计算机应用研究2026，Vol.43Issue(3)：790-803,14.DOI:10.19734/j.issn.1001-3695.2025.07.0232
融合防御式交互机制的人工旅鼠算法及其应用
Artificial lemming algorithm incorporating defensive interaction mechanisms and its applications
摘要
Abstract
To overcome the weaknesses of the artificial lemming optimization algorithm,such as insufficient convergence accu-racy and susceptibility to local optima in complex optimization problems,this paper proposed an artificial lemming algorithm integrated with a defensive interaction mechanism(IALA).Firstly,it utilized the population's adaptive adjustment factor to dynamically balance the exploration and exploitation capabilities of the algorithm.Secondly,it adopted a random mask dimen-sion learning strategy to enhance problem-solving capabilities in complex search spaces.Furthermore,it introduced a defensive interaction mechanism to strengthen the ability to escape from local optima.Finally,it incorporated a chaotic Gaussian mixture mutation strategy to improve local exploitation accuracy during the later stages of the optimization process.To validate the ef-fectiveness and practicality of the proposed algorithm,this paper conducted comparative experiments against several state-of-the-art algorithms on the CEC2017 and CEC2022 test sets,and applied it to solve three engineering optimization problems.Results demonstrate that the IALA algorithm consistently achieves the top Friedman average rank;compared to the original al-gorithm,its mean error decreases by 28.62％,and the standard deviation decreases by 44.31％on average.In practical engi-neering applications,IALA demonstrates strong applicability and superior performance.关键词
人工旅鼠优化算法/种群自适应调节因子/随机掩码维度学习/防御式交互机制/混沌-高斯混合变异Key words
artificial lemming optimization algorithm/population's adaptive regulatory factor/random mask dimension lear-ning/defensive interaction mechanism/chaos-Gaussian mixture mutation分类
信息技术与安全科学引用本文复制引用
韩玉,刘升..融合防御式交互机制的人工旅鼠算法及其应用[J].计算机应用研究,2026,43(3):790-803,14.基金项目
国家自然科学基金资助项目(61673258,61075115) （61673258,61075115）
上海市自然科学基金资助项目(19ZR1421600) （19ZR1421600）
