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Design of Kaplan runner using multiobjective genetic algorithm optimization = Conception d'une roue de turbine Kaplan á l'aide d'algorithmes d'optimisation multiobjectsLipej, Andrej ; Poloni, CarloNumerical flow analysis in turbomachinery is an indispensable tool for water turbines design. Following the design of axial runner, the energetic and cavitation characteristics can be predicted using ... the numerical method. In this paper it is described how the multiobjective genetic algorithm aids the human decision of the best design solution, based on objective functions obtained by numerical flow analysis. Theoretical and empirical knowledge of the design procedure enables to start the optimization procedure, numerical flow analysis and multiobjective genetic algorithm.Source: Journal of hydraulic research = Journal de recherches hydrauliques. - ISSN 0022-1686 (Vol. 38, No. 4, 2000, str. 73-79)Type of material - article, component partPublish date - 2000Language - englishCOBISS.SI-ID - 5664534
Author
Lipej, Andrej |
Poloni, Carlo
Topics
vodne turbine |
konstruiranje vodnih turbin |
genetski algoritmi |
optimizacija genetskega algoritma |
numerične metode |
numerična analiza toka |
water turbiens |
water turbines design |
genetic algorithm |
genetic algorithm optimization |
numerical methods |
numerical flow analysis
source: Journal of hydraulic research = Journal de recherches hydrauliques. - ISSN 0022-1686 (Vol. 38, No. 4, 2000, str. 73-79)
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Lipej, Andrej | 05389 |
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