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Global Optimization with Higher Order Inclusion Function Forms Part 1: A Combined Taylor-Bernstein Form

机译:具有高阶包含函数形式的全局优化第1部分:泰勒-伯恩斯坦组合形式

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摘要

Recently, two versions of the so-called Taylor-Bernstein (TB) form having the property of higher order convergence were proposed in [5] and [10]. However, in many application problems, both these TB forms encounter difficulties in computing the range enclosures for some domain widths, due to excessive memory and/or time requirements. In this paper, we present a combined TB form that is more successful in computing the range enclosures as the domain shrinks from large to small widths. We test and compare the performance of the proposed form with those of the existing TB forms, the Taylor model of Berz et al. [1], and the simple natural inclusion function form. For the testing, we consider six benchmark examples with dimensions varying from 1 to 6. The results of the tests show that the proposed combined TB form is indeed more effective than the existing TB forms and the Taylor model, over the entire range of domain widths considered.
机译:最近,在[5]和[10]中提出了具有高阶收敛性的所谓的泰勒-伯恩斯坦(TB)形式的两个版本。但是,在许多应用程序问题中,由于过多的内存和/或时间要求,这两种TB形式在针对某些域宽度计算范围外壳时都会遇到困难。在本文中,我们提出了一种组合的TB形式,随着域从大到小逐渐缩小,该形式在计算范围围护方面更为成功。我们测试并比较了所提出的形式与现有的TB形式的性能,即Berz等人的Taylor模型。 [1],以及简单的自然包含函数形式。在测试中,我们考虑了六个基准示例,它们的尺寸从1到6不等。测试结果表明,在整个域宽度范围内,建议的组合TB形式确实比现有TB形式和Taylor模型更有效。考虑过的。

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