Incremental Kriging-based sequential optimization test design method

An experimental design, incremental technology, applied in design optimization/simulation, calculation, special data processing applications, etc., can solve problems such as time-consuming, Kriging model cannot meet accuracy requirements, Kriging model cannot be used normally, etc., to solve the equilibrium problem , the effect of improving modeling efficiency

Inactive Publication Date: 2017-11-21
XUCHANG UNIV
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Problems solved by technology

[0005] The Kriging model constructed by one test design cannot meet the accuracy requirements
First of all, for a large number of simulation es

Method used

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  • Incremental Kriging-based sequential optimization test design method
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  • Incremental Kriging-based sequential optimization test design method

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Embodiment Construction

[0029]In order to facilitate the understanding of the present invention, the present invention will be described in more detail below in conjunction with the accompanying drawings and specific embodiments. Preferred embodiments of the invention are shown in the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described in this specification. On the contrary, these embodiments are provided to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0030] It should be noted that when an element is referred to as being “fixed” to another element, it can be directly on the other element or there can also be an intervening element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical", "horizontal", "left", "right" and ...

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Abstract

The invention discloses an incremental Kriging-based sequential optimization test design method. The method comprises the following steps of performing initial test design; performing initial modeling; performing model verification; performing optimization sampling; judging an update criterion of a Kriging model by adopting a six sigma update criterion; and performing incremental Kriging modeling or DACE modeling. The whole algorithm is divided into two parts according to the design of the algorithm: the first part is building of incremental Kriging, namely, quick building of the Kriging model is realized by performing transform, Joris factor decomposition and maximum likelihood estimation operations on a correlation matrix, a target function matrix and a regressive function matrix after addition of sampling points; and the second part is a sequential optimization test design stage, namely, the optimization sampling of new design points is finished through maximized variance optimization and the six sigma update criterion, and the operation is repeated, so that global modeling efficiency of the Kriging model is greatly improved under the condition of meeting model precision.

Description

technical field [0001] The invention relates to the field of intelligent optimization based on metamodel and computer simulation application, in particular to a sequential optimization test design method based on incremental Kriging. Background technique [0002] Although the calculation speed of computers continues to increase, the modeling and analysis of complex electromechanical products using finite element analysis and computational fluid dynamics still requires a lot of calculation time, which cannot meet the needs of the industry for simulation analysis. To deal with the great challenge, the Kriging method has emerged and been widely used in the industry in the past few decades. This method can minimize the number of simulations of the source model in the optimization iteration process without affecting the accuracy of the simulation model, thereby reducing the consumption of computing resources. [0003] Kriging is an interpolation method that predicts unknown obse...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/17G06F30/20
Inventor 李耀辉晁艳普
Owner XUCHANG UNIV
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