• DocumentCode
    2979387
  • Title

    A Memetic Algorithm for closest string problem and farthest string problem

  • Author

    Babaie, Maryam ; Mousavi, Seyed Rasoul

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
  • fYear
    2010
  • fDate
    11-13 May 2010
  • Firstpage
    570
  • Lastpage
    575
  • Abstract
    Sequences consensus problems are especially important in studying molecular evolution, protein structures, and drug target design. In this paper, we work on two of these problems, namely closest string problem and farthest string problem. These problems are NP-hard, and none of exact algorithms already proposed to solve them is in polynomial time. Many non-exact algorithms have been proposed which try to obtain ‘good’ solutions in acceptable time for these problems. In this paper, a Memetic Algorithm (MA) is proposed for the closest string problem, which outperforms the existing algorithms. We then extend the proposed algorithm to address the farthest string problem.
  • Keywords
    Approximation algorithms; Bioinformatics; Computational biology; Drugs; Evolution (biology); Genetic algorithms; Iterative algorithms; Polynomials; Sequences; Simulated annealing; Bioinformatics; Memetic algorithm; metaheuristic; string selection problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2010 18th Iranian Conference on
  • Conference_Location
    Isfahan, Iran
  • Print_ISBN
    978-1-4244-6760-0
  • Type

    conf

  • DOI
    10.1109/IRANIANCEE.2010.5507004
  • Filename
    5507004