• DocumentCode
    3272965
  • Title

    Magnetotactic bacteria optimization algorithm for multimodal optimization

  • Author

    Hongwei Mo ; Lifang Xu

  • Author_Institution
    Autom. Coll., Harbin Eng. Univ., Harbin, China
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    240
  • Lastpage
    247
  • Abstract
    Magnetotactic bacteria (MTB) is a kind of polyphyletic group of prokaryotes with the characteristics of magnetotaxis that make them orient and swim along geomagnetic field lines. Magnetotactic bacteria is the optimized product of nature by long process of evolution. A new optimization algorithm called magnetotactic bacteria optimization algorithm (MBOA), which is inspired by the characteristics of magnetotactic bacteria is researched on multimodal problems in the paper. It is compared with classical genetic algorithm and some relatively new optimization algorithms. All of them are tested on 10 standard multimodal functions problems. The experiment results show that the proposed MBOA is effective in optimization problems and has better performance than the other algorithms.
  • Keywords
    evolutionary computation; optimisation; MBOA; MTB optimization algorithm; geomagnetic field lines; magnetotactic bacteria optimization algorithm; magnetotaxis; multimodal function problems; multimodal optimization; polyphyletic group; prokaryotes; Magnetic moments; Magnetostatics; Microorganisms; Optimization; Sociology; Statistics; Magnetotactic bacteria; nature inspired computing; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Swarm Intelligence (SIS), 2013 IEEE Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/SIS.2013.6615185
  • Filename
    6615185