A hybrid algorithm for global optimization

被引：0
|
作者：
Fei, Qin [1 ]
Jie, Liu [2 ]
机构：
[1] Xian Univ Sci & Technol, Deans Off, Xian, Peoples R China
[2] Xian Univ Sci & Technol, Coll Sci, Xian, Peoples R China
来源：
2015 11TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2015年
关键词：
global optimization; central force optimization; local search; global minimum;
D O I：
10.1109/CIS.2015.71
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a hybrid optimization algorithm, consisting of a central force optimization and a gradient-based method, is constructed. The central force optimization is used to locate decent points for previously converged local minima. The combined algorithm balance explores and exploits.
引用
收藏
页码：262 / 265
页数：4
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