计算机工程与应用2012，Vol.48Issue(1)：40-43,75,5.DOI:10.3778/j.issn.1002-8331.2012.01.012
改进的免疫粒子群优化算法预测RNA二级结构
Improved immune particle swarm optimization algorithm for RNA secondary structure prediction.
摘要
Abstract
Based on SetPSO algorithm, an improved immune particle swarm optimization algorithm is designed for the RNA secondary . Prediction problem. The SetPSO algorithm is easy to fall into local optimum. According to the characteristics of RNA folding, an immune memory operator is used to tackle this shortage and increase the diversity of particle swarm. Simulation results show that the improved algorithm can get better prediction accuracy in shorter time.关键词
核糖核酸(RNA)二级结构预测/粒子群优化/免疫记忆算子Key words
Ribonucleic Acid(RNA) secondary structure prediction/particle swarm optimization/immune memory operator分类
信息技术与安全科学引用本文复制引用
林娟,钟一文..改进的免疫粒子群优化算法预测RNA二级结构[J].计算机工程与应用,2012,48(1):40-43,75,5.基金项目
福建省自然科学基金(No.2008J0316) （No.2008J0316）
福建农林大学青年教师科研基金(No.2010018). （No.2010018）
