Optimisation of a Stator Blade Used in a Transonic Compressor Cascade with Evolution Strategies

The evaluation of fluid dynamic properties of various different structures in aerodynamic design optimisation is a computationally demanding process. For the application of evolutionary algorithms it would therefore be beneficial to restrict the population size to a minimum even if parallel genetic algorithms are employed. In this paper, we will show that specific evolution strategies can be successfully used for design optimisation even in the transonic regime with small population sizes and a full Navier Stokes solver for the evaluation. Furthermore, we analyse the self-adaptation properties of the evolution strategy.

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