The constrained shortest common supersequence problem

Shortest common supersequence and longest common subsequence are two widely used measures to compare sequences in different fields, from AI planning to Bioinformatics. Inspired by recently proposed variants of these two measures, we introduce a new version of the shortest common supersequence proble...

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Veröffentlicht in:Journal of discrete algorithms (Amsterdam, Netherlands) Jg. 21; S. 11 - 17
1. Verfasser: Dondi, Riccardo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.07.2013
Schlagworte:
Approximation algorithms
Computational complexity
Fixed-parameter algorithms
Shortest common supersequence
Shortest common supersequence
Approximation algorithms
Fixed-parameter algorithms
Computational complexity
ISSN:1570-8667, 1570-8675
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:Shortest common supersequence and longest common subsequence are two widely used measures to compare sequences in different fields, from AI planning to Bioinformatics. Inspired by recently proposed variants of these two measures, we introduce a new version of the shortest common supersequence problem, where the solution is required to satisfy a given constraint on the number of occurrences of each symbol. First, we investigate the computational and approximation complexity of the problem, then we give a 32-approximation algorithm. Finally, we investigate the parameterized complexity of the problem, and we present a fixed-parameter algorithm.
ISSN:1570-8667
1570-8675
DOI:10.1016/j.jda.2013.03.004