• DocumentCode
    3302314
  • Title

    Equilibrium species counts and migration model tradeoffs for biogeography-based optimization

  • Author

    Ma, Haiping ; Ni, Suhong ; Sun, Man

  • Author_Institution
    Dept. of Phys. & Electr. Eng., Shaoxing Univ., Shaoxing, China
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    3306
  • Lastpage
    3310
  • Abstract
    Motivated by the migration mechanisms of ecosystems, various extensions to biogeography-based optimization (BBO) are proposed. BBO is an original optimization method based on the mathematical model of organism distribution in biological systems. BBO is an evolutionary process that achieves information sharing by species migration. This paper generalizes the equilibrium species count in biogeography theory, discusses various migration models in BBO, and investigates performance through benchmark functions. The performance study shows the most effect migration scheme for BBO and shows that it is a promising candidate for optimization.
  • Keywords
    artificial life; evolutionary computation; optimisation; biogeography-based optimization; biological system; ecosystem; equilibrium species count; evolutionary process; information sharing; migration mechanism; organism distribution; species migration; Ant colony optimization; Biogeography; Biological system modeling; Biological systems; Ecosystems; Mathematical model; Optimization methods; Organisms; Performance analysis; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400004
  • Filename
    5400004