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Suspension System Design Problem: This design has two design objectives. Also, it has 27 design variables. The design goal is to minimize the Yaw-range and the Roll-Range of tire motion. This problem is not easy because it is a multi-objective problem and has too many design variables. In general, other design tools employ D-Optimal design or Latin Hypercube for constructing the meta model. Suppose that construct a quadratic response surface model, D-optimal design fundamentally requires 406 sampling points, which is evaluate by using 1+2*27+27*26/2. AutoDesign uses however only 44 evaluations to solve the problem without variable screening.
Key Point: Study the concept of multi-objective optimization and the procedure of screening design variables.
