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作 者:李雪 丁正生[1] LI Xue;DING Zhengsheng(College of Science,Xi'an University of Science and Technology,Xi'an 710054,Shaanxi,China)
出 处:《云南大学学报(自然科学版)》2025年第1期60-69,共10页Journal of Yunnan University(Natural Sciences Edition)
基 金:国家自然科学基金(12302038)。
摘 要:针对原始哈里斯鹰优化(Harris Hawks optimization,HHO)算法收敛精度低、收敛速度慢和易陷入局部最优的问题,提出一种混合策略改进的哈里斯鹰优化算法(Sinh Cosh Cauchy Harris Hawks optimization,SCCHHO).首先,使用佳点集初始化种群,增加种群多样性;其次,引入双曲正余弦权重因子提高算法的全局搜索能力;然后,在局部搜索阶段引入柯西变异算子,帮助算法跳出局部最优;另外,采用了重启策略,提高了算法的收敛精度和后期的搜索能力.仿真实验采用不同类型的测试函数对改进算法进行了性能测试,实验数据结果、Wilcoxon符号秩检验和算法的收敛曲线表明算法的优越性.并通过对压力容器设计问题求解,验证了SCCHHO算法具有良好的适用性和有效性.最后,利用改进算法优化最小二乘支持向量机参数,并应用于波士顿房价预测,实验结果进一步验证混合策略改进的哈里斯鹰优化算法是有效的.To solve the problems of low convergence accuracy,slow convergence speed and local optimum of the original Harris Eagle optimization algorithm,a hybrid strategy improved Harris Eagle optimization algorithm is proposed.Firstly,the good point set is used to initialize the population and increases the population diversity.Secondly,hyperbolic sine-cosine weight factor is introduced to improve the global search ability of the algorithm.Then,the Cauchy mutation operator is introduced in the local search stage to help the algorithm jump out of the local optimal.In addition,the restart strategy is adopted to improve the convergence accuracy and search ability of the algorithm.Through simulation experiments,different types of test functions are used to test the performance of the improved algorithm.Through experimental data and convergence curve analysis algorithm,Wilcoxon rank sum test is used to check the performance of the algorithm.And by solving the pressure vessel design problem,the applicability and effectiveness of the SCCHHO algorithm are further verified.Finally,the improved algorithm is used to optimize the parameters of least squares support vector machine and is applied to Boston housing price prediction.The experimental results further verify the effectiveness of the hybrid strategy improved Harris eagle optimization algorithm.
关 键 词:哈里斯鹰优化算法 佳点集 双曲正余弦惯性权重 柯西变异 重启策略
分 类 号:TP301.6[自动化与计算机技术—计算机系统结构]
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