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作 者:李毅斌 周勇[1] Li Yibin;Zhou Yong
出 处:《起重运输机械》2021年第16期63-67,共5页Hoisting and Conveying Machinery
基 金:国家重点研发计划项目(2019YFB1600400)。
摘 要:为了解决起重机箱形主梁优化设计中的多变量、多约束问题,文中提出了一种基于引力导向策略和自适应步长策略的改进萤火虫算法。针对萤火虫算法寻优精度低和收敛速度慢等缺点,通过考虑邻域集内所有萤火虫的荧光素与距离的影响,改进了萤火虫移动方向选择策略,并根据吸引力大小与迭代次数自适应调整萤火虫个体的移动步长,提高了算法的全局优化能力和收敛性能,最后应用改进萤火虫算法与另外两种算法分别完成起重机箱形主梁优化设计。实验结果表明,改进萤火虫算法提高了算法的收敛速度和寻优精度,有效解决了起重机箱形主梁优化设计问题。In order to solve problems of multi-variables and multi-constraints in the optimization design of crane box girder,an improved firefly algorithm based on gravity-oriented strategy and adaptive step-size strategy is proposed in this paper.Considering the shortcomings of firefly algorithm,such as low optimization accuracy and slow convergence speed,the selection strategy of firefly moving direction was improved by considering the influence of fluorescein and distance of all fireflies in the neighborhood set,and the moving step size of fireflies was adaptively adjusted according to the attraction and iteration times,which improved the global optimization ability and convergence performance of the algorithm.Finally,the improved firefly algorithm and the other two algorithms are used to optimize the design of crane box girder.Results show that the improved firefly algorithm improves the convergence speed and optimization accuracy of the algorithm,and effectively solves the optimization design problem of the box-shaped main girder of the crane.
关 键 词:起重机 主梁 优化设计 萤火虫算法 移动方向选择策略
分 类 号:TH215[机械工程—机械制造及自动化]
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