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MULTI-OBJECTIVE ENGINEERING DESIGN OPTIMIZATION USING SEQUENTIAL ADAPTIVE SAMPLING IN THE PARETO OPTIMAL REGION
MULTI-OBJECTIVE ENGINEERING DESIGN OPTIMIZATION USING SEQUENTIAL ADAPTIVE SAMPLING IN THE PARETO OPTIMAL REGION
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机译：在帕累托最优区域中使用顺序自适应采样的多目标工程设计优化
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摘要
Systems and methods of selecting sampling points (product designs) in a multi-objective engineering design optimization of a product are disclosed. The method comprises (a) receiving a description of the product to be optimized, (b) selecting an initial set of sampling points in a design variable space of the product, (c) obtaining numerically-simulated structural responses of each of the current set, (d) deriving a set of approximate POPs from optimization using metamodels constructed from numerically-simulated structural responses, (e) establishing subregions around POF kernels that are selected from approximate POPs using “Piercing” procedure, (f) creating a set of Diversity Basis Points by populating the subregions with a space filling criterion, (g) selecting another set of sampling points from a combined group of the Diversity Basis Points and POF kernels using “Piercing” procedure, (h) reducing the subregion size, and (i) repeating (c)-(h) until a termination condition has been reached.
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