M esd Goal Programming vS Isoperformance ESD. 77 Criterion space Decision space (Design Space) (Objective Space) 2 X 2 Case 1: The target (goal) vector is in Z- usually get non-unique solutions Isoperformance Case 2: The target (goal)vector is not in Z-don't get a solution -find closest Goal Programming o Massachusetts Institute of Technology-Prof de Weck and Prof Willcox Engineering Systems Division and Dept of Aeronautics and Astronautics7 Goal Programming vs. Isoperformance Goal Programming vs. Isoperformance Criterion Space Decision Space (Objective Space) (Design Space) J2 is not in Z - don’t get a solution - find closest x2 J1 c S Z 2 x1 x4 x3 x2 J1 J3 J2 J2 The target (goal) vector = Isoperformance T2 T1 The target (goal) vector Case 1: is in Z - usually get non-unique solutions Case 2: = Goal Programming © Massachusetts Institute of Technology - Prof. de Weck and Prof. Willcox Engineering Systems Division and Dept. of Aeronautics and Astronautics