求解特征值互补问题的人工蜂群算法  

Artificial Bee Colony Algorithm for Solving Eigenvalue Complementarity Problem

作　　者：郑庆徽 韩海山[1] ZHENG Qing-hui;HAN Hai-shan(College of Mathematics and Physics,Inner Mongolia Minzu University,Tongliao 028043,China)

机构地区：[1]内蒙古民族大学数理学院,内蒙古通辽028043

出　　处：《内蒙古民族大学学报（自然科学版）》2023年第2期97-102,共6页Journal of Inner Mongolia Minzu University：Natural Sciences

基　　金：国家自然科学基金项目(62163031)。

摘　　要：人工蜂群算法是求解优化问题的智能算法,该算法不需对目标函数求导,应用范围广。文中构造了求解特征值互补问题的人工蜂群算法,并给出了算法的收敛性证明,通过数值实验说明了该算法是有效的。Artificial bee colony algorithm is an intelligent algorithm for solving optimization problems,which does not need to differentiate the objective function and is widely used.An artificial bee colony algorithm for solving eigenvalue complementarity problem was constructed and its convergence was proved.Numerical results demon⁃strated the effectiveness of proposed algorithm.

关 键 词：特征值互补问题 人工蜂群算法 NCP函数 

分 类 号：O221[理学—运筹学与控制论]