Sequence alignment algorithm is an important research direction in Bioinfor-matics. Dynamic programming is the most efficient and basic method in sequence alignment algorithm.
序列比对算法是生物信息学中重要的研究方向之一，而动态规划法是序列比对算法中最有效最基本的方法。
Propose an action recognition algorithm based on optical-flow feature and Sequence Alignment.
提出了一套基于光流特征和序列比对的行为识别算法。
This paper Proposed an action recognition algorithm based on optical-flow feature and sequence alignment.
提出一种基于光流特征与序列比对的行为识别算法。
The test result shows that the accuracy of MSA-GSA has improved and the algorithm is effective in multiple sequence alignment.
经测试MS A -GSA算法精度有大幅提高，证明该算法在解决多序列比对问题上是行之有效的。
Multiple Sequence alignment (MSA) is a typical NP-Complete problem. Star alignment is an effective algorithm for MSA.
多序列比对(msa)是一个典型的NP完全问题，星比对是一种有效的多序列比对算法。
Despite immune system has many perfect calculation properties, the known immune algorithm models exist many bugs to be used to DNA multiple sequence alignment.
虽然以往的免疫算法有许多优良的计算特性，但在DNA多序列比对(MSA)中已知的免疫算法模型仍有许多不足。
This thesis mainly focuses on the study of double sequence alignment and multiple sequence alignment based on ant colony algorithm.
本文将蚁群算法引入序列比对，并对基于蚁群算法的双序列比对和多序列比对进行了研究。
This thesis mainly focuses on the study of double sequence alignment and multiple sequence alignment based on ant colony algorithm.
本文将蚁群算法引入序列比对，并对基于蚁群算法的双序列比对和多序列比对进行了研究。
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