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.

Multi-Objective Optimization of a Wireless Body Area Network for Varying Body Positions

“…The design of electromagnetic devices and systems typically requires controlling several aspects of their performance, resulting in multiple design criteria that give rise to multi-objective design problems [ 10 , 11 , 12 , 13 , 14 , 15 , 16 ]. To cope with a vector of design criteria, a fully Pareto-like formulation or a preference-function approach can be used.…”