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SEARCH AND POLL METHOD FOR SOLVING MULTI-FIDELITY OPTIMIZATION PROBLEMS
SEARCH AND POLL METHOD FOR SOLVING MULTI-FIDELITY OPTIMIZATION PROBLEMS
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机译:搜索和投票的方法来解决多模式优化问题
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摘要
A computer-implemented search and poll method can iteratively solve a multi-fidelity optimization problem including an objective function and any constraints. A search step of the method includes constructing and optimizing surrogates of the objective function and any constraints to identify a new set of trial points, and running lower fidelity simulations in ascending order to reduce a number of trial points in the new set. The search step further includes evaluating the reduced number of trial points with the objective function and any constraints using a high fidelity simulation.
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