Gradient-Based Worst Case Search Algorithm for Robust Optimization

Abstract

The worst case search plays a fundamental role in the design of electromagnetic devices when robustness versus tolerances has to be pursued. Here, an approach is proposed to evaluate in effective and fast way the worst solution, when both the performance function and tolerance constraint function gradients are available. The algorithm is then generalized for the cases when such information is not explicitly given.