Iterated Function System Based Adaptive Differential Evolution Algorithm

被引：3
|
作者：
Li, Ya-Liang [1 ]
Ding, Fei [1 ]
Wang, Yu-Xuan [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Sch Commun & Informat Engn, Jiangsu 210046, Peoples R China
来源：
2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8 | 2008年
关键词：
D O I：
10.1109/CEC.2008.4630962
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, we propose a new adaptive Differential Evolution algorithm, in which a simple mechanism based on Iterated Function System is applied to the control parameters F and CR. The performance is reported on a set of benchmark functions, which shows that our algorithm is better than, or at least comparable to the standard DE algorithm and the other adaptive versions of DE algorithm.
引用
收藏
页码：1290 / 1294
页数：5
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