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Title:
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Beam-ACO for the longest common subsequence problem
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Author:
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Blum, Christian
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals |
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Abstract:
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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. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat
-Ant colony optimization
-Beam search
-Mathematical optimization
-Optimització matemàtica
-Algorisme de la colònia de formigues |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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Published by:
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IEEE Computer Society Publications
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