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基于遗传算法与星比对的多序列比对混合算法
引用本文:胡桂武,郑启伦,彭宏.基于遗传算法与星比对的多序列比对混合算法[J].计算机应用,2004,24(5):90-91,112.
作者姓名:胡桂武  郑启伦  彭宏
作者单位:华南理工大学,计算机科学与工程学院,广东,广州,510640
基金项目:国家自然科学基金项目 (3 0 2 3 0 3 50 )
摘    要: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。文章针对MSA问题提出了将遗传算法与星比对算法结合在一起的混合算法,该算法充分发挥了遗传算法和星比对算法的优越性,可提高求解MSA问题的计算精度和计算速度,整个算法模拟了自然界进化的周期性,较好的解决了群体的多样性和收敛深度的矛盾。实验表明,该算法是有效的。

关 键 词:多序列比对  生物信息学  遗传算法  星比对  算子
文章编号:1001-9081(2004)05-0090-02

A Hybrid Algorithm Based on Genetic Algorithm and Star Alignment for Multiple Sequence Alignment
HU Gui-wu,ZHENG Qi-lun,PENG Hong.A Hybrid Algorithm Based on Genetic Algorithm and Star Alignment for Multiple Sequence Alignment[J].journal of Computer Applications,2004,24(5):90-91,112.
Authors:HU Gui-wu  ZHENG Qi-lun  PENG Hong
Abstract:Multiple Sequence Alignment (MSA) is a typical NP-Complete problem. Star alignment is an effective algorithm for MSA. In this paper,the mixed algorithm of genetic algorithm and Star alignment algorithm are brought forward. The new algorithm not only sufficiently exerts the advantages of the two algorithms,but also improves the computing precision and speed. The algorithm simulates the recurrence of nature evolution process,and solves the contradiction between the diversity of population and the convergence speed. Experiments show the algorithm is effective.
Keywords:Multiple Sequence Alignment(MSA)  genetic algorithm  bioinformatics  star alignment  operator
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