Highly Influenced

12 Excerpts

- Published 2007 in Computers & OR

The longest common subsequence problem is a classical string problem that concerns finding the common part of a set of strings. It has several important applications, for example, in pattern recognition or computational biology. Most research efforts up to now have focused on solving this problem optimally. In comparison, only few works exist dealing with heuristic approaches. In this work we present a deterministic beam search algorithm. The results show that our algorithm outperforms classical approaches as well as recent metaheuristic approaches.

@article{Blum2007BeamSF,
title={Beam search for the longest common subsequence problem},
author={Christian Blum and Maria J. Blesa and Manuel L{\'o}pez-Ib{\'a}{\~n}ez},
journal={Computers & OR},
year={2007},
volume={36},
pages={3178-3186}
}