New Constructive Heuristics for DNA Sequencing by Hybridization

  • Christian Blum
  • Mateu Yábar Vallès
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4175)


Deoxyribonucleic acid (DNA) sequencing is an important task in computational biology. In recent years the specific problem of DNA sequencing by hybridization has attracted quite a lot of interest in the optimization community. However, in contrast to the development of metaheuristics, the work on simple constructive heuristics hardly received any attention. This is despite the fact that well-working constructive heuristics are often an essential component of succesful metaheuristics. It is exactly this lack of constructive heuristics that motivated the work presented in this paper. The results of our best constructive heuristic are comparable to the results of the best available metaheuristics, while using less computational resources.


Target Sequence Problem Instance Positive Error Negative Error Scatter Search 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Christian Blum
    • 1
  • Mateu Yábar Vallès
    • 1
  1. 1.ALBCOM, Dept. Llenguatges i Sistemes InformàticsUniversitat Politècnica de CatalunyaBarcelonaSpain

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