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预测RNA二级结构离散粒子群优化算法

陈自郁 何中市 何静媛

深圳大学学报(理工版)2009,Vol.26Issue(3):272-277,6.
深圳大学学报(理工版)2009,Vol.26Issue(3):272-277,6.

预测RNA二级结构离散粒子群优化算法

Discrete particle swarm optimization for RNA secondary structure prediction

陈自郁 1何中市 1何静媛1

作者信息

  • 1. 重庆大学计算机学院,重庆,400044
  • 折叠

摘要

Abstract

With the RNA secondary structure prediction and the characteristics of particle swarln optimization,a new model of discrete particle swarm optimization is presented.In the model,searching space of variable set is defined.The operation rules and the update formulae of particle's velocity and location are re-designed on the searching space.A local elitist particle strategy is introduced in order to avoid being trapped in local optima.The experimental results demonstrate the superiority of the proposed model over the other methods in terms of solution quality and convergence rates.

关键词

离散粒子群优化/RNA二级结构/最小自由能/组合优化

Key words

discrete particle swarm optimization/RNA secondary structure/minimum free energy/combinatorial optimization

分类

信息技术与安全科学

引用本文复制引用

陈自郁,何中市,何静媛..预测RNA二级结构离散粒子群优化算法[J].深圳大学学报(理工版),2009,26(3):272-277,6.

基金项目

国家863高技术研究发展计划资助项目(2007AA017Z423) (2007AA017Z423)

重庆市自然科学基金资助项目(2007BB2134) (2007BB2134)

深圳大学学报(理工版)

OA北大核心CSTPCD

1000-2618

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