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A new paradigm for concept selection in engineering design using multiobjective optimization.

机译:使用多目标优化的工程设计中概念选择的新范例。

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This thesis presents a new concept selection framework for engineering design using multiobjective optimization. The new framework capitalizes on the immense power of computational optimization by using it to evaluate disparate concepts early in the design process—before design freedoms have been significantly reduced. It is here, in the early phases of the engineering design process, that the impact of decision-making is the greatest. Interestingly, it is also in the early phases of design that the least rigorous decision-making methodologies are typically used. The new concept selection framework, set forth in this thesis, capitalizes on the efficiency and effectiveness of optimization to rapidly compare numerous designs, and characterize the tradeoff properties within the multiobjective design space. As such, the new framework differs significantly from traditional (non-optimization based) concept selection approaches where, comparatively speaking, significant time is often spent evaluating only a few points in the design space.; The new concept selection framework is based on the important principle of Pareto optimality, which defines an important class of optimal solutions to multiobjective optimization problems. The complete set of Pareto solutions is known as the Pareto frontier. Pareto frontiers are particularly useful in engineering design because they characterize the tradeoffs between competing design objectives.; Under the developments of this thesis, disparate design concepts are evaluated using a so-called s-Pareto frontier; this frontier originates from the Pareto frontiers of various disparate concepts, and is the Pareto frontier for the set of concepts. Similar to other Pareto frontiers, the s-Pareto frontier can be used to characterize the tradeoffs between design objectives. However, unlike other Pareto frontiers, the s-Pareto frontier can be used to characterize the tradeoffs between disparate design concepts. This property of the s-Pareto frontier is what makes it extremely useful for decision-making in conceptual design. The significance of the s-Pareto frontier is that it makes it possible to use optimization to explore the design space in the early phases of design—as it pertains to more than one concept.
机译:本文提出了一种采用多目标优化的工程设计新概念选择框架。新框架利用了计算优化的巨大威力,可以在设计过程的早期阶段评估不同概念之间的差异,从而大大降低了设计自由度。在工程设计过程的早期阶段,决策的影响才是最大的。有趣的是,在设计的早期阶段,通常也使用最不严格的决策方法。本文提出的新概念选择框架,利用优化的效率和有效性来快速比较众多设计,并描述多目标设计空间内的权衡特性。因此,新框架与传统的(基于非优化的)概念选择方法有很大不同,相对而言,传统的概念选择方法通常花费大量时间来评估设计空间中的几个点。新的概念选择框架基于帕累托最优的重要原则,该原则定义了针对多目标优化问题的一类重要的最优解。帕累托解决方案的完整集合称为帕累托边界。帕累托边界在工程设计中特别有用,因为它们体现了竞争设计目标之间的权衡。根据本文的发展,使用所谓的 Pareto frontier 对不同的设计概念进行了评估。此边界起源于各种不同概念的帕累托边界,而是该概念集的帕累托边界。与其他帕累托边界类似,s-帕累托边界可用于表征设计目标之间的权衡。 但是,与其他Pareto边界不同,s-Pareto边界可用于表征不同设计概念之间的权衡。。 s-Pareto边界的这一特性使其对于概念设计中的决策极为有用。 s-Pareto前沿的意义在于,它可以在设计的早期阶段使用优化来探索设计空间,因为它涉及多个概念。

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