An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently

被引：24
作者：
Lei Wu [1 ]
Xiao Wensheng [1 ]
Liang Zhang [1 ]
Qi Liu [1 ]
Wang Jingli [1 ]
机构：
[1] China Univ Petr, Coll Mech & Elect Engn, 66 Changjiang West Rd, Qingdao, Shangdong Provi, Peoples R China
来源：
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2016年 / 9卷 / 01期
关键词：
fruit fly optimization algorithm; intelligent selection; the best search direction; benchmark functions; experimental simulation; REGRESSION NEURAL-NETWORK; MODEL;
D O I：
10.1080/18756891.2016.1144155
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
As a novel global optimization algorithm, the fruit fly optimization algorithm FOA has been successfully applied in a variety of mathematic and engineering fields. For the purpose of accelerating the convergence speed and overcoming the shortcomings of FOA, an improved fruit fly optimization called SEDI-FOA was proposed in this paper. In the proposed SEDI-FOA, more fruit flies would fly in the search direction that was best for finding the optimal solution, or at least in a direction close to the optimal direction. Experiments were conducted on a set of 12 benchmark functions, and the results showed that SEDI-FOA performed better than other several improved FOA and frequently-used intelligence algorithms, especially in the areas of accelerating convergence and global search ability and efficiency.
引用
收藏
页码：80 / 90
页数：11
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