多策略集成的哈里斯鹰算法求解全局优化问题  

Multi-strategy Integrated Harris Hawk Algorithm toSolve Global Optimization Problems

作　　者：李煜[1] 林笑笑 刘景森[3] LI Yu;LIN Xiaoxiao;LIU Jingsen(Research Institute of Management Science and Engineering,Henan University,Kaifeng 475004,China;School of Business,Henan University,Kaifeng 475004,China;Institute of Intelligent Networks System,Henan University,Kaifeng 475004,China)

机构地区：[1]河南大学管理科学与工程研究所,河南开封475004 [2]河南大学商学院,河南开封475004 [3]河南大学智能网络系统研究所,河南开封475004

出　　处：《运筹与管理》2024年第6期28-34,共7页Operations Research and Management Science

基　　金：国家自然科学基金资助项目(72104069);河南省重点研发与推广专项资助项目(222102210065)。

摘　　要：为提高哈里斯鹰算法优化问题的性能,提出一种融合佳点集、非线性能量逃逸因子和Logistic-Cubic级联混沌扰动的多策略哈里斯鹰优化算法(Improve Harris Hawk Optimization,IHHO)。首先,引入佳点集策略代替随机初始种群,均匀初始种群分布性。其次,根据算法各个阶段不同特征提出一种非线性能量逃逸因子,平衡全局和局部勘探能力。最后,引入Logistic-Cubic级联混沌对搜索位置扰动,避免算法陷入局部最优。利用IHHO算法求解23个函数及三桁架工程设计问题,并利用目标收敛曲线、Wilcoxon秩和检验进行测试,结果表明,IHHO算法相比对比算法具有更强寻优性能、求解稳定性,在求解全局优化问题上具有一定竞争性。In basic science and practical engineering applications,there are problems of solving optimization schemes in different dimensions and under multiple constraints,and it is difficult for most conventional methods to deal with such optimization problems effectively.Intelligent optimization algorithms are able to solve many optimization problems in the case of failure of classical optimization techniques due to their small search space,few search times,flexible computation and strong applicability.With the widespread application of intelligent optimization algorithms in many fields such as logistics scheduling,combinatorial optimization,system control,etc.,more and more scholars have begun to study such algorithms.Most of these algorithms are designed by the influence of biological and physical phenomena in nature,and are increasingly used in the engineering field due to their advantages of simple concept and easy implementation.Harris Hawk Optimization(HHO)was proposed in 2019 as a new type of intelligent optimization algorithm,which was inspired by the hunting behavior of the Harris Hawk,and has the advantages of simple principle,easy programming,fewer parameters,high convergence accuracy and fast convergence,and has been applied to the design and engineering optimization problems in certain disciplines.For different types of function optimization problems and engineering applications,the HHO algorithm has the problems of slow convergence speed and insufficient stability of optimization search.In order to further improve the performance of the Harris Hawk algorithm in solving problems,this paper proposes a multi-strategy Improved Harris Hawk Optimization(IHHO)algorithm that integrates the good point set,nonlinear energy escape factor,and Logistic-Cubic cascading chaotic perturbations.Firstly,for the characteristics of random generation of the initial population,the good point set strategy is applied for optimization to uniformly distribute the initial population and improve its traversal ability.Secondly,for the p

关 键 词：HHO算法 佳点集策略 非线性逃逸因子 级联混沌 工程问题 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]