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Integration methodology of different software tools for constrained optimization of structures

机译:用于约束优化的不同软件工具的集成方法

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摘要

It is somewhat impossible to define a general methodology for optimizing all structural problems. In this paper, we merely want to present an approach that integrates the available analysis software with complex optimization problems. The proposed methodology follows two main steps. First, the problem definition must be established, expressing explicit relationships between design variables and objective functions plus constraints. In order to do this with whichever problem may arise, we use interpolation schemes on a collection of different designs. The second step, is the minimization of the problem using any relevant technique, which could be applied. Both steps can be repeated in an iterative process, to find a minimum. Initially, the paper describes the main drawbacks of constrained optimization, later, a general methodology is proposed, so as to overcome these problems and finally a couple of assessment examples are presented.
机译:定义优化所有结构问题的通用方法在某种程度上是不可能的。在本文中,我们只想提出一种将可用的分析软件与复杂的优化问题集成在一起的方法。拟议的方法遵循两个主要步骤。首先,必须建立问题定义,表达设计变量与目标函数以及约束之间的明确关系。为了解决可能出现的任何问题,我们对不同设计的集合使用插值方案。第二步是使用可以应用的任何相关技术来最小化问题。这两个步骤可以在迭代过程中重复进行,以找到最小值。最初,本文描述了约束优化的主要弊端,随后,提出了一种通用方法来克服这些问题,最后给出了两个评估示例。

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