Abstract
In the design of electromagnetic systems, uncertainty which is ascribed to, for example, production errors or deviations of materials should be taken into account. However, conventional optimization methods, which play a crucial role in the design process, cannot effectively treat the uncertainty. In this paper, two novel robust optimization methods, which require no significant increase in the computational cost, are introduced. Moreover, they are applied to optimization problems of electromagnetic systems to test their usefulness and validity.
