计算机工程与应用2017，Vol.53Issue(6)：40-45,59,7.DOI:10.3778/j.issn.1002-8331.1508-0165
新型果蝇优化算法的研究
Research on new fruit fly optimization algorithm
摘要
Abstract
For the traditional fruit flies optimization algorithm has the disadvantage of low optimization accuracy and easily falls into local minimum point, this paper proposes a group search strategy which has different radii of flight to greatly increase the population diversity of fruit flies in the search region. In the fruit flies individual flight distance and step func-tion, it introduces different functions into different fruit flies subgroups. Those functions have cycle oscillation properties. It can well avoid flies group into local minimum point to get the optimal solution. Through the simulation experiment for the eight test functions, it verifies these strategies can effectively improve the search precision, convergence speed and stability.关键词
智能计算/果蝇算法/分群策略/非线性函数Key words
intelligent computing/fruit flies algorithm/group search strategy/nonlinear function分类
信息技术与安全科学引用本文复制引用
朱志同,郭星,李炜..新型果蝇优化算法的研究[J].计算机工程与应用,2017,53(6):40-45,59,7.基金项目
安徽省科技攻关项目(No.06060701). （No.06060701）
