求解高维函数的果蝇免疫协同优化算法  

Co-Fly Immune Optimization Algorithm Solving High Dimension Function Optimization

作　　者：张晓茹 王丹 周锦程[3,4] ZHANG Xiaoru;WANG Dan;ZHOU Jincheng(Qiannan Medical College For Nationalities,Duyun 558000;School of Mathematics and Statistics,Qiannan Normal University for Nationalities,Duyun 558000;Key Laboratory of Complex Systems and Intelligent Computing,Qiannan Normal University for Nationalities,Duyun 558000;School of Computer and Information,Qiannan Nomal University for Nationalities,Duyun 558000)

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

出　　处：《计算机与数字工程》2024年第1期105-110,共6页Computer & Digital Engineering

基　　金：国家自然科学基金项目(编号:61862051);贵州省普通高等学校科技拔尖人才支持计划(编号: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(编号:黔教合KY字[2019]203);黔南民族医学高等专科学校科研基金项目(编号:QNYZ201922)资助。

摘　　要：果蝇是一种仅依赖其先天性免疫应答机制,即可高效抵御外来入侵者的简单生物。受此免疫机理的启发,论文将模拟果蝇先天性免疫机理设计种群划分及各子群的进化模块,尝试探讨果蝇免疫协同优化算法。该设计思想简洁易懂,内外循环的平衡以及协同思想的设计,使得在保证算法优化效果的前提下,很大程度上提高了算法效率。大量实验表明,该算法在寻优能力、搜索效率及对高维函数的优化方面均具有明显优势。Fruit fly is a simple organism that can effectively defend against invaders only by its innate immune mechanism.In-spired by it,the collaborative optimization algorithm of fruit fly's immune is discussed.In the algorithm design,innate immune mechanism of fly are used to design the population division and subgroup evolution.One such algorithm has the merits of structural simplicity,the balance of internal and external circulation and the collaborative design,ensuring the optimization effect of the algo-rithm and improving the optimization efficiency.Comparative numerical results show that the algorithm has obvious advantages in search ability and efficiency and high-dimensional functions.

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]