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首页> 外文期刊>Journal of aerospace engineering >Discrete Optimum Design for Truss Structures by Subset Simulation Algorithm
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Discrete Optimum Design for Truss Structures by Subset Simulation Algorithm

机译：基于子集仿真算法的桁架结构离散优化设计

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This article deals with the design optimization of truss structures with discrete design variables, which remains quite a challenging task in structural design. A new discrete search strategy based on the recently developed subset simulation optimization algorithm is proposed in detail for this type of structural optimization. The discrete design variables are transformed into standard normal variable space to implement the sampling procedure in subset simulation optimization, while the optimization is processed in the discrete design space in the mean time. The performance of the proposed method is illustrated by four representative benchmark optimization problems. Comparisons are made with other well known stochastic optimization algorithms. It is found that the proposed method can produce optimum designs as good as or better than those of other stochastic optimization algorithms. (C) 2014 American Society of Civil Engineers.
机译：本文讨论具有离散设计变量的桁架结构的设计优化，这在结构设计中仍然是一项艰巨的任务。针对这种类型的结构优化，详细提出了一种基于最新开发的子集仿真优化算法的离散搜索策略。离散设计变量被转换到标准正态变量空间中，以实现子集仿真优化中的采样过程，而优化同时在离散设计空间中进行处理。四个代表性的基准优化问题说明了该方法的性能。与其他众所周知的随机优化算法进行了比较。发现所提出的方法可以产生与其他随机优化算法相同或更好的最优设计。 （C）2014年美国土木工程师学会。

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