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首页> 外文期刊>American journal of applied sciences >Heuristic Algorithm in Optimal Discrete Structural Designs | Science Publications
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Heuristic Algorithm in Optimal Discrete Structural Designs | Science Publications

机译：最佳离散结构设计中的启发式算法科学出版物

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> This study proposes a Heuristic Algorithm for Material Size Selection (HAMSS). It is developed to handle discrete structural optimization problems. The proposed algorithm (HAMSS), Simulated Annealing Algorithm (SA) and the conventional design algorithm obtained from a structural steel design software are studied with three selected examples. The HAMSS, in fact, is the adaptation from the traditional SA. Although the SA is one of the easiest optimization algorithms available, a huge number of function evaluations deter its use in structural optimizations. To obtain the optimum answers by the SA, possible answers are first generated randomly. Many of these possible answers are rejected because they do not pass the constraints. To effectively handle this problem, the behavior of optimal structural design problems is incorporated into the algorithm. The new proposed algorithm is called the HAMSS. The efficiency comparison between the SA and the HAMSS is illustrated in term of number of finite element analysis cycles. Results from the study show that HAMSS can significantly reduce the number of structural analysis cycles while the optimized efficiency is not different.
机译： >这项研究提出了一种启发式的材料尺寸选择算法（HAMSS）。它是为处理离散的结构优化问题而开发的。通过三个示例，研究了从结构钢设计软件中获得的拟议算法（HAMSS），模拟退火算法（SA）和常规设计算法。 HAMSS实际上是对传统SA的改编。尽管SA是可用的最简单的优化算法之一，但是大量的功能评估阻止了其在结构优化中的使用。为了通过SA获得最佳答案，首先随机生成可能的答案。这些可能的答案中有许多都被拒绝了，因为它们没有通过约束。为了有效处理此问题，将最佳结构设计问题的行为纳入了算法。新提出的算法称为HAMSS。 SA和HAMSS之间的效率比较以有限元分析周期数表示。研究结果表明，HAMSS可以显着减少结构分析循环的次数，而优化效率不变。

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