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Variable Fidelity Surrogate Assisted Optimization Using A Suite of Low Fidelity Solvers

Mohammad Kashif Zahir, Zhenghong Gao
2012 Open Journal of Optimization  
Variable-fidelity optimization (VFO) has emerged as an attractive method of performing, both, high-speed and highfidelity optimization. VFO uses computationally inexpensive low-fidelity models, complemented by a surrogate to account for the difference between the high-and low-fidelity models, to obtain the optimum of the function efficiently and accurately. To be effective, however, it is of prime importance that the low fidelity model be selected prudently. This paper outlines the requirements
more » ... es the requirements for selecting the low fidelity model and shows pitfalls in case the wrong model is chosen. It then presents an efficient VFO framework and demonstrates it by performing transonic airfoil drag optimization at constant lift, subject to thickness constraints, using several low fidelity solvers. The method is found to be efficient and capable of finding the optimum that closely agrees with the results of high-fidelity optimization alone.
doi:10.4236/ojop.2012.11002 fatcat:jsekpn62c5ejxc4g7e7kh3wdle