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

M. Mohamad, M. Tokhi, I. A. Latiff
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引用次数: 1

Abstract

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.
动态扩展因子粒子群优化及其在柔性梁结构建模中的应用
提出了一种带有动态扩展因子惯性权重的粒子群优化算法,并将其应用于柔性梁结构的动力学建模。本文提出了基于粒子群算法的系统辨识方案,得到了梁的参数化动力学模型。提出了一种具有动态扩展因子惯性权值的粒子群算法,并与具有线性变化惯性权值的粒子群算法进行了比较,对其在柔性梁结构建模中的性能进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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