一个递归实现的ALIENOR优化方法

D. Peri
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引用次数: 0

摘要

目的针对ALIENOR法求解困难的问题,提出了一种递归算法。结合α -密度曲线的密度变化,提出了对最有希望的区域的逐步关注。设计/方法/方法alienor方法旨在通过使用单个α -密度曲线来跨越优化问题,从而降低优化问题的空间维度:沿着曲线的曲线横坐标成为任何设计空间的唯一设计参数。与之对应的是,目标函数在投影空间中的变换更难处理。对程序进行了微调,以便确定程序的不同元素之间的正确平衡。该方法已通过使用一组包含多达1,024个设计变量的代数函数进行测试,证明了该方法解决大规模优化问题的能力。并给出了一个工业应用。原创性/价值据作者所知,目前文献中没有类似的论文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A recursive implementation of the ALIENOR optimization method
PurposeA recursive scheme for the ALIENOR method is proposed as a remedy for the difficulties induced by the method. A progressive focusing on the most promising region, in combination with a variation of the density of the alpha-dense curve, is proposed.Design/methodology/approachALIENOR method is aimed at reducing the space dimensions of an optimization problem by spanning it by using a single alpha-dense curve: the curvilinear abscissa along the curve becomes the only design parameter for any design space. As a counterpart, the transformation of the objective function in the projected space is much more difficult to tackle.FindingsA fine tuning of the procedure has been performed in order to identity the correct balance between the different elements of the procedure. The proposed approach has been tested by using a set of algebraic functions with up to 1,024 design variables, demonstrating the ability of the method in solving large scale optimization problem. Also an industrial application is presented.Originality/valueIn the knowledge of the author there is not a similar paper in the current literature.
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