%0 Journal Article
%A GUO Hai-Ru
%A LIU Shen
%A LIU Yong-Li
%A MENG Hua-Yao
%T <span class="fontstyle0">Improved HHO algorithm based on good point set and&nbsp;nonlinear convergence formula</span><span>&nbsp;</span>
%D 2021
%R 10.19682/j.cnki.1005-8885.2021.1005
%J Journal of China Universities of Posts and Telecommunications
%P 48-67
%V 28
%N 2
%X <span class="fontstyle0">Harris hawks optimization ( HHO) algorithm is an efficient method of solving function optimization problems.<br>
However, it is still confronted with some limitations in terms of low precision, low convergence speed and stagnation<br>
to local optimum. To this end, an improved HHO ( IHHO) algorithm based on good point set and nonlinear<br>
convergence formula is proposed. First, a good point set is used to initialize the positions of the population<br>
uniformly and randomly in the whole search area. Second, a nonlinear exponential convergence formula is designed<br>
to balance exploration stage and exploitation stage of IHHO algorithm, aiming to find all the areas containing the<br>
solutions more comprehensively and accurately. The proposed IHHO algorithm tests 17 functions and uses Wilcoxon<br>
test to verify the effectiveness. The results indicate that IHHO algorithm not only has faster convergence speed than<br>
other comparative algorithms, but also improves the accuracy of solution effectively and enhances its robustness<br>
under low dimensional and high dimensional conditions.</span><span>&nbsp;</span>
%U https://jcupt.bupt.edu.cn/EN/10.19682/j.cnki.1005-8885.2021.1005