一种结合改进的花授粉算法和双Kriging算法的鲁棒设计优化方法

IF 1.7 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Duo Zhang, Yonghua Li, Gaping Wang, Qing Xia, Hang Zhang
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引用次数: 0

摘要

本研究的目的是在考虑不确定性分析效率的同时,提出一种更精确的具有黑箱问题的机械结构稳健设计优化方法。该方法首先引入了一种双自适应混沌传粉算法(dual adaptive chaotic flower pollination algorithm, DACFPA),克服了原有传粉算法(flower pollination algorithm, FPA)在处理复杂优化问题时易受精度差和收敛效率低等缺点。在此基础上,通过对Kriging模型的相关参数进行优化,建立了DACFPA-Kriging模型。最后,为了提高不确定性分析的效率,构建了双Kriging模型,提出了一种基于dacfpa -双Kriging的稳健设计优化方法。结果DACFPA算法在求解精度、收敛速度和避免局部最优解能力等方面均优于FPA算法、粒子群算法和灰狼算法。此外,DACFPA-Kriging模型与原Kriging模型和FPA-Kriging模型相比,具有更好的预测精度和鲁棒性。将基于DACFPA-Dual-Kriging的稳健设计优化方法应用于电动多机组电机吊架的工程实例研究,结果表明该方法显著减小了最大等效应力的波动。本研究首次尝试利用改进的FPA提高Kriging模型的预测精度,并结合双Kriging模型进行不确定性分析,为具有黑箱问题的机械结构的鲁棒优化设计提供思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel robust design optimization method combining improved flower pollination algorithm and dual Kriging
Purpose This study aims to propose a more precise method for robust design optimization of mechanical structures with black-box problems, while also considering the efficiency of uncertainty analysis. Design/methodology/approach The method first introduces a dual adaptive chaotic flower pollination algorithm (DACFPA) to overcome the shortcomings of the original flower pollination algorithm (FPA), such as its susceptibility to poor accuracy and convergence efficiency when dealing with complex optimization problems. Furthermore, a DACFPA-Kriging model is developed by optimizing the relevant parameter of Kriging model via DACFPA. Finally, the dual Kriging model is constructed to improve the efficiency of uncertainty analysis, and a robust design optimization method based on DACFPA-Dual-Kriging is proposed. Findings The DACFPA outperforms the FPA, particle swarm optimization and gray wolf optimization algorithms in terms of solution accuracy, convergence speed and capacity to avoid local optimal solutions. Additionally, the DACFPA-Kriging model exhibits superior prediction accuracy and robustness contrasted with the original Kriging and FPA-Kriging. The proposed method for robust design optimization based on DACFPA-Dual-Kriging is applied to the motor hanger of the electric multiple units as an engineering case study, and the results confirm a significant reduction in the fluctuation of the maximum equivalent stress. Originality/value This study represents the initial attempt to enhance the prediction accuracy of the Kriging model using the improved FPA and to combine the dual Kriging model for uncertainty analysis, providing an idea for the robust optimization design of mechanical structure with black-box problem.
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来源期刊
CiteScore
3.70
自引率
5.00%
发文量
60
期刊介绍: Multidiscipline Modeling in Materials and Structures is published by Emerald Group Publishing Limited from 2010
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