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An Improved High-Dimensional Kriging Surrogate Modeling Method through Principal Component Dimension Reduction

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Summary: The proposed method improves the GEI criterion into dual objectives and utilizes multi-objective PSO method to optimize these objectives, producing the Pareto frontier for updating the Kriging model. Test results show that this method outperforms other classical optimization methods in terms of convergence and accuracy.

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