计算机与数字工程2017，Vol.45Issue(2)：304-310,7.DOI:10.3969/j.issn.1672-9722.2017.02.020
一种基于lévy飞行轨迹的果蝇优化算法
A Fruit Fly Optimzation Algorithm Based on lévy Flights Trajectory
摘要
Abstract
Based on the shortcomings of fruit fly optimization Algorithm, which imitates the behavior of flies looking for food, such as low precision, slow convergence rate, and easily falling into local optimal solution, an improvement about the fruit fly optimization algorithm based on lévy flight path is put forward.This method applies the randomness of lévy flight path into the random directions of the individual sense of smell while looking for food, thus increasing the search diversity as well as the search range.At last, a contrast test is conducted to compare the eight standard test functions, the results show that this algorithm is much better in solving the high-dimensional function optimization problems.关键词
果蝇优化算法/函数优化/lévy飞行/多维函数优化Key words
fruit fly optimization algorithm/function optimization/lévy flight/multidimensional function optimization分类
信息技术与安全科学引用本文复制引用
郭德龙,杨楠,周永权..一种基于lévy飞行轨迹的果蝇优化算法[J].计算机与数字工程,2017,45(2):304-310,7.基金项目
国家自然科学基金项目:本体的解释诊断理论研究(编号:61463044) （编号:61463044）
国家自然科学基金项目:泛函网络代数理论与学习算法及泛化能力研究(编号:61165015) （编号:61165015）
国家民委科研基金项目:泛函网络新模型及学习算法与应用研究(编号:0832082) （编号:0832082）
贵州省科技厅联合基金(编号:黔科LH[2014]7436) （编号:黔科LH[2014]7436）
广西复杂系统与智能计算重点实验室开放课题(编号:15CI04Y)资助. （编号:15CI04Y）
