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Particle swarm optimisation with dynamic spread factor with application to modelling of a flexible beam structure

机译:具有动态扩展因子的粒子群算法在柔性梁结构建模中的应用

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This paper a particle swarm optimization (PSO) algorithm with dynamic spread factor inertia weight and it application to dynamic modeling of a flexible beam structure. In this study, system identification scheme based on PSO is formulated to obtain a dynamic model of the beam in parametric form. A PSO algorithm with dynamic spread factor inertia weight is proposed and its performance is assessed in comparison to a PSO with linearly varying inertia weight in modelling the flexible beam structure.
机译:本文提出了一种具有动态扩展因子惯性权重的粒子群算法(PSO),并将其应用于柔性梁结构的动力学建模。在这项研究中,制定了基于PSO的系统识别方案,以参数形式获得梁的动态模型。提出了一种具有动态扩展因子惯性权重的PSO算法,并与在柔性梁结构建模中具有线性变化的惯性权重的PSO相比,评估了其性能。

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