag of probe body. (en)
Title
  • The Using of the Genetic Algorithms for the Optimalization of the Multiport Averaging Probe
  • The Using of the Genetic Algorithms for the Optimalization of the Multiport Averaging Probe (en)
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  • The Using of the Genetic Algorithms for the Optimalization of the Multiport Averaging Probe
  • The Using of the Genetic Algorithms for the Optimalization of the Multiport Averaging Probe (en)
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  • RIV/00216305:26220/02:PU27800!RIV11-MSM-26220___
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  • RIV/00216305:26220/02:PU27800
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  • genetic algorithm, optimalization, multiport averaging probe (en)
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  • Šedivá, Soňa
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  • Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
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  • 26220
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