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Optimization of Trusses Using Simulated Annealing for Discrete Variables

机译:不同变量模拟退火的桁架优化

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The simulated annealing (SA) algorithm is applied to the discrete structural optimization of trusses. Some approaches have been proposed to improved the basic procedures of the SA algorithm, such as the determination of initial temprature, the generation and acceptance of solutions, a recorder added, and the converage criterrion based on a newly defined relative precision. By using a multi-objective layout, the discrete optimization is combined with the continuous optizimation. The important algorithm control parameters, such as the number of random seeds and Markovian chain, are studied carefully by numerous tests. These improvements and studies have enhnced the robustness, efficiency and accuracy of the SA algorithm in the structural design optimazation problems. A certain number of traditional and a relatively complicated 200-bar problems are solved with the improved SA algorithm and compared with related examples in literatures. The numerical results have demonstrated that the improved SA algorithm of this paper has high-solution precision, and its solution efficiency has noticeably increased. It is hoped the SA algorithm can be applied in structural design optimization to make use of its advantages.
机译:模拟退火(SA)算法应用于桁架的离散结构优化。已经提出了一些方法来改善SA算法的基本程序,例如确定初始温度的确定,解决方案的产生和接受,录像机添加,以及基于新定义的相对精度的换气。通过使用多目标布局,离散优化与连续的光化结合。重要的算法控制参数,例如随机种子和马尔科夫链的数量,通过许多测试仔细研究。这些改进和研究促进了SA算法在结构设计求解问题中的鲁棒性,效率和准确性。通过改进的SA算法解决了一定数量的传统和相对复杂的200bOR问题,并与文献中的相关例子进行了比较。数值结果表明,本文的改进的SA算法具有高溶液精度,其解决方案效率明显增加。希望SA算法可以应用于结构设计优化以利用其优点。

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