计算机工程与科学2026，Vol.48Issue(8)：1510-1520,11.DOI:10.3969/j.issn.1007-130X.2026.08.016
基于自适应横向交叉策略的蜜獾算法
A honey badger algorithm based on adaptive horizontal cross strategy
摘要
Abstract
A honey badger algorithm(HBA)based on adaptive horizontal cross strategy(AHBA)is proposed to address the limitations of the honey badger algorithm when dealing with high-dimensional com-plex problems,such as slow convergence speed,restricted global search ability,and instability.Firstly,a good-point set initialization strategy is introduced to enhance the algorithm's capacity for exploring the diversity within the solution space.Secondly,a novel adaptive horizontal cross strategy is proposed and incorporated into the HBA to improve both the search efficiency and the algorithm's robustness.Final-ly,a guide pooling strategy is adopted to enhance the quality of candidate solutions and reduce the risk of being trapped in local optima.AHBA is compared with five swarm intelligence algorithms on CEC 2022 benchmark functions of varying dimensions,and the effectiveness of different improvement strate-gies is analyzed.The algorithm is also applied to classical engineering problems.Experimental results demonstrate that AHBA exhibits superior optimization performance on high-dimensional problems.关键词
蜜獾算法/佳点集初始化策略/自适应横向交叉策略/引导池化策略Key words
honey badger algorithm/good-point set initialization strategy/adaptive horizontal cross strategy/guide pooling strategy分类
信息技术与安全科学引用本文复制引用
罗海燕,麦雄发,刘利斌..基于自适应横向交叉策略的蜜獾算法[J].计算机工程与科学,2026,48(8):1510-1520,11.基金项目
国家自然科学基金(12361087) （12361087）
广西科技计划(桂科AD23023003) （桂科AD23023003）
广西自然科学基金(2022GXNSFAA035618) （2022GXNSFAA035618）
广西研究生教育创新计划(YCSW2025529) （YCSW2025529）
