M esd Multiobjective vs. Multidisciplinary E:D:71 Multiobjective Optimization Optimizing conflicting objectives e.g., Cost, Mass, Deformation Issues: Form Objective Function that represents designer preference! Methods used to date are largely primitive Multidisciplinary Design Optimization Optimization involves several disciplines e.g. Structures, Control, Aero, Manufacturing Issues: Human and computational infrastructure, cultural administrative, communication, software, computing time, methods All optimization is or should be) multiobjective Minimizing mass alone, as is often done, is problematic o Massachusetts Institute of Technology -Prof. de Weck and Prof Willcox Engineering Systems Division and Dept of Aeronautics and Astronautics9 © Massachusetts Institute of Technology - Prof. de Weck and Prof. Willcox Engineering Systems Division and Dept. of Aeronautics and Astronautics Multiobjective vs. Multidisciplinary Multiobjective vs. Multidisciplinary • Multiobjective Optimization – Optimizing conflicting objectives – e.g., Cost, Mass, Deformation – Issues: Form Objective Function that represents designer preference! Methods used to date are largely primitive. • Multidisciplinary Design Optimization – Optimization involves several disciplines – e.g. Structures, Control, Aero, Manufacturing – Issues: Human and computational infrastructure, cultural, administrative, communication, software, computing time, methods • All optimization is (or should be) multiobjective – Minimizing mass alone, as is often done, is problematic