计算机工程与应用2025，Vol.61Issue(18)：114-131,18.DOI:10.3778/j.issn.1002-8331.2501-0212
混合策略改进的鱼鹰优化算法及其工程应用
Hybrid Strategy Improved Osprey Optimization Algorithm and Its Engineering Application
摘要
Abstract
Aiming at the defects of osprey optimization algorithm,such as weak global search ability,unbalanced explora-tion and exploitation,and easy to fall into local optimum,a hybrid strategy improved osprey optimization algorithm is pro-posed.A high-altitude flying exploration strategy is designed for the behavior of the osprey after the failure of fishing,which improves the global search ability of the algorithm,and then enhances the ability of the algorithm to get rid of the local extremum.An adaptive balance energy factor is introduced in the exploitation stage of the algorithm to balance the exploration and exploitation of the algorithm.In order to verify the performance of the proposed algorithm,it is experi-mentally compared with seven optimization algorithms on the CEC2017 test set,CEC2019 test set and CEC2022 test set,and the Wilcoxon rank sum test and Friedman test are performed on the experimental results.The experimental results show that the proposed algorithm has better optimization accuracy,convergence speed,and robustness.The effectiveness and practicality of the proposed algorithm are further verified by simulation experiments on 12 real-world engineering constrained optimization problems and robot path planning problems.关键词
鱼鹰优化算法/高空翱翔勘探/平衡能量因子/工程优化问题/路径规划Key words
osprey optimization algorithm/high-altitude flying exploration/balance energy factor/engineering optimiza-tion problems/path planning分类
信息技术与安全科学引用本文复制引用
田云娜,李奕轩,王凯欣..混合策略改进的鱼鹰优化算法及其工程应用[J].计算机工程与应用,2025,61(18):114-131,18.基金项目
国家自然科学基金(61763046,62041212). （61763046,62041212）
