多策略改进的混沌哈里斯鹰优化算法  

A multi-strategy improved chaotic Harris hawk optimization algorithm

作　　者：胡春安[1] 熊昱然 HU Chun-an;XIONG Yu-ran(School of Information Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China)

机构地区：[1]江西理工大学信息工程学院,江西赣州341000

出　　处：《计算机工程与科学》2023年第9期1648-1660,共13页Computer Engineering & Science

基　　金：国家重点研发计划(2018YFC1504705);国家自然科学基金(41562019,11461031)。

摘　　要：哈里斯鹰优化(HHO)算法是近期提出的一种元启发式算法,模拟了生物性的种群捕食调度。针对哈里斯鹰优化算法开发能力不足、种群多样性下降和容易陷入局部最优等缺点,提出了一种多策略改进的哈里斯鹰优化算法(MHHO)。首先,在哈里斯鹰中引入混沌局部搜索策略,利用混沌映射的优点,围绕当前个体进行局部搜索,从而找到更好的个体,提高算法的开发能力。其次,为了增强种群多样性,提出了精英备选池策略。此外,通过对优势种群信息的采样来更好地引导种群进化方向,采用分布估计策略提高算法收敛效率。CEC2017测试实验结果表明,改进后的算法兼顾了收敛速度与全局搜索等能力,最后将算法用于求解工程约束问题,证明了改进后的算法的实用性。The Harris Hawk Optimization algorithm(HHO)is a recently proposed meta-heuristic algorithm that simulates biological population predation scheduling in the original hawk algorithm design.A Multi-strategy improved Harris Hawk Optimization algorithm(MHHO)is proposed to address the shortcomings of the Harris Hawk Optimization algorithm such as insufficient exploitation capability,decreasing population diversity,and easily falling into local optimality.Firstly,a chaotic local search strategy is introduced into the Harris Hawk to improve the exploitation ability of the algorithm.The advantages of chaotic mapping are exploited to find better individuals by performing local search around the current individual.Secondly,to enhance the population diversity,an elite alternative pooling strategy is proposed.In addition,the distribution estimation strategy is used to improve the convergence efficiency of the algorithm by sampling the dominant population information to better guide the direction of population evolution.Experimental tests on CEC2017 demonstrate that the improved algorithm achieves a balance between convergence speed and global search ability.Finally,the practicality of the improved algorithm is demonstrated by applying it to solve engineering constrained problems.

关 键 词：哈里斯鹰优化算法 分布估计策略 混沌局部搜索 工程约束问题 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]