Incremental Kriging based sequential optimization experiment design method

作者: Yang Xiaobo , Yang Fei , Cai Ziliang , Li Yuelei , Li Yaohui

DOI:

关键词: Sequential optimizationMathematical optimizationSampling (statistics)Design of experimentsComputer experimentComputer scienceReduction (complexity)Dimension (vector space)Model buildingKriging

摘要: The invention discloses an incremental Kriging based sequential optimization experiment design method. method comprises the following steps: 1, selecting initial design; 2, initially building a model and verifying model; 3, of (IKM); 4, optimizing sampling rule; 5, updating 6, through DACE (design analysis computer experiment). used for is effective, but time abruptly increases as points increase (when quantity more than 600 in case two dimension). To solve problem, improved provided, has advantage that consumption can be minimized large amount points; due to reduction time, widely applied engineering simulation.

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