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Application of a Multi-Objective Evolutionary Algorithm to Topological Optimum Design

机译:多目标进化算法在拓扑优化设计中的应用

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摘要

The paper deals with multi-objective Topological Optimum Design (TOD) problems. Considered optimization criteria are the minimization of both the mass of the structure and its maximal displacement under a prescribed loading. Multi-objective evolutionary algorithm using Voronoi representation are applied on the cantilever plate, the popular benchmark problems of TOD. The results are discussed in the light of the single objective approaches used in previous works: whereas the quality of the result is very similar, the number of Finite Element Analyzes needed to obtain a full set of trade-off structures by the multi-objective method is more or less the same that needed to obtain only one solution using a single-objective algorithm with a limit on the maximal displacement: This makes multi-objective approach extremely interesting for solving real life TOD problems where the evaluation cost is usually quite high while the possibility of making of a well justified choice of definitive design is very important.
机译:本文涉及多目标拓扑优化设计(TOD)问题。考虑的优化标准是在规定的载荷下结构的质量及其最大位移的最小化。在悬臂板上应用了基于Voronoi表示的多目标进化算法,这是TOD普遍存在的基准问题。根据先前工作中使用的单目标方法来讨论结果:尽管结果的质量非常相似,但通过多目标方法获得全套权衡结构所需的有限元分析的次数与使用具有最大位移限制的单目标算法仅获得一个解决方案所需的条件大致相同:这使得多目标方法对于解决现实中的TOD问题极为有趣,因为在评估过程中,TOD问题通常会产生很高的评估成本,而做出合理的最终设计选择的可能性非常重要。

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