• DocumentCode
    3572692
  • Title

    A novel numerical optimization algorithm inspired from cell communication mechanism

  • Author

    Chuncai Xiao ; Kuangrong Hao ; Yongsheng Ding

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
  • fYear
    2014
  • Firstpage
    1342
  • Lastpage
    1347
  • Abstract
    Intelligent optimization algorithms have been successfully applied in different fields, and many practical problems have been solved, the economic benefit is increased. In this article, by studying the characteristics of medium transmission between cells and the mode of cell communication, we propose a new global optimization algorithm: cell communication optimization (CCO) combined with global optimization algorithm. The CCO is much simpler and more robust optimization algorithm compared with particle swarm optimization (PSO), improved PSO (IPSO) and fruit fly optimization algorithm (FOA). Six numerical experiment results show that the CCO had excellent global optimization capability and the ability to obtain accurate solution, the convergence precision is much higher than the other three methods.
  • Keywords
    particle swarm optimisation; FOA; cell communication mechanism; cell communication optimization; fruit fly optimization algorithm; global optimization algorithm; improved PSO; intelligent optimization algorithm; medium transmission; particle swarm optimization; robust optimization algorithm; Algorithm design and analysis; Chemicals; Educational institutions; Manganese; Optimization; Sociology; Statistics; Cell communication mechanism; intelligent computing; numerical benchmark functions; stochastic optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7052914
  • Filename
    7052914