Multi objective optimization of wavy fin-and-elliptical tube heat exchangers has been performed. The results obtained from CFD simulations have been used as inputs for the GMDH type artificial neural networks. Four parameters have been chosen as design variables to optimize two objective functions. From among the optimal points, several points with unique features have been introduced and explained.