• DocumentCode
    2343012
  • Title

    A discrete particle swarm optimization algorithm for phylogenetic tree reconstruction

  • Author

    Lv, Hui-Ying ; Zhou, Wen-Gang ; Zhou, Chun-Guang

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
  • Volume
    4
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    2650
  • Abstract
    The similarity of molecular mechanisms of the organisms that have been studied strongly suggests that all organisms of Earth had a common ancestor. Thus any set of species is related, and the relationship is called a phylogeny. Usually a phylogenetic tree can represent the relationship. The task of phylogenetics is to infer this tree from observations upon the existing organisms. At present, the accuracy of the tree is not still ideal enough to reconstruction through the computer simulation. This paper introduce particle swarm optimization algorithm, and the discrete particle swarm optimization algorithm is used to inference and optimize the phylogenetic tree for the first time, and show the actual effect of this algorithm through the experiment.
  • Keywords
    genetic algorithms; inference mechanisms; optimisation; trees (mathematics); discrete particle swarm optimization algorithm; phylogenetic tree reconstruction; phylogeny; Birds; Computer science; Computer simulation; Educational institutions; Electrical capacitance tomography; Inference algorithms; Machine learning algorithms; Organisms; Particle swarm optimization; Phylogeny;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1382252
  • Filename
    1382252