基于镜像选择的改进鲸鱼优化算法OACSCDCSTPCD
Improved Whale Optimization Algorithm Based on Mirror Selection
针对鲸鱼优化算法收敛速度慢、精度低、易陷入局部最优解的缺点,提出了一种基于镜像选择的改进鲸鱼优化算法(Whale optimization algorithm based-on mirror selection,WOA-MS).具体改进包括:(1)为了平衡全局搜索和局部开采,提出了一种基于Branin函数的自适应非线性惯性权重;(2)为了提高算法的个体质量和收敛速度,提出了一种镜像选择方法.通过对若干种测试函数进行优化,并与其他三种算法的实验结果…查看全部>>
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 s…查看全部>>
李璟楠;乐美龙
南京航空航天大学民航学院,南京 211106,中国南京航空航天大学民航学院,南京 211106,中国
信息技术与安全科学
惯性权重镜像选择鲸鱼优化算法(Whale optimization algorithm based-on mirror selection,WOA)
inertia weightmirror selectionwhale optimization algorithm(WOA)
《南京航空航天大学学报（英文版）》 2020 (z1)
115-123,9
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).
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