Application of artificial bee colony algorithm for structural topology optimization

Chae-Ho Lee, Ji-Yong Park, Jae-Yong Park, Seog-young Han
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引用次数: 3

Abstract

Artificial bee colony algorithm (ABCA) as one of swarm intelligence methods and finite element analysis are first adopted for structural topology optimization. The objective of the paper is to examine the effectiveness and applicability of the suggested ABCA in structural topology optimization. This paper describes considerable modifications made to the ABCA in order to solve discrete topology optimization problems. The desirable conclusions are obtained through the results of the examples based on the suggested ABCA.
人工蜂群算法在结构拓扑优化中的应用
作为群体智能方法之一的人工蜂群算法(ABCA)和有限元分析首次被用于结构拓扑优化。本文的目的是检验所建议的ABCA在结构拓扑优化中的有效性和适用性。本文描述了为了解决离散拓扑优化问题而对ABCA进行的大量修改。在此基础上,通过算例分析,得到了满意的结论。
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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