The Improvement of Fruit Fly Optimization Algorithm--Using Bivariable Function as Example

摘要：

　　Optimization problems are always the hot issues in various research fields.The aim of this paper is to find the optimal value of the bivariable nonlinear function by means of the improved fruit fly optimization algorithm(G-FOA).Some better results are obtained.Compared with other algorithms,G-FOA is concise,can quickly find the global optimum with the high accuracy and without falling into local extremum.These advantages make the algorithm has good robustness and applicability.

关键词： fruit fly optimization algorithm extremal optimization local extremum

作者: Fuqiang Xu Youtian Tao

作者单位: Department of Mathematics, Chaohu College Chaohu, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 1516-1520

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）