The design of the submerged vane, a flow training structure for sediment management in rivers, is optimized using a Genetic Algorithm. The vane considered in this study has a foil-like sectional profile and a tapered outline. The sectional profile of the vane is based on two types of shape formulations: (1) NACA’s four-digit wing profiles, and (2) profiles comprising two Bezier splines. By using Elitist and Crowding factor models, the optimization proceeds by creating successively improved generations of vanes. The final design for the vane with NACA profile has higher lift yet larger drag. Conversely, the final design for the vane with B-spline profile generates lower lift but also smaller drag.

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