Improved Biogeography-Based Optimization approach to secondary protein prediction

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	Improved Biogeography-Based Optimization approach to secondary protein prediction
	Fan, Junsong ; Duan, Haibin ; Xie, Guangming ; Shi, Hong
	2014
DOI	10.1109/IJCNN.2014.6889417
英文摘要	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. ? 2014 IEEE.; EI; 4223-4228
会议录	2014 International Joint Conference on Neural Networks, IJCNN 2014
语种	英语
内容类型	会议论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/423974]
专题	工学院
推荐引用方式 GB/T 7714	Fan, Junsong,Duan, Haibin,Xie, Guangming,et al. Improved Biogeography-Based Optimization approach to secondary protein prediction[C]. 见:.