The optimization of a turbocharger compressor wheel has to need considering about fluid performance and mechanical stress. It difficult to increase aerodynamic performance without compromising mechanical stress levels. In this time, we used the optimization methodology depend on the combination of a genetic algorithm, a neural network. The challenging turbo the optimization is not only coupled to a CFD solver, but also to a CSM solver, so that mechanical stresses can be included in the optimization objectives. The challenging turbocharger test case has allowed gaining experience with design objectives of different nature. The results show that the optimization has been able to improve the aero performance, while also decreasing the peak mechanical stress levels significantly.