采用元启发式算法的钢框架布局、拓扑和尺寸优化:比较研究

D. Prayogo, H. Santoso, Franky Budiman, Marcellino Jason
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引用次数: 0

摘要

确定结构单元的拓扑结构、布局和尺寸是钢结构抗震设计的重要方面之一。这些参数的优化有利于找到结构最轻的自重,从而降低施工成本。本研究比较了粒子群优化(PSO)、共生生物搜索(SOS)和差分进化(DE)三种元启发式算法的性能。为了在不违反SNI 1726:2019、SNI 1729:2020和SNI 7860:2020约束的情况下找到最轻的结构重量,使用了三个研究案例。研究结果表明,SOS的性能优于其他算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Layout, Topology, and Size Optimization of Steel Frame Design Using Metaheuristic Algorithms: A Comparative Study
Determining the topology, layout, and size of structural elements is one of the most important aspects in designing steel seismic-resistant structures. Optimization of these parameters is beneficial to find the lightest weight of the structure, thus reducing construction cost. This study compares the performance of three metaheuristic algorithms, namely, Particle Swarm Optimization (PSO), Symbiotic Organisms Search (SOS), and Differential Evolution (DE). Three study cases are used in order to find the lightest structural weight without violating constraints based on SNI 1726:2019, SNI 1729:2020, and SNI 7860:2020. The results of this study show that SOS has better performance than other algorithms.
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