一种改进的鱼鹰优化算法

吉林大学学报(信息科学版) ›› 2025, Vol. 43 ›› Issue (1): 126-133.

一种改进的鱼鹰优化算法

邰志艳¹, 邢维康¹, 谷佳澄¹, 刘铭¹, 于晓东²

1. 长春工业大学数学与统计学院, 长春 130012; 2. 上海杉达学院信息科学与技术学院, 上海 201209

收稿日期:2023-12-05 出版日期:2025-02-24 发布日期:2025-02-24
通讯作者: 于晓东(1976— ), 男, 上海人, 上海杉达学院副教授, 硕士生导师, 主要从事机器学习及智能计算研究, (Tel)86-18910271855(E-mail)xdyu@ sandau. edu. cn。 E-mail:xdyu@ sandau. edu. cn
作者简介: 邰志艳(1976— ), 女, 吉林德惠人, 长春工业大学教授, 硕士生导师, 主要从事机器学习研究, ( Tel)86-15304322085(E-mail)taizhiyan@ ccut. edu. cn
基金资助:
吉林省发改委基本建设资金资助项目(2022C043-2); 吉林省自然科学基金资助项目(20200201157JC)

Improved Osprey Optimization Algorithm

TAI Zhiyan¹, XING Weikang¹, GU Jiacheng¹, LIU Ming¹, YU Xiaodong²

1. School of Mathematics and Statistics, Changchun University of Technology, Changchun 130012, China; 2. School of Information Science and Technology, Shanghai Sanda University, Shanghai 201209, China

Received:2023-12-05 Online:2025-02-24 Published:2025-02-24

摘要/Abstract

摘要：

针对原始鱼鹰优化算法(OOA: Osprey Optimization Algorithm)易陷入局部最优和寻优速度慢等问题, 提出了一种改进鱼鹰优化算法(L_OOA: An Improved Osprey Optimization Algorithm)。首先, 为保持种群多样性,采用了 Tent 混沌映射策略初始化种群个体位置。其次, 通过引入 Levy 策略对鱼鹰的位置进行更新, 提高了鱼鹰优化算法跳出局部最优值的能力, 并在鱼鹰优化算法中引入了螺旋曲线策略, 提升了算法计算精确度。最后, 在 CEC2021(Computational Experimental Competition 2021)测试函数集上与其他智能算法进行了对比实验。结果表明, L_OOA 具有更优的精度和更快的速度。

关键词: 鱼鹰优化算法, 螺旋曲线策略, Levy 策略, Tent 混沌映射

Abstract:

The L_OOA(An Improved Osprey Optimization Algorithm) is proposed to address the issues of the original OOA (Osprey Optimization Algorithm), which is prone to local optima and slow optimization speed. Firstly, to maintain population diversity, the Tent chaotic mapping strategy is adopted to initialize the individual positions of the population. Secondly, by introducing the Levy strategy to update the position of the Osprey, the Osprey Optimization Algorithm can improve its ability to jump out of local optima. The spiral curve strategy is introduced into the Osprey optimization algorithm to improve its computational accuracy. Finally, comparative

experiments are conducted with other intelligent algorithms on the CEC2021 ( Computational Experimental Competition 2021)testfunction set. Experiments prove that L_OOA has better accuracy and faster speed.

Key words: osprey optimization algorithm, spiral curve strategy, Levy strategy, Tent chaotic mapping

中图分类号:

TP18

邰志艳, 邢维康, 谷佳澄, 刘铭, 于晓东.

一种改进的鱼鹰优化算法 [J]. 吉林大学学报(信息科学版), 2025, 43(1): 126-133.

TAI Zhiyan , XING Weikang , GU Jiacheng , LIU Ming , YU Xiaodong .

Improved Osprey Optimization Algorithm [J]. Journal of Jilin University (Information Science Edition), 2025, 43(1): 126-133.

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