Improvement and application research of Shuffled frog leaping Algorithm

被引：0
|
作者：
Duoji, Huadan [1 ]
Li, Yueguang [1 ]
机构：
[1] Gansu Normal Univ Nationalities, Hezuo 747000, Gansu, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON COMPUTERS & INFORMATICS | 2015年 / 13卷
关键词：
Intelligent optimization algorithm; Shuffled frog leaping algorithm; Diversity; Parameter;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Shuffled frog leaping algorithm is a simulation of the frog group foraging behavior of modern heuristic intelligent algorithm. Based on the defect of this algorithm is easy to be premature, the optimization accuracy low, this paper proposes a shuffled frog leaping algorithm based on population diversity feedback. Through the optimization experimental of testing on the standard function, the results show that the global optimization performance of the improved shuffled frog leaping algorithm has better.
引用
收藏
页码：2408 / 2415
页数：8
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