A Hybrid Ant Colony Optimization for the Prediction of Protein Secondary Structure

作     者：Chao CHEN Yuan Xin TIAN Xiao Yong ZOU Pei Xiang CAI Jin Yuan MO 

作者机构：School of Chemistry and Chemical Engineering Sun Yat-sen University Guangzhou 510275 

出 版 物：《Chinese Chemical Letters》 (中国化学快报（英文版）)

年 卷 期：2005年第16卷第11期

页      面：1551-1554页

核心收录：

学科分类：081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 070303[理学-有机化学] 0703[理学-化学] 

基　　金：the National Natural Science Foundation of China(No.20475068) the Guangdong Provincial Natural Science Foundation(No.031577) 

主　　题：Ant colony algorithm global optimization wavelet power spectrum protein structure prediction. 

摘      要：Based on the concept of ant colony optimization and the idea of population in genetic algorithm, a novel global optimization algorithm, called the hybrid ant colony optimization （HACO）, is proposed in this paper to tackle continuous-space optimization problems. It was compared with other well-known stochastic methods in the optimization of the benchmark functions and was also used to solve the problem of selecting appropriate dilation efficiently by optimizing the wavelet power spectrum of the hydrophobic sequence of protein, which is the key step on using continuous wavelet transform （CWT） to predict a-helices and connecting peptides.