文档介绍：小型微型计算机系统
Journal of Chinese Computer Systems
ISSN 1000-1220,CN 21-1106/TP
HO 算法的寻优过程以及精度，同时提高全局
搜索能力；最后，开发阶段使用二次插值法改进包围策略，提高算法局部搜索能力。同时改进算法中还加入了简单的精英
制度，通过子代与父代适应度比较选出较优的一代作为下一种群。通过对测试函数集优化求解验证，表明改进算法具有较
好的寻优能力及收敛速度，同时能有效避免陷入局部最优解。
关键词：哈里斯鹰算法；Sobol 序列；差分进化；二次插值法
中图分类号：TP18 文献标码： A
Hybrid Differential Evolution and Quadratic Interpolation Improved Harris Hawks
Optimization Algorithm
GAO Jian-ling, YU Ming-hao
(School of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China)
Abstract: In view of the problem of the basic Harris Hawks Optimization algorithm, which is prone to local optimal value, low
convergence accuracy and slow convergence speed, the hybrid differential evolution (DE) and quadratic interpolation improved Harris
Hawks Optimization algorithm is proposed. Firstly, Sobol is used to produce uniform random numbers in the initial population stage to
enhance population traversal and diversity, secondly, the fusion differential evolution algorithm accelerates the hysteresis process and
precision of HO algorithm in the exploration stage, and improves