Determining RNA secondary structure using set-based Particle Swarm Optimization

被引：0
|
作者：
Neethling, Marais [1 ]
Engelbrecht, A. P. [1 ]
机构：
[1] Univ Pretoria, Dept Comp Sci, ZA-0002 Pretoria, South Africa
来源：
2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Determining RNA secondary structure computationally, rather than manually, has the advantage of being cheaper and quicker. This paper introduces a new Set-based Particle Swarm Optimization algorithm to optimize the structure of an RNA molecule, using an advanced thermodynamic model. Results show that it is possible to use this SetPSO algorithm to optimise RNA secondary structure and produce candidate RNA conformations.
引用
收藏
页码：1655 / +
页数：3
相关论文
共 50 条
  • [1] A Set-Based Particle Swarm Optimization Method
    Veenhuis, Christian B.
    PARALLEL PROBLEM SOLVING FROM NATURE - PPSN X, PROCEEDINGS, 2008, 5199 : 971 - 980
  • [2] Improved Set-based Particle Swarm Optimization for Portfolio Optimization
    Erwin, Kyle
    Engelbrecht, Andries
    2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2020, : 1573 - 1580
  • [3] Prediction of RNA Secondary Structure Based on Particle Swarm Optimization
    LIU Yuan-ning1
    2. College of Computer Science and Technology
    Chemical Research in Chinese Universities, 2011, 27 (01) : 108 - 112
  • [4] Prediction of RNA Secondary Structure Based on Particle Swarm Optimization
    Liu Yuan-ning
    Dung Hao
    Zhang Hao
    Wang Gang
    Li Zhi
    Chen Hui-ling
    CHEMICAL RESEARCH IN CHINESE UNIVERSITIES, 2011, 27 (01) : 108 - 112
  • [5] Synchronous set-based particle swarm optimization: Heuristics for portfolio optimization
    Lakhmani, Ashish
    Thulasiram, Ruppa K.
    Thulasiraman, Parimala
    2024 IEEE 48TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC 2024, 2024, : 1806 - 1812
  • [6] Discovering High Utility Itemsets Using Set-Based Particle Swarm Optimization
    Song, Wei
    Li, Junya
    ADVANCED DATA MINING AND APPLICATIONS, 2020, 12447 : 38 - 53
  • [7] Discrete particle swarm optimization model for set-based combinatorial optimization problems
    Chen Z.-Y.
    He Z.-S.
    He J.-Y.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2010, 38 (04): : 141 - 146
  • [8] A Novel Set-Based Particle Swarm Optimization Method for Discrete Optimization Problems
    Chen, Wei-Neng
    Zhang, Jun
    Chung, Henry S. H.
    Zhong, Wen-Liang
    Wu, Wei-Gang
    Shi, Yu-hui
    IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2010, 14 (02) : 278 - 300
  • [9] Set-based particle swarm optimization with status memory for knapsack problem
    Hino, Takahiro
    Ito, Sota
    Liu, Tao
    Maeda, Michiharu
    ARTIFICIAL LIFE AND ROBOTICS, 2016, 21 (01) : 98 - 105
  • [10] Set-based discrete particle swarm optimization and its applications: a survey
    Chen, Wei-Neng
    Tan, Da-Zhao
    FRONTIERS OF COMPUTER SCIENCE, 2018, 12 (02) : 203 - 216
12345