Abstract
In order to optimize turbo machine components it is necessary to describe the behaviour of multimodal objective functions (OF). Instead very time-consuming evaluations using a three-dimensional Navier–Stokes solver have to be performed to get the characteristics of these OF. In this study an Artificial Neural Network (ANN) is considered to use it as a performance predictor with the view to replace the evaluation of the objective function to speed up the optimization process.
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Meier, R., Joos, F. (2009). Optimization of Centrifugal Impeller Using Evolutionary Strategies and Artificial Neural Networks. In: Fink, A., Lausen, B., Seidel, W., Ultsch, A. (eds) Advances in Data Analysis, Data Handling and Business Intelligence. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01044-6_65
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DOI: https://doi.org/10.1007/978-3-642-01044-6_65
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