Hybrid techniques based on solving reduced problem instances for a longest common subsequence problem.

Applied Soft Computing(2018)

Cited 8|Views12
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Abstract
•We study the use of an ILP model for the longest arc-preserving subsequence problem.•Heuristically reducing the model size leads to good results for artificial instances.•We also propose a hybrid algorithm that makes use of the ILP model.•Real world instances are best solved with the hybrid algorithm.•We empirically show the reasons for obtaining these results.
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Key words
Combinatorial optimization,Longest common subsequences,Integer linear programming,Heuristic,Hybrid algorithm
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