融合差分变异和切线飞行的天鹰优化器  

Aquila optimizer integrating differential mutation and tangent flight

作　　者：徐亦凤 刘升[1] 刘宇凇 张伟康 Xu Yifeng;Liu Sheng;Liu Yusong;Zhang Weikang(School of Management,Shanghai University of Engineering Science,Shanghai 201620,China)

机构地区：[1]上海工程技术大学管理学院,上海201620

出　　处：《计算机应用研究》2022年第10期2996-3002,共7页Application Research of Computers

基　　金：国家自然科学基金资助项目(61673258,61075115);上海市自然科学基金资助项目(19ZR1421600)。

摘　　要：针对天鹰优化器(aquila optimizer,AO)虽然拥有强大的全局勘探能力,但局部开发能力不足的问题,提出融合差分变异和切线飞行的天鹰优化器(differential evolution mutation and tangent flight aquila optimizer,DEtanAO)。首先,根据差分进化算法中的变异操作能使算法具有较强的开发能力弥补了AO算法的不足,然后,利用切线搜索算法中切线飞行策略具有较强的探索搜索空间的能力并能使算法跳出局部最优解的优势,用其替换了AO算法中的莱维飞行。这两种策略的结合有效地平衡了DEtanAO算法的勘探和开发阶段。最后,为验证DEtanAO算法的优化性能,在12个标准基准函数、高维函数、Wilcoxon秩和检验以及工程优化问题上来测试改进算法的寻优能力。实验结果表明,相比其他智能算法,DEtanAO算法具有更强的寻优能力和更快的收敛速度。The aquila optimizer(AO),although capable of robust global exploration,had problems with inadequate local development.In the study,this paper proposed a differential evolution mutation and tangent flight aquila optimizer(DEtanAO).Firstly,the mutation operation in the differential evolution algorithm could make the algorithm had strong development ability and made up for the shortcomings of the AO algorithm.Then,the tangent flight strategy in the tangent search algorithm had a strong ability to explore the search space and could make the algorithm jump out of the local optimal solution,which was used to replace the Lévy flight in the AO algorithm.The combination of these two strategies effectively balanced the exploration and exploitation stage of the DEtanAO algorithm.Finally,in order to verify the optimization performance of the DEtanAO algorithm,the optimization ability of the improved algorithm was tested in 12 standard benchmark functions,high-dimensional functions,Wilcoxon rank-sum test,and engineering optimization problems.Compared with other newly proposed intelligent algorithms,the results show that the optimization ability and convergence speed of the DEtanAO algorithm is better.

关 键 词：天鹰优化器 差分变异 切线飞行 勘探与开发 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]