一种新的双向进化结构优化算法

Xiaodong Huang, Y. Xie, M. Burry
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引用次数: 78

摘要

提出了一种新的双向进化结构优化算法(BESO)。在新的BESO方法中,材料的添加和去除由单个参数控制,即体积(或重量)的去除比。迭代的收敛性由结构的性能指标决定。结果表明,该算法在效率和鲁棒性方面优于现有的ESO和BESO算法。给出并讨论了若干二维和三维刚度优化问题的实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new algorithm for bi-directional evolutionary structural optimization
In this paper, a new algorithm for bi-directional evolutionary structural optimization (BESO) is proposed. In the new BESO method, the adding and removing of material is controlled by a single parameter, i.e. the removal ratio of volume (or weight). The convergence of the iteration is determined by a performance index of the structure. It is found that the new BESO algorithm has many advantages over existing ESO and BESO methods in terms of efficiency and robustness. Several 2D and 3D examples of stiffness optimization problems are presented and discussed.
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