• DocumentCode
    503910
  • Title

    The Optimization of Cooperative Bacterial Foraging

  • Author

    Shao, Yichuan ; Chen, HanNing

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Shenyang Univ., Shenyang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    519
  • Lastpage
    523
  • Abstract
    Bacterial foraging optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria. This paper presents a variation on the original BFO algorithm, namely the cooperative bacterial foraging optimization (CBFO), which significantly improve the original BFO in solving complex optimization problems. This significant improvement is achieved by applying two cooperative approaches to the original BFO, namely the serial heterogeneous cooperation on the implicit space decomposition level and the serial heterogeneous cooperation on the hybrid space decomposition level.
  • Keywords
    biocomputing; genetic algorithms; particle swarm optimisation; E. coli bacteria; cooperative bacterial foraging optimization; hybrid space decomposition level; implicit space decomposition level; serial heterogeneous cooperation; social foraging behavior; Automation; Computational modeling; Computer applications; Information science; Machine learning algorithms; Microorganisms; Optimal control; Propagation losses; Software engineering; Space exploration; Bacterial Foraging Optimization; Cooperative Bacterial Foraging Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.195
  • Filename
    5319520