Discrete Binary Adaptive Bat Algorithm for RNA Secondary Structure Prediction

被引：5
|
作者：
Cai, Xingjuan [1 ,2 ]
Li, Wuzhao [1 ,3 ]
Kang, Qi [1 ]
Wang, Lei [1 ]
Wu, Qidi [1 ]
机构：
[1] Tongji Univ, Dept Control Sci & Engn, Shanghai 201804, Peoples R China
[2] Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligence Lab, Taiyuan 030024, Shanxi, Peoples R China
[3] Jiaxing Vocat Tech Coll, Dept Elect & Mech Engn, Jiaxing 314036, Peoples R China
来源：
JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE | 2015年 / 12卷 / 02期
基金：
中国国家自然科学基金;
关键词：
RNA Secondary Structure; Minimum Free Energy; Bat Algorithm;
D O I：
10.1166/jctn.2015.4144
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
RNA secondary structure is one important problem in bioinformatics. In this paper, one discrete binary adaptive bat algorithm is designed to solve it. In the standard version, pulse rate is exponential increased significantly, and then, pulse rate keeps a constant in most generations, this may result a fix selection pressure. To provide a large selection pressure, a linearly dynamic pulse rate selection strategy is designed. Furthermore, due to the special requirements of RNA secondary structure problem, Sigmoid function is also employed to determine the binary-value of each feature. Ten sequences from the comparative RNA website were selected for the evaluation of the proposed method. Simulation results show adaptive bat algorithm is better than Mfold.
引用
收藏
页码：335 / 339
页数：5
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