A large neighborhood search heuristic for the longest common subsequence problem

@article{Easton2008ALN,
  title={A large neighborhood search heuristic for the longest common subsequence problem},
  author={Todd Easton and Abhilash Singireddy},
  journal={J. Heuristics},
  year={2008},
  volume={14},
  pages={271-283}
}
Given a set S={S,...,S} of finite strings, the k-Longest Common Subsequence Problem (k-LCSP) seeks a string L* of maximum length such that L* is a subsequence of each S for i=1,...,k. This paper presents a large neighborhood search technique that provides quality solutions to large k-LCSP instances. This heuristic runs in linear time in both the length of the sequences and the number of sequences. Some computational results are provided. 

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