De Novo programming designs the resource portfolio by modifying the slope and intercepts of each soft constraint. The new feasible region is optimally modified to satisfy the meta-optimum constraints. The optimal solutions generated can determine the minimum budget necessary to achieve the meta-optimum (see Figure 3-4 and Figure 3-5)