多策略改进的蜣螂优化算法  

An Improved Dung Beetle Optimizer Based on Multi-strategy

作　　者：王霞[1] 茹兴旺 WANG Xia;RU Xingwang(Anhui Business and Technology College,Hefei 231131,China)

机构地区：[1]安徽工商职业学院,安徽合肥231131

出　　处：《太原师范学院学报（自然科学版）》2024年第3期25-31,共7页Journal of Taiyuan Normal University:Natural Science Edition

基　　金：校级质量工程项目(2022xjjy06,2021xjjyZD02);安徽省质量工程项目(2022xjjy06,2022xnfzjd003,2022jyxm157,2022zygzsj007,2023xqsj006);安徽省职业与成人教育学会教育教学研究规划课题(Azcj2022005,AZCJ2023002,AZCJ2023009);安徽省高校自然科学研究重点项目(2024AH050135,KJ2018A0878);安徽工商职业学院自然科学研究重点项目(ZK2024A003)。

摘　　要：为了解决蜣螂优化算法(Dung Beetle Optimizer,DBO)收敛精度低、容易陷入局部最优等问题,提出了一种名为多策略改进蜣螂优化算法(ImprovedDung Beetle Optimizer,IDBO).首先,引入Circle混沌映射策略,旨在提高和改善初始解的多样性.其次,为了避免算法陷入局部最优,引入了精英存档策略,用于蜣螂位置的更新,从而提升算法的局部寻优能力.最后,采用Lévy飞行策略,旨在提高种群多样性,使算法能够跳出局部最优.在六种不同类型的基准测试函数上仿真,并对实验结果进行数值分析,改进后的IDBO算法在解决高维复杂问题时具有精度高、收敛速度快、鲁棒性强等优势.In order to solve the problems of the traditional Dung Beetle Optimizer(DBO)in terms of low convergence accuracy and easy to fall into local optimization,we propose an improved dung beetle optimizer(IDBO)based on multi-strategy.First,the Circle chaotic mapping strategy is introduced with the aim of increasing and improving the diversity of initial solutions.Second,in order to avoid the algorithm from falling into a local optimum,we introduce the elite archiving strategy for dung beetle position updating,which improves the algorithm's local optimality seeking ability.Finally,we employ the Levy flight strategy,which aims to improve the population diversity and enable the algorithm to jump out of the local optimum.Through simulation on six different types of benchmark test functions and numerical analysis of the experimental results,we find that the improved dung beetle op timization algorithm has the advantages of high accuracy,fast convergence,and robustness in solving high-dimensional complex problems..

关 键 词：蜣螂优化算法 Circle混沌映射策略 精英存档策略 Lévy飞行策略 全局优化搜索 元启发式算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]