• DocumentCode
    3223395
  • Title

    A Global Optimization Algorithm Based on Plant Growth Theory: Plant Growth Optimization

  • Author

    Cai, Wei ; Yang, Weiwei ; Chen, Xiaoqian

  • Author_Institution
    Multidiscipl. Aerosp. Design Optimization Res. Center, Nat. Univ. of Defense Technol., Changsha
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    1194
  • Lastpage
    1199
  • Abstract
    A novel optimization algorithm, plant growth optimization (PGO), is proposed in this paper. According to the plant growth characteristics, an artificial plant growth model is built including leaf growth, branching, phototropism and spatial occupancy. Afterward, two mechanisms are introduced and the basic process of PGO is presented in details. Three classical test problems are adopted to test the performance of this new algorithm and the results show that it is very effective to get global optimum solution which benefits from its search mechanism. Furthermore, the effects of population size on optimization performance are also discussed.
  • Keywords
    artificial life; botany; optimisation; artificial plant growth model; branching; global optimization algorithm; leaf growth; optimization performance; phototropism; plant growth optimization; plant growth theory; population size; search mechanism; spatial occupancy; Aerospace engineering; Aerospace materials; Ant colony optimization; Chemicals; Computational modeling; Design automation; Design optimization; Educational institutions; Production; Testing; Global Optimization; Plant Growth Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.416
  • Filename
    4659682