南京航空航天大学学报（英文版）2020，Vol.37Issue(z1)：115-123,9.
基于镜像选择的改进鲸鱼优化算法
Improved Whale Optimization Algorithm Based on Mirror Selection
摘要
Abstract
Since traditional whale optimization algorithms have slow convergence speed,low accuracy and are easy to fall into local optimal solutions,an improved whale optimization algorithm based on mirror selection(WOA-MS)is proposed. Specific improvements includes:(1) An adaptive nonlinear inertia weight based on Branin function was introduced to balance global search and local mining. (2) A mirror selection method is proposed to improve the individual quality and speed up the convergence. By optimizing several test functions and comparing the experimental results with other three algorithms,this study verifies that WOA-MS has an excellent optimization performance.关键词
惯性权重/镜像选择/鲸鱼优化算法(Whale optimization algorithm based-on mirror selection,WOA)Key words
inertia weight/mirror selection/whale optimization algorithm(WOA)分类
信息技术与安全科学引用本文复制引用
李璟楠,乐美龙..基于镜像选择的改进鲸鱼优化算法[J].南京航空航天大学学报（英文版）,2020,37(z1):115-123,9.基金项目
Acknowledgements This work was supported by the Natu-ral Science Foundation of Jiangsu Province(No.BK20151479)and the Open Foundation of Graduate Innova-tion Base in Nanjing University of Aeronautics and Astronau-tics(No.kfjj20190736). （No.BK20151479）
