Changing Range Bat Algorithm for RNA Secondary Structure Prediction

被引：2
|
作者：
Cui, Zhihua [1 ,3 ]
Cao, Yang [1 ]
Li, Feixiang [1 ]
Zhu, Zhuanghua [2 ]
机构：
[1] Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligence Lab, Taiyuan 030024, Shanxi, Peoples R China
[2] Shanxi Finance & Taxat Coll, Econ Informat Dept, Taiyuan 030024, Shanxi, Peoples R China
[3] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Jiangsu, Peoples R China
来源：
JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE | 2015年 / 12卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Bat Algorithm; RNA Secondary Structure; Changing Range Strategy; OPTIMIZATION;
D O I：
10.1166/jctn.2015.4215
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
RNA secondary structure prediction is an active research topic for computational biology, and may evolutionary algorithms are applied to solve it. In this paper, a new variant of bat algorithm, changing range bat algorithm, is designed to solve it. This variant aims to mining the problem information behind the better individuals, and a changing range strategy is employed. To test the performance, the prediction of RNA secondary structure problem is selected to test. Simulation results show it is validity.
引用
收藏
页码：1968 / 1971
页数：4
相关论文
共 50 条
  • [31] RNA secondary structure prediction algorithm based on combinatorial optimization algorithm and SVMs method
    He Jing-yuan
    Mu Chao
    Huang Hai-hun
    PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012), 2012, : 715 - 719
  • [32] Efficient Generation of RNA Secondary Structure Prediction Algorithm Under PAR Framework
    Shi, Haihe
    Jing, Xiaoqian
    FRONTIERS IN PLANT SCIENCE, 2022, 12
  • [33] An Efficient Algorithm Based on Hopfield Neural Network for RNA Secondary Structure Prediction
    Che, Yanqiu
    Tang, Zheng
    Liu, Shaozhi
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2007, 7 (05): : 49 - 54
  • [34] SARNA-Predict: A Simulated Annealing algorithm for RNA secondary structure prediction
    Tsang, Herbert H.
    Wiese, Kay C.
    PROCEEDINGS OF THE 2006 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 2006, : 466 - +
  • [35] RNA Secondary Structure Prediction with Pseudoknots Using Chemical Reaction Optimization Algorithm
    Islam, Md Rafiqul
    Islam, Md Shahidul
    Sakeef, Nazmus
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 18 (03) : 1195 - 1207
  • [36] An updated recursive algorithm for RNA secondary structure prediction with improved thermodynamic parameters
    Mathews, DH
    Andre, TC
    Kim, J
    Turner, DH
    Zuker, M
    MOLECULAR MODELING OF NUCLEIC ACIDS, 1998, 682 : 246 - 257
  • [37] RNA secondary structure prediction with pseudoknots: Contribution of algorithm versus energy model
    Jabbari, Hosna
    Wark, Ian
    Montemagno, Carlo
    PLOS ONE, 2018, 13 (04):
  • [38] A RNA secondary structure prediction model based on AFSA algorithm and SVMs method
    He, Jingyuan
    He, Zhongshi
    Journal of Information and Computational Science, 2010, 7 (14): : 3059 - 3067
  • [39] Permutation-based RNA secondary structure prediction via a genetic algorithm
    Wiese, KC
    Deschênes, A
    Glen, E
    CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS, 2003, : 335 - 342
  • [40] Evolutionary Algorithm for RNA Secondary Structure Prediction Based on Simulated SHAPE Data
    Montaseri, Soheila
    Ganjtabesh, Mohammad
    Zare-Mirakabad, Fatemeh
    PLOS ONE, 2016, 11 (11):
12345