• DocumentCode
    1827896
  • Title

    Utopian exploration of global patterns of plant metabolism

  • Author

    Furze, James N. ; Quanmin Zhu ; Feng Qiao ; Hill, Jason

  • Author_Institution
    Fac. of Environ. & Technol., Univ. of the West of England, Bristol, UK
  • fYear
    2013
  • fDate
    Aug. 31 2013-Sept. 2 2013
  • Firstpage
    47
  • Lastpage
    52
  • Abstract
    In order to differentiate the photosynthetic processes of plant species in a variable dynamic, a hybrid genetic-fuzzy system for Cuba is designed in this paper. The proposed fuzzy control algorithm and consequent genetic optimization, process species numbers and characteristics of metabolism, in order to overcome non-linearity in the water energy dynamic. Furthermore, exploration into the utopia hyper-plane of metabolic characters, enable accurate prediction of climatic variables. Results of the Pareto front display a utopia line, which validates the effectiveness of MOGA application with biological data.
  • Keywords
    botany; fuzzy control; genetic algorithms; photosynthesis; Cuba; MOGA application; Pareto front display; Utopia line; Utopian exploration; biological data; fuzzy control algorithm; genetic optimization; global patterns; hybrid genetic-fuzzy system; photosynthetic processes; plant metabolism; plant species; utopia hyper-plane; variable dynamic; water energy dynamic; Biochemistry; Biological cells; Computer aided manufacturing; Optimization; Sociology; Statistics; Vectors; Metabolism; Photosynthetic processes; hybrid genetic fuzzy system; utopia hyper-plane;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling, Identification & Control (ICMIC), 2013 Proceedings of International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-0-9567157-3-9
  • Type

    conf

  • Filename
    6642198