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10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
Surrogate-based optimization methods have become established as effective techniques for engineering design problems through their ability to tame nonsmoothness and reduce computational expense. In recent years, supporting mathematical theory has been developed to provide the foundation of provable convergence for these methods. One of the requirements of this provable convergence theory involves consistency between the surrogate model and the underlying truth model that it approximates. Thisdoi:10.2514/6.2004-4457 fatcat:xk5xd7mhlbb3hdym7cyt7seaja