## Approximating the objective function's gradient using perceptrons for constrained minimization with application in drag reduction

- Burak Kocuk, I. Kuban Altinel, Necati Aras
- Computers & OR
- 2015

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@inproceedings{DuvigneauHybridGA, title={Hybrid Genetic Algorithms and Artificial Neural Networks for Complex Design Optimization in CFD}, author={R{\'e}gis Duvigneau and Michel Visonneau} }

The present paper is devoted to the study of design optimization strategies in the particular framework of complex computational fluid dynamics. Genetic algorithms are chosen as the optimization strategy, thanks to their robustness and flexibility. Two ways are explored to improve the behavior of genetic algorithms in order to increase the efficiency of the search. First, approximated preevaluations based on artificial neural networks are used to benefit from the knowledge acquired from the… CONTINUE READING