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_tutorials/design_features/Multi_Objective_Shape_Design/Multi_Objective_Shape_Design.md

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- Constraints as penalty functions
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- Combining objectives in the adjoint evaluation of the gradient to reduce computational cost.
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The intent of this tutorial is to introduce multi-objective, single-point optimization and explain how this can be implemented using SU2. This tutorial uses the same geometry and flow conditions as described in the inviscid supersonc wedge tutorial.
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The intent of this tutorial is to introduce multi-objective, single-point optimization and explain how this can be implemented using SU2. This tutorial uses the same geometry and flow conditions as described in the inviscid supersonic wedge tutorial.
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The capabilities of combining multiple objectives and incorporating penalty functions into the adjoint formulation in SU2 are discussed further in section 3.4 of [this work](https://purl.stanford.edu/mm280hp6972).

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