南京理工大学学报（自然科学版）2016，Vol.40Issue(6)：653-660,8.DOI:10.14177/j.cnki.32-1397n.2016.40.06.003
改进的萤火虫算法及其工程应用
Modified firefly algorithm and its engineering applications
摘要
Abstract
A modified firefly algorithm is proposed aiming at the disadvantages of firefly algorithm such as premature convergence,slow convergence speed at a later stage and low solving precision. The individual location of groups is initialized by using the opposite learning strategy. Convergence speed and solving precision are improved by using Rosenbrock search. Premature convergence is prevented by using a Gaussian chaos disturbance on the global optimum individual of each <br> generation. Six standard functions are selected for simulation experiments, and two standard engineering applications are solved. The results show that this modified firefly algorithm has good global optimization performance.关键词
萤火虫算法/反向学习/高斯混沌扰动/工程优化Key words
firefly algorithm/opposite learning/Gaussian chaos disturbance/engineering optimization分类
信息技术与安全科学引用本文复制引用
尹华一,朱顺痣,刘利钊,张千宏..改进的萤火虫算法及其工程应用[J].南京理工大学学报（自然科学版）,2016,40(6):653-660,8.基金项目
国家自然科学基金(61503316 （）
61373147 （）
11361012) （）
福建省科技计划对外合作项目(2016I0015) （2016I0015）
厦门市科技局高校对接企业项目(3502Z20153020) （3502Z20153020）
厦门理工学院高层次人才项目(YKJ13026R) （YKJ13026R）
