Abstract
For vibration isolation problem typified by car suspension, it is necessary to balance the competing demand of isolating disturbance from floor, at the same time reducing the positional change against the disturbance applied to the mass point itself. It is known that multiobjective optimization approach is effective for such a problem, but the approach was not positively used in terms of computational cost. In this paper, an efficient multiobjective optimization algorithm developed recently named Normal-Boundary Intersection is introduced and applied to a simple suspension model. It is demonstrated that the algorithm is one of the effective approaches for vibration isolation problem. Practical issues on applying multiobjective optimization are also indicated.
