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Research of multi-point infill criteria based on multi-objective optimization front and its application on aerodynamic shape optimization:

机译:基于多目标优化前沿的多点填充准则研究及其在空气动力学形状优化中的应用:

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摘要

In this article, efficient multi-point infill criteria based on multi-objective optimization front and its applications on analytic functions and airfoil aerodynamic shape optimization are researched. In the expensive optimization, an excellent infill algorithm should meet the demand of local exploitation and global exploration at the same time, which stand for the optimization accuracy and efficiency, respectively. In the proposed infill criteria, the predicted value and a statistic variable are chosen as objectives to implement optimization, and the obtained front stands for the points which strike a balance between local optimization accuracy and global optimization efficiency. The test results of four analytic functions, which has 2 to 20 variables, show that compared with expected improvement algorithm, the proposed multi-point infill algorithm can save 85% iteration times, so the computation efficiency could be increased remarkably. The airfoil optimization design is adopted to test the validity and...
机译:本文研究了基于多目标优化前沿的高效多点填充准则及其在解析函数和机翼气动形状优化中的应用。在昂贵的优化中,出色的填充算法应同时满足局部开发和全局勘探的需求,分别代表优化精度和效率。在提出的填充标准中,选择预测值和统计变量作为实现优化的目标,并且获得的前沿代表在局部优化精度和全局优化效率之间取得平衡的点。四个具有2至20个变量的解析函数的测试结果表明,与预期的改进算法相比,所提出的多点填充算法可以节省85%的迭代时间,从而可以显着提高计算效率。采用翼型优化设计来检验其有效性和有效性。

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