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A Bilevel Methodology for Solving a Structural Optimization Problem with both Continuous and Categorical Variables

机译:解决含连续变量和分类变量的结构优化问题的双层方法

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In industrial structural optimization problems, two kinds of variables are involved : continuous variables, like geometrical parameters, and categorical variables like choices of material and cross-sectional shapes. A key difficulty of this kind of problem is the sensitivity of the computation cost with respect to the number of categorical design variables. In this article, a new methodology is proposed to address this mixed continuous-categorical structural optimization problem. For this purpose, a 10-bar truss test case representative for industrial design is introduced. Promising results have been obtained in terms of computation cost, compared to approaches based on combinatorial algorithms.
机译:在工业结构优化问题中,涉及两种变量:连续变量(例如几何参数)和分类变量(例如材料和横截面形状的选择)。这种问题的关键困难是计算成本相对于分类设计变量的数量的敏感性。在本文中,提出了一种新的方法来解决这种混合的连续类别结构优化问题。为此,介绍了一种用于工业设计的10巴桁架测试用例。与基于组合算法的方法相比,在计算成本方面获得了可喜的结果。

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