• DocumentCode
    2083416
  • Title

    Afforestation Program based on self-adaptive Genetic Algorithm

  • Author

    Li, JinMing ; Wang, MeiFang

  • Author_Institution
    Data Min., Artificial Intell., Fujian Agri.&Fore. Univ., China
  • Volume
    1
  • fYear
    2008
  • fDate
    17-19 Nov. 2008
  • Firstpage
    545
  • Lastpage
    548
  • Abstract
    For a long time, afforestation program workers mainly depend on manual planning or use of some common computer software to aid planning, which make the work tedious and inefficient, and bring about rough design and unscientific calculation. The paper sets forward genetic algorithm to determine the most effectual scheme under the restricted conditions of funds, variety and quantities of seedlings. The mathematical models and concrete methods are offered and discussed. And it is found out the satisfactory results by applying this algorithm on afforestation program under the restricted conditions.
  • Keywords
    forestry; genetic algorithms; planning; afforestation program; computer software; manual planning; rough design; self-adaptive genetic algorithm; unscientific calculation; Artificial intelligence; Convergence; Educational institutions; Forestry; Genetic algorithms; Intelligent systems; Knowledge engineering; Optimization methods; Software; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-2196-1
  • Electronic_ISBN
    978-1-4244-2197-8
  • Type

    conf

  • DOI
    10.1109/ISKE.2008.4730991
  • Filename
    4730991