Sequence radial basis function agent model-based high-efficiency global optimization method

Abstract

The invention relates to a sequence radial basis function agent model-based high-efficiency global optimization method, and belongs to the technical field of multidisciplinary optimization in engineering design. The method comprises the following steps of: according to initial conditions given by a user, selecting sample points in a primary iteration design space, calculating a response value of a true model, constructing a radial basis function agent model, calculating the current optimal solution of the radial basis function (RBF) agent model, calculating a response value of the possible optimal solution of the current iteration in the true model, judging whether the global optimization method meets the convergence criterion, determining an important sampling space of the next iteration, increasing new sample points in the constructed important sampling space by an experimental design calculation method, saving the new sample points in a design sample point database and making k equal to k+1, and switching to the constructed radial basis function agent model for the next iteration. Through the method, the true models in the engineering design and analysis software are approximated, and the optimization design of the true models only takes several or dozens of seconds, so the period of the engineering optimization design is greatly shortened, the design cost is greatly saved and the efficiency is obviously improved.

Description

technical field [0001] The invention relates to an efficient global optimization method based on a sequence radial basis surrogate model, and belongs to the technical field of multidisciplinary optimization in engineering design. Background technique [0002] Today's engineering optimization problems are more and more complex, and many hybrid analysis and simulation software are used in design and research, but most of these analysis and simulation problems are high-precision analytical models, such as finite element analysis (FEA) used in structural analysis. Models, Computational Fluid Dynamics (CFD) analysis models used in aerodynamic analysis, etc. The high-precision analysis model not only improves the analysis accuracy and reliability, but also brings the problem of time-consuming calculation. Although today's computer software and hardware technology has made great progress, it is still extremely time-consuming to call the high-precision analysis model to complete an ...

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Problems solved by technology

[0046] In view of the time-consuming calculation in the process of optimizing the high-precision analysis model by using the traditional global optimization algorithm, and the defects that more sample points are required to construct the proxy model by using the radial basis proxy model technology, the present invention proposes a sequence-based An Efficient Global Optimization Method for Baseline Surrogate Models

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