Application of Multifidelity Expected Improvement Algorithms to Aeroelastic Design Optimization
Patrick H. Reisenthel, Theodore T. Allen · 2014
An efficient, radial basis function-based extension of multifidelity sequential Kriging optimization was developed. This method, referred to as multifidelity sequential radial basis optimization (MFSRBO) addresses multicriteria optimization involving more than a single type of model representing more than a single discipline, and takes into account both the location in design space and the fidelity of further data acquisition/infills. Several variants of the method are discussed, and their potential assessed for future development. The application of MFSRBO is illustrated on a UAV wing design function integrating information from structural and fluid models.