黑龙江科技大学学报2025，Vol.35Issue(1)：103-109,7.DOI:10.3969/j.issn.2095-7262.2025.01.016
基于混沌映射和混合变异的蜻蜓算法
Dragonfly algorithm based on chaotic mapping and mixed mutation
摘要
Abstract
This paper is aimed at addressing the defects of insufficient global exploration ability and low convergence accuracy in standard dragonfly algorithm,and proposes a hybrid optimization dragonfly algorithm with chaotic mapping,Gaussian distribution and non-uniform distribution.The study involves introducing chaotic mapping to generate a better chaotic population as initialized;using Gaussian distribu-tion and non-uniform distribution to optimize the distribution position of dragonflies for avoiding falling in-to local optimality and improving the optimization ability and convergence accuracy;and applying the im-proved algorithm to 8 different test functions and an optimization design of a 13-bar truss structure to com-pare with the results calculated by the original dragonfly algorithm and other swarm intelligence algo-rithms.The final result shows that the structural mass is reduced by 5.86%compared with the original dragonfly algorithm,indicating that the improved dragonfly algorithm has faster convergence speed and higher convergence accuracy.关键词
蜻蜓算法/tent混沌映射/高斯分布/非均匀分布Key words
dragonfly algorithm/tent chaotic map/gaussian distribution/uneven distribution分类
信息技术与安全科学引用本文复制引用
姜封国,韩雪松,岳攀,陈雨..基于混沌映射和混合变异的蜻蜓算法[J].黑龙江科技大学学报,2025,35(1):103-109,7.基金项目
黑龙江省自然科学基金项目(LH2022E108) （LH2022E108）
