基于改进鲸鱼算法的B样条曲线拟合  

B-Spline Curve Fitting Based on Modified Whale Algorithm

作　　者：李赫 董祉序 LI He;DONG Zhi-xu(School of Mechanical Engineering,Shenyang University of Technology,Shenyang 110870,China;Key Laboratory of Numerical Control Manufacturing Technology for Complex Surfaces of Liaoning Province,Shenyang 110870,China)

机构地区：[1]沈阳工业大学机械工程学院,辽宁沈阳110870 [2]辽宁省复杂曲面数控制造技术重点实验室,辽宁沈阳110870

出　　处：《机械工程与自动化》2023年第5期3-5,共3页Mechanical Engineering & Automation

基　　金：国家自然科学基金资助项目(52005347)。

摘　　要：为改进鲸鱼算法的B样条曲线拟合在自动配置节点向量时收敛速度慢、局部搜索能力弱等缺点,采用Sobol序列来初始化种群,采用二次插值法来优化气泡网的捕捉策略。最后,通过3个测试函数仿真与另外2种算法的实验数据对比,验证了改进算法具有更好的全局收敛性和较快的收敛速度。In order to improve the B-spline fitting of the whale algorithm with slow convergence rate and weak local search ability when automatically configuring node vectors,Sobol sequence is used to initialize the population,and quadratic interpolation is used to optimize the capture strategy of the bubble net.Finally,through the comparison of the experimental data of three test functions and the other two algorithms,it is proved that the improved algorithm has better global convergence and faster convergence speed.

关 键 词：改进鲸鱼算法 二次插值 曲线拟合 节点向量 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]