Robust Optimization: Concepts and Applications

José Álvarez García, Alvaro Peña
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引用次数: 33

Abstract

Robust optimization is an emerging area in research that allows addressing different optimization problems and specifically industrial optimization problems where there is a degree of uncertainty in some of the variables involved. There are several ways to apply robust optimization and the choice of form is typical of the problem that is being solved. In this paper, the basic concepts of robust optimization are developed, the different types of robustness are defined in detail, the main areas in which it has been applied are described and finally, the future lines of research that appear in this area are included.
鲁棒优化:概念和应用
鲁棒优化是一个新兴的研究领域,它允许解决不同的优化问题,特别是工业优化问题,其中一些变量存在一定程度的不确定性。有几种方法可以应用鲁棒优化,形式的选择是正在解决的问题的典型方法。本文发展了鲁棒优化的基本概念,详细定义了不同类型的鲁棒性,描述了鲁棒优化的主要应用领域,并对该领域的未来研究方向进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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