计算机与数字工程2025，Vol.53Issue(1)：275-283,295,10.DOI:10.3969/j.issn.1672-9722.2025.01.049
增强型海鸥优化算法及其工程应用
Enhanced Seagull Optimization Algorithm and Its Engineering Application
摘要
Abstract
Aiming at the shortcomings of the standard seagull algorithm(SOA)such as discrete distribution of initial popula-tion position,low solution accuracy in the iterative process,slow convergence speed,and incongruity of global search and local de-velopment capabilities,a seagull optimization algorithm(L-SOA)based on good point set mapping and integrating Lévy flight and adaptive wandering strategy is proposed,and the distribution position of the initial seagull is perturbed by using the best point set mapping to produce a better initial solution,and the Lévy flight and adaptive wandering strategy are selected by random probability for optimization.The search range of individual seagulls in the exploration area is expanded,and its ability to get rid of local extreme value"attraction"is enhanced,which further improves the convergence performance of the algorithm in the later stage.In this pa-per,eight international general performance test functions are selected,the optimization differences between L-SOA and other opti-mization algorithms are compared from multiple angles,and the algorithm performance is comprehensively evaluated by Wilcoxon rank sum test,and the results show that the L-SOA algorithm has higher solution accuracy,faster convergence speed and more sta-ble robustness,and finally applies L-SOA to pressure vessel design optimization problems,and obtains the best solution results among all comparison algorithms.关键词
海鸥算法/佳点集/莱维飞行/自适应游走/全局探索Key words
seagull algorithm/good point set/Lévy flight/self adaptive walk/global search分类
信息技术与安全科学引用本文复制引用
张水平,刘典兴,王碧,李祚鹏..增强型海鸥优化算法及其工程应用[J].计算机与数字工程,2025,53(1):275-283,295,10.基金项目
国家自然科学基金项目(编号:72261018) （编号:72261018）
江西省教育厅青年项目(编号:GJJ2200868)资助. （编号:GJJ2200868）
