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Boundary-approaching particle swarm optimization in reliability-based design optimization

机译:基于可靠性的设计优化中的逼近粒子群算法

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The purpose of reliability-based design optimization (RBDO) is to find a balanced design that is not only economical but also reliable in the presence of uncertainty. Practical applications of RBDO involve discrete design variables, which are selected from commercially available lists, and non-smooth (non-differentiable) performance functions. The proposed PSO algorithm extends standard PSO to include a new feature: boundary-approaching. The proposed boundary-approaching PSO algorithm (B-PSO) is used to find the optimal design of a ten-bar truss, whose component sizes are selected from commercial standards, while reliability constraints are imposed by the current design code. In multiple trials, the B-PSO algorithm is able to deliver competitive solutions with consistency.
机译:基于可靠性的设计优化(RBDO)的目的是找到一种平衡的设计,这种设计不仅经济而且在存在不确定性的情况下也是可靠的。 RBDO的实际应用涉及离散的设计变量和非平滑的(不可微分的)性能函数,这些变量是从市售列表中选择的。提出的PSO算法扩展了标准PSO,以包括一个新功能:边界处理。提出的边界逼近PSO算法(B-PSO)用于找到十杆桁架的最佳设计,其构件尺寸是从商业标准中选择的,而可靠性约束则受当前设计规范的约束。在多次试验中,B-PSO算法能够提供具有一致性的竞争解决方案。

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