@inproceedings{5352fe33d6dd4527846c94c634c77d34,
title = "Improved Biogeography-Based Optimization approach to secondary protein prediction",
abstract = "In recent years, many bio-inspired computation algorithms have been proposed to solve constraint problems. Biogeography-Based Optimization (BBO) is one of these newly proposed optimization algorithms. As a new way to solve complicated optimization problems, BBO has a quick convergence. In this paper, we proposed an improved BBO for solving protein structure prediction problems. Comparative experiments with standard BBO and differential evolution algorithm (DE) are also conducted, and the results demonstrate this improved BBO approach performs better in solving these complicated protein prediction problems.",
keywords = "Biogeography-Based Optimization, Protein Prediction, migration method",
author = "Junsong Fan and Haibin Duan and Guangming Xie and Hong Shi",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Joint Conference on Neural Networks, IJCNN 2014 ; Conference date: 06-07-2014 Through 11-07-2014",
year = "2014",
month = sep,
day = "3",
doi = "10.1109/IJCNN.2014.6889417",
language = "英语",
series = "Proceedings of the International Joint Conference on Neural Networks",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4223--4228",
booktitle = "Proceedings of the International Joint Conference on Neural Networks",
address = "美国",
}