摘要
针对鲸鱼优化算法收敛速度慢、收敛精度低以及易陷入局部最优等问题,提出一种基于精英反向和纵横交叉的鲸鱼优化算法(ECWOA).该算法首先通过精英反向学习策略初始化种群,以提高初始解的质量,加快全局收敛速度;其次,采用逆不完全Γ函数更新收敛因子来平衡算法全局探索和局部开发能力;最后,利用纵横交叉策略对种群和全局最优解进行修正,以此来保证种群个体的多样性,提高算法跳出局部最优的能力.通过对8个经典测试函数的仿真实验表明,ECWOA算法的寻优精度和收敛速度均有明显的提升.
In order to solve the problems of slow convergence speed,low convergence accuracy and easy to fall into local optima solution,a w hale optimization algorithm based on elite opposition-based and crisscross optimization is proposed.Firstly,the elite opposition-based learning strategy is used to initialize the population in order to improve the quality of the initial solution and speed up the global convergence speed.Secondly,the inverse incompleteΓfunction is used to update convergence factor to balance the global exploration and local development ability of the algorithm.Finally,the crisscross strategy is used to modify the population and the global optimal solution,so as to maintain the diversity of the individual population and improve the ability of the algorithm to jump out of the local optimum.The simulation results of eight classical test functions show that the ECWOA algorithm has obvious improvement in convergence accuracy and convergence speed.
作者
刘琨
赵露露
王辉
LIU Kun;ZHAO Lu-lu;WANG Hui(School of Computer Science and Technology,Henan Polytechnic University,Jiaozuo 454000,China)
出处
《小型微型计算机系统》
CSCD
北大核心
2020年第10期2092-2097,共6页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(61300216)资助。
关键词
鲸鱼优化算法
精英反向学习
纵横交叉
函数优化
w hale optimization algorithm
elite opposition-based learning
crisscross optimization
function optimization
作者简介
刘琨,女,1978年生,硕士,副教授,CCF会员,研究方向为网络安全和计算机网络;赵露露,女,1995年生,硕士研究生,研究方向为网络安全;王辉,男,1975年生,博士,教授,CCF会员,研究方向为计算机网络、网络安全和无线传感器网络.E-mail:w2710713356@163.com。
