• DocumentCode
    2851561
  • Title

    Variable Neighborhood Search as Genetic Algorithm Operator for DNA Fragment Assembling Problem

  • Author

    Minetti, Gabriela ; Luque, Gabriel ; Alba, Enrique

  • Author_Institution
    Lab. de Investig. en Sist. Inteligentes, Univ. Nac. de La Pampa, Santa Rosa
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    714
  • Lastpage
    719
  • Abstract
    Many specific algorithms and metaheuristics have been proposed for solving the DNA fragment assembly problem, but new algorithms with more capacity for solving this problem are necessary. The fragment assembly problem consists in building the DNA sequence from several hundreds (or even, thousands) of fragments obtained by biologists in the laboratory. This is an important task in any genome project since the rest of the phases depend on the accuracy of the results of this stage. In order to achieve this objective we propose a hybrid algorithm that achieves very accurate results in comparison with other metaheuristics.
  • Keywords
    DNA; genetic algorithms; search problems; DNA fragment assembling problem; genetic algorithm operator; variable neighborhood search; Artificial neural networks; Assembly systems; Bioinformatics; DNA computing; Genetic algorithms; Genomics; Hybrid intelligent systems; Laboratories; Search methods; Sequences; DNA Fragment Assembling Problem; Genetic Algorithm; Variable Neighborhood Search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2008. HIS '08. Eighth International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-0-7695-3326-1
  • Electronic_ISBN
    978-0-7695-3326-1
  • Type

    conf

  • DOI
    10.1109/HIS.2008.182
  • Filename
    4626715