吉林大学学报（信息科学版）2024，Vol.42Issue(5)：829-839,11.
基于混合策略的蜣螂优化算法研究
Research on Dung Beetle Optimization Algorithm Based on Mixed Strategy
摘要
Abstract
The dung beetle optimization algorithm suffers from the problems of easily falling into local optimum,imbalance between global exploration and local exploitation ability.In order to improve the searching ability of the dung beetle optimization algorithm,a mixed-strategy dung beetle optimization algorithm is proposed.The Sobol sequence is used to initialize the population in order to make the dung beetle population better traverse the whole solution space.The golden sine algorithm is added to the ball-rolling dung beetle position updating stage to improve the convergence speed and searching accuracy.And the hybrid variation operator is introduced for perturbation to improve the algorithm's ability to jump out of the local optimum.The improved algorithms are tested on eight benchmark functions and compared with the gray wolf optimization algorithm,the whale optimization algorithm and the dung beetle optimization algorithm to verify the effectiveness of the three improved strategies.The results show that the dung beetle optimization algorithm with mixed strategies has significant enhancement in convergence speed,robustness and optimization search accuracy.关键词
蜣螂优化算法/Sobol序列/黄金正弦算法/混合变异算子Key words
dung beetle optimizer/Sobol sequence/golden sine algorithm/mix mutation operator分类
信息技术与安全科学引用本文复制引用
秦喜文,冷春晓,董小刚..基于混合策略的蜣螂优化算法研究[J].吉林大学学报（信息科学版）,2024,42(5):829-839,11.基金项目
国家自然科学基金资助项目(12026430) （12026430）
吉林省科技厅基金资助项目(20200403182SF （）
20210101149JC) （）
