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School based optimization algorithm for design of steel frames

机译:基于学校的钢框架设计优化算法

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In this paper, a school-based optimization (SBO) algorithm is applied to the design of steel frames. The objective is to minimize total weight of steel frames subjected to both strength and displacement requirements specified by the American Institute of Steel Construction (AISC) Load Resistance Factor Design (LRFD). SBO is a meta heuristic optimization algorithm inspired by the traditional educational process that operates within a multi classroom school. SBO is a collaborative optimization strategy, which allows for extensive exploration of the search space and results in high-quality solutions. To investigate the efficiency of SBO algorithm, several popular benchmark frame examples are optimized and the designs are compared to other optimization methods in the literature. Results indicate that SBO can develop superior low-weight frame designs when compared to other optimization methods and improves computational efficiency in solving discrete variable structural optimization problems.
机译:本文将基于校本的优化(SBO)算法应用于钢框架的设计。目的是使受美国钢结构学会(AISC)载荷抵抗系数设计(LRFD)规定的强度和位移要求的钢框架总重量最小化。 SBO是一种元启发式优化算法,其灵感来自在多教室学校中运行的传统教育过程。 SBO是一种协作式优化策略,可广泛探索搜索空间并提供高质量的解决方案。为了研究SBO算法的效率,对几个流行的基准框架示例进行了优化,并将设计与文献中的其他优化方法进行了比较。结果表明,与其他优化方法相比,SBO可以开发出出色的轻量化框架设计,并提高了解决离散变量结构优化问题的计算效率。

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