吉首大学学报（自然科学版）2025，Vol.46Issue(5)：37-44,58,9.DOI:10.13438/j.cnki.jdzk.2025.05.006
一种基于迭代混沌映射的多策略改进麻雀搜索算法
An Improved Multi-Strategy Sparrow Search Algorithm Based on Iterative Chaotic Mapping
于存威 1张先玉 1刘鑫宇1
作者信息
- 1. 中国人民解放军75841部队,湖南长沙 410005
- 折叠
摘要
Abstract
An improved multi-strategy sparrow search algorithm based on iterative chaotic mapping(IMSSA-ICM)is designed to address the problems of low accuracy and susceptibility to local optima in sparrow search algorithm.In the sparrow search algorithm,iterative chaotic mapping is used to initialize the sparrow population,and elite opposition-based learning and Levy flight strategy combined with rou-lette wheel selection mechanism are introduced to perturb the sparrow update position to optimize the traditional sparrow search algorithm's insufficient search accuracy and susceptibility to local extremum problems.On 12 benchmark test functions,IMSSA-ICM is compared with 5 classic swarm intelligence optimization algorithms.Simulation results show that IMSSA-ICM outperform the other 5 algorithms in terms of solving accuracy and escaping local optima.关键词
麻雀搜索算法/迭代混沌映射/精英反向学习/莱维飞行Key words
sparrow search algorithm/iterative chaotic mapping/elite opposition-based learning/Levy flight分类
信息技术与安全科学引用本文复制引用
于存威,张先玉,刘鑫宇..一种基于迭代混沌映射的多策略改进麻雀搜索算法[J].吉首大学学报（自然科学版）,2025,46(5):37-44,58,9.
