DocumentCode :
2703180
Title :
A New Algorithm for the Longest Common Subsequence Problem
Author :
Xiang, Xuyu ; Zhang, Dafang ; Qin, Jiaohua
fYear :
2007
fDate :
15-19 Dec. 2007
Firstpage :
112
Lastpage :
115
Abstract :
In order to find the longest common subsequence (LCS) as soon as possible, we, with the method of match pairs, propose the new algorithm of the sequence of DNA, which is efficient both in time and in space on the basis of the improved dynamic programming theorem.
Keywords :
DNA; biology computing; computational complexity; dynamic programming; molecular biophysics; sequences; DNA sequence; LCS problem; dynamic programming theorem; longest common subsequence problem; nondynamic programming; Computational intelligence; Computer security; DNA computing; Dynamic programming; Genetic mutations; Heuristic algorithms; Sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3073-4
Type :
conf
DOI :
10.1109/CISW.2007.4425458
Filename :
4425458
Link To Document :
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