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Gaofeng Huang, Andrew Lim
In this paper, we study the Longest Common Subsequence problem of multiple sequences. Because the problem is NP-hard, we devise an effective Branch-and-Bound algorithm to solve the problem. Results of extensive computational experiments show our method to be effective not only on randomly generated benchmark instances, but also on real-world protein sequence instances.
Keywords: Search, Branch-and-Bound, Bioinformatics, real-world protein sequence
Citation: Gaofeng Huang, Andrew Lim: An Effective Branch-and-Bound Algorithm to Solve the k-Longest Common Subsequence Problem. In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.191-195.
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