A hybrid one-then-two stage algorithm for computationally expensive electromagnetic design optimization

Download

PDF Download (134Kb)

Description/Abstract

A novel kriging-assisted algorithm is proposed for computationally expensive single-objective optimization. The principle behind the algorithm is to use information about objective function space at the earliest possible opportunity. After constructing a very small experimental design, a one-stage optimization algorithm is used to select further points to evaluate in design variable space. These points are then used in lieu of a traditional space-filling experimental design to construct the initial kriging model for a normal two-stage optimization algorithm.