RNA secondary structure prediction based on binary-coded centroid bat algorithm

被引：0
作者：
Cao, Yang [1 ]
Cui, Zhihua [1 ,2 ]
机构：
[1] Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi
[2] State Key Laboratory for Novel Software Technology, Nanjing University, Jiangsu
来源：
Journal of Bionanoscience | 2014年 / 8卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Bat algorithm; Centroid strategy; RNA secondary structure;
D O I：
10.1166/jbns.2014.1256
中图分类号：
学科分类号：
摘要：
RNA secondary structure prediction is a key issue for computational biology, and may meta-heuristic algorithms are applied to solve it. In this paper, a new variant of bat algorithm, binary-coded centroid bat algorithm, is designed, with this manner, one centroid strategy is employed to increase the local search capablity. To test the performance, it is applied to solve the prediction of RNA secondary structure problem. Simulation results show it is validity. Copyright © 2014 American Scientific Publishers.
引用
收藏
页码：364 / 367
页数：3
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