The longest common subsequence problem is classical string problem. It has applications, for example, in pattern
recognition and bioinformatics. In this work we present a socalled Beam-ACO approach for solving this problem. Beam-ACO algorithms are hybrid techniques that results from a
combination of ant colony optimization and beam search, which is an incomplete branch and bound derivative. Our results show that Beam-ACO is able to find new best solutions for 31 out of 60 benchmark instances that we chose for the experimental evaluation of the algorithm.
CitationBlum, C. Beam-ACO for the longest common subsequence problem. A: IEEE World Congress on Computational Intelligence. "2010 IEEE World Congress on Computational Intelligence". Barcelona: IEEE Computer Society Publications, 2010, p. 1-8.
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