基于先天免疫机制的果蝇免疫协同优化算法  

Co-fly Immune Optimization Algorithm Based on Innate Immune Mechanism of Fruit-fly

作　　者：张晓茹 王丹 王俊[1] 周锦程 ZHANG Xiao-ru;WANG Dan;WANG Jun;ZHOU Jin-cheng(Qiannan Medical College for Nationalities, Duyun 558000, China;School of Mathematics and Statistics, Qiannan Normal University for Nationalities, Duyun 558000, China;Key Laboratory of Complex Systems and Intelligent Computing, Qiannan Normal University for Nationalities, Duyun 558000, China;School of Computer and Information, Qiannan Nomal University for Nationalities, Duyun 558000, China)

机构地区：[1]黔南民族医学高等专科学校,贵州都匀558000 [2]黔南民族师范学院数学与统计学院,贵州都匀558000 [3]黔南民族师范学院复杂系统与智能优化实验室,贵州都匀558000 [4]黔南民族师范学院计算机与信息学院,贵州都匀558000

出　　处：《计算机与现代化》2022年第5期40-45,53,共7页Computer and Modernization

基　　金：国家自然科学基金资助项目(61862051);贵州省普通高等学校科技拔尖人才支持计划项目(黔教合KY字[2018]080);贵州省普通高等学校青年科技人才成长项目(黔教合KY字[2019]203);黔南民族医学高等专科学校科研基金资助项目(QNYZ201922)。

摘　　要：基于果蝇极为简单、有效的先天性免疫应答机制,研究果蝇免疫协同优化算法。该算法中,结合黑化作用、细胞免疫及体液免疫的协同免疫应答机制,设计种群的划分及各子群的进化模块。其思想简洁易懂,内外循环的平衡设计以及协同思想的引入,保证了算法的优化效果与效率。大量实验表明,该算法在寻优能力、搜索效率及高维函数优化等方面均具有明显优势。Based on the simple and effective innate immune response mechanism of fruit-fly,a collaborative optimization algorithm of fruit-fly’s immune is discussed.The synergistic immune response mechanism of melanization,cellular immunity and humoral immunity is used to design the population division and subgroup evolution in this algorithm.The algorithm has the merits of structural simplicity,the balance of internal and external circulation and the collaborative design are induced to ensure the optimization effect and efficiency of the algorithm.Comparative numerical results show that the algorithm has obvious advantages in search ability,search efficiency and high-dimensional functions optimization and so on.

关 键 词：果蝇优化 先天性免疫 协同优化 果蝇免疫 高维函数 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]