• DocumentCode
    1580802
  • Title

    How to Obtain Fair Managerial Decisions in Sugar Cane Harvest Using NSGA-II

  • Author

    Pacheco, Diogo Ferreira ; Lucas, Tarcísio Daniel P ; De Lima Neto, Fernando B.

  • Author_Institution
    Pernambuco State Univ., Recife
  • fYear
    2007
  • Firstpage
    186
  • Lastpage
    191
  • Abstract
    The world´s demand for sugar and particularly for renewable fuels such as ethanol requires an increase in production in sugar mills. The use of artificial neural networks (ANN) posed as a predictive core associated with the algorithm NSGA-II aims at helping decision makers to optimize the multi-objective harvest problem. This paper presents two approaches and the good results achieved as compared with other classical techniques.
  • Keywords
    agriculture; decision making; neural nets; sugar; artificial neural networks; ethanol; fair managerial decisions; multiobjective harvest problem; renewable fuels; sugar cane harvest; sugar mills; Artificial neural networks; Ethanol; Fuels; Global warming; Milling machines; Petroleum; Pollution; Production; Productivity; Sugar industry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2007. HIS 2007. 7th International Conference on
  • Conference_Location
    Kaiserlautern
  • Print_ISBN
    978-0-7695-2946-2
  • Type

    conf

  • DOI
    10.1109/HIS.2007.53
  • Filename
    4344049
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1580802