By integrating the concept of cooperative approach, an extension of the fast annealing coevolutionary algorithm is presented in this paper. It outperformed the original algorithm in the domain of function optimization, especially in terms of convergence rate. It was also applied to a real optimization problem, protein motif extraction. And a satisfactory result has been obtained with the accuracy of prediction achieving 67.0%, which is in agreement with the result in the PROSITE database.
Chao CHEN Yuan Xin TIAN Xiao Yong ZOU Pei Xiang CAI Jin Yuan MO
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.
Chao CHEN Yuan Xin TIAN Xiao Yong ZOU Pei Xiang CAI Jin Yuan MO
