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Robustness - a challenge also for the 21st century: A review of robustness phenomena in technical, biological and social systems as well as robust approaches in engineering, computer science, operations research and decision aiding

机译:稳健性 - 对21世纪也是一个挑战:审查技术,生物和社会系统中的稳健性现象以及工程,计算机科学,运筹学和决策辅助方面的强有力方法

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摘要

Notions on robustness exist in many facets. They come from different disciplines and reflect different worldviews. Consequently, they contradict each other very often, which makes the term less applicable in a general context. Robustness approaches are often limited to specific problems for which they have been developed. This means, notions and definitions might reveal to be wrong if put into another domain of validity, i.e. context. A definition might be correct in a specific context but need not hold in another. Therefore, in order to be able to speak of robustness we need to specify the domain of validity, i.e. system, property and uncertainty of interest. As proofed by Ho et al. in an optimization context with finite and discrete domains, without prior knowledge about the problem there exists no solution what so ever which is more robust than any other. Similar to the results of the No Free Lunch Theorems of Optimization (NLFTs) we have to exploit the problem structure in order to make a solution more robust. This optimization problem is directly linked to a robustness/fragility tradeoff which has been observed in many contexts, e.g. 'robust, yet fragile' property of HOT (Highly Optimized Tolerance) systems. Another issue is that robustness is tightly bounded to other phenomena like complexity for which themselves exist no clear definition or theoretical framework. Consequently, this review rather tries to find common aspects within many different approaches and phenomena than to build a general theorem for robustness, which anyhow might not exist because complex phenomena often need to be described from a pluralistic view to address as many aspects of a phenomenon as possible. First, many different robustness problems have been reviewed from many different disciplines. Second, different common aspects will be discussed, in particular the relationship of functional and structural properties. This paper argues that robustness phenomena are also a challenge for the 21st century. It is a useful quality of a model or system in terms of the 'maintenance of some desired system characteristics despite fluctuations in the behaviour of its component parts or its environment' (s. [Carlson and Doyle, 2002], p. 2). We define robustness phenomena as solution with balanced tradeoffs and robust design principles and robustness measures as means to balance tradeoffs.
机译:关于鲁棒性的概念存在于许多方面。它们来自不同的学科,反映了不同的世界观。因此,它们经常相互矛盾,这使得该术语在一般情况下不太适用。稳健性方法通常仅限于已针对其开发的特定问题。这意味着,如果将概念和定义放到另一个有效性域(即上下文)中,可能会发现是错误的。一个定义在特定上下文中可能是正确的,但不必在另一个上下文中保留。因此,为了能够说出鲁棒性,我们需要指定有效性的范围,即系统,属性和感兴趣的不确定性。如Ho等人所证明。在具有有限域和离散域的优化上下文中,没有对问题的先验知识,就没有解决方案比其他任何方案都更强大。与无免费午餐优化定理(NLFT)的结果类似,我们必须利用问题结构以使解决方案更可靠。该优化问题直接与在许多情况下观察到的鲁棒性/脆弱性权衡有关。 HOT(高度优化公差)系统的“坚固而脆弱”特性。另一个问题是,鲁棒性与其他现象(如复杂性)紧密相关,而复杂性本身并没有明确的定义或理论框架。因此,本综述宁愿尝试在许多不同的方法和现象中找到共同的方面,而不是为鲁棒性建立一个通用的定理,因为通常需要从多元化的角度描述复杂的现象以解决现象的许多方面,所以稳健性定理可能不存在。尽可能。首先,许多不同的学科已经审查了许多不同的鲁棒性问题。其次,将讨论不同的共同方面,特别是功能和结构特性之间的关系。本文认为,鲁棒性现象也是21世纪的挑战。在“维持某些期望的系统特性而不管其组成部分或环境行为的波动”方面,这是一个有用的模型或系统的品质(s。[Carlson and Doyle,2002],p。2)。我们将稳健性现象定义为平衡权衡的解决方案,并将稳健性设计原则和稳健性度量作为平衡权衡的手段。

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    Hufcser Christian;

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  • 年度 2006
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  • 原文格式 PDF
  • 正文语种 eng
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