几种优化算法在平面度误差评定中的适应性研究

Study on Adaptability of Several Optimization Algorithms Used in Evaluation Flatness Error

为了快速、精确地评定平面度误差,建立了平面度误差评定模型,对海鸥优化算法进行了改进。将粒子群优化算法、萤火虫和粒子群混合算法、原子搜索优化算法、海鸥优化算法和改进的海鸥算法应用于平面度误差的评定。引入边界因子控制搜索范围,设置一系列边界因子值,分别用上述五种优化方法对八个试样进行平面度误差评定。基于算法的计算精度、效率和边界因子影响三个方面对五种算法在平面度误差评定中的适应性进行了研究,对部分评定结果进行图形显示。研究结果表明:原子搜索优化算法在五个算法中适应性最差,计算精度最低,平面度误差值随着边界因子的增大波动最大,并且毫无规律,应用时不易设置合适的边界因子;改进后的海鸥优化算法在评定平面度误差时,平面度误差结果精度最高,且受边界因子的影响较小,计算效率较高,是综合考虑算法精度、效率和边界因子的影响后,五种算法中对平面度误差的评定适应性最好的算法。

In order to evaluate the flatness error quickly and accurately.The flatness error evaluation model is established.The seagull optimization algorithm is improved.The particle swarm optimization algorithm,firefly and particle swarm optimization algorithm,atom search optimization algorithm,seagull optimization algorithm and improved seagull algorithm are applied to evaluate the flatness error.The boundary factor is introduced to control the search range,and a series of boundary factor values are set to evaluate the flatness error of eight samples by the above five optimization methods.The adaptability of the five algorithms in flatness error evaluation is studied from three aspects,calculation accuracy,efficiency and the influence of boundary factor.Some evaluation results are displayed graphically.The results show that the atomic search optimization algorithm has the worst adaptability and the lowest calculation accuracy among the five algorithms,and the flatness error value fluctuates the most with the increase of the boundary factor value,and it is not easy to set the appropriate boundary factor in application.The improved optimization algorithm in the flatness error evaluation,has the highest precision flatness error,and it is less affected by the boundary factor value,computational efficiency is higher,which considering algorithm accuracy,efficiency and boundary factor,the influence of five kinds of algorithms of flatness error evaluation of the best algorithm adaptability.