• DocumentCode
    1654817
  • Title

    Research on the DNA Sequence Design Based on GA/PSO Algorithms

  • Author

    Xu, Chunxia ; Zhang, Qiang ; Wang, Bin ; Zhang, Rui

  • Author_Institution
    Liaoning Key Lab. of Intell. Inf. Process., Dalian Univ. Dalian, Dalian
  • fYear
    2008
  • Firstpage
    816
  • Lastpage
    819
  • Abstract
    The core reaction of DNA computing is the specific hybridization, which may results in incorrect or undesirable computations. Therefore, so far much works have focused on designing the DNA sequences to make the molecular computation more reliable. In this paper, we formulate the DNA sequence design as a multi-objective optimization problem and solve it by Genetic Algorithm (GA)/Particle Swarm Optimization (PSO), which integrate GA with the characteristic of convergence and PSO with the characteristic of rapidly converging. Furthermore, a computer simulation is conducted and seven better DNA sequences are obtained to prove the efficiency of our method given here.
  • Keywords
    DNA; biocomputing; genetic algorithms; particle swarm optimisation; DNA computing; DNA sequence design; GA/PSO algorithms; genetic algorithm; molecular computation; particle swarm optimization; Algorithm design and analysis; Ant colony optimization; Biology computing; Chemicals; DNA computing; Encoding; Genetic algorithms; Optimization methods; Physics computing; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1747-6
  • Electronic_ISBN
    978-1-4244-1748-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2008.200
  • Filename
    4535080