Abstract
In the recent years many successful applications of evolutionary algorithms to aerodynamic design problems have been reported. The two main problems in applying evolutionary algorithms to that field are the high computational cost of the quality evaluations and the parameterisation of the design. In order to solve these problems, it is necessary to find the best simulation methods and strategies for the optimisation in order to reduce the overall computation time. In this paper different Evolution Strategies are compared with respect to their applicability to the optimisation of gas turbine blade designs. Additionally a representation with a low number of parameters is necessary in order to reduce the time needed for the optimisation. On the other hand the representation should be as variable as possible to allow the description of a wide range of possible designs. In order to optimally solve this trade-off between compact representations and detailed descriptions an adaptive representation is proposed. This representation is compared with fixed representations with respect to the optimisation time and the quality of the final result.
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Olhofer, M., Arima, T., Sonoda, T., Fischer, M., Sendhoff, B. (2002). Aerodynamic Shape Optimisation using Evolution Strategies. In: Parmee, I.C., Hajela, P. (eds) Optimization in Industry. Springer, London. https://doi.org/10.1007/978-1-4471-0675-3_8
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DOI: https://doi.org/10.1007/978-1-4471-0675-3_8
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