Minimizing design criterion and sensitivity: Cost-effective evolutionary approach with application in mechatronics

Abstract

Optimizing against sensitivity is a major issue in optimal design of electromagnetic devices. In the paper, the optimal shape design problem against sensitivity is formulated in terms of Paretian optimality, trading off design criterion and sensitivity with respect to large-scale variations in the design space; a cost-effective evaluation of sensitivity, based on evolutionary computing, is proposed. The design optimization of a magnetic MEMS is considered as the case study.