An Improved Artificial Fish Swarm Algorithm and Its Application in Multiple Sequence Alignment

被引：9
|
作者：
Yang, Wei-Hong [1 ]
机构：
[1] Jilin Business & Technol Coll, Dept Comp Sci, Changchun 130062, Peoples R China
来源：
JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE | 2014年 / 11卷 / 03期
关键词：
Artificial Fish Swarm Algorithm; Swarm Intelligence; Multiple Sequence Alignment; PLANT OPTIMIZATION ALGORITHM; ANT-COLONY ALGORITHM; SOLVE TOY MODEL; GRAPH; WSN;
D O I：
10.1166/jctn.2014.3442
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
In this paper, a hybrid optimization algorithm for the Multiple Sequence Alignment is presented. Our method is presented Artificial Fish Swarm Algorithm by employing some improvements. The goal of our method is to reduce the required computing time and get better solution. In our simulations we use the instances of TSPLIB to show that the speed of convergence of the improved algorithm can be enhanced greatly compared with the traditional algorithm, we also present the comparison of the improved algorithm and the traditional algorithm on different sequences.
引用
收藏
页码：888 / 892
页数：5
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