Topology structural optimization using a hybrid of GA and ESO methods

H. Kajiwara, T. Hiroyasu, M. Miki, Akira Hashimoto
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引用次数: 1

Abstract

To design a more economical structural form, it is necessary to optimize both the topology and shape of structures. To optimize topology, we propose a hybrid of Genetic Algorithm (GA) and Evolutionary Structural Optimization (ESO). This paper describes the considerations in applying the proposed method to topology structural optimization. Through numerical examples, the proposed method showed better search ability than GA or ESO methods alone. Moreover, this hybrid method makes it possible to design a more economical structural form.
基于遗传算法和ESO方法的拓扑结构优化
为了设计一种更经济的结构形式,有必要对结构的拓扑结构和形状进行优化。为了优化拓扑结构,我们提出了一种遗传算法(GA)和进化结构优化(ESO)的混合算法。本文介绍了将该方法应用于拓扑结构优化的注意事项。数值算例表明,该方法比单独的遗传算法和ESO算法具有更好的搜索能力。此外,这种混合方法使设计更经济的结构形式成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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