• DocumentCode
    2259170
  • Title

    Study on the Principles of the Intelligent Diet Arrangement System Based on Multi-Agent

  • Author

    Wang, Fule ; Yuan, Yuan ; Pan, Yu ; Hu, Bin

  • Author_Institution
    Coll. of Manage. Sci. & Eng., Nanjing Univ. of Technol., Nanjing
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    264
  • Lastpage
    268
  • Abstract
    Based on the individualized requirements of the customers as regards to reasonable diet, diet medication and so on, this article simulates the nutritionist´s experience by artificial intelligence, and uses Internet as the technical platform, so as to introduce to customers a scientifically and perfectly structured menu or diet medication plan based on their preference and health status by using actual-time recognition, collocation and integration. According to the complexion of the process of intelligent diet arrangement, the system referring in the paper adopts the genetic algorithm as the key algorithm. For increasing the efficiency of process the system, this paper improves the genetic algorithm and makes adaptability perfection in the process of iterative computation, the intelligent diet management system based on multi-agent is preliminarily achieved.
  • Keywords
    Internet; genetic algorithms; health care; iterative methods; medical information systems; multi-agent systems; Internet; artificial intelligence; diet management; genetic algorithm; intelligent diet arrangement system; iterative computation; menu plan; multiagent system; Artificial intelligence; Educational institutions; Electrical equipment industry; Financial management; Genetic algorithms; Industrial control; Intelligent systems; Medical diagnostic imaging; Medical simulation; Multiagent systems; Embedded Development; Modern Genetic Algorithm; Multi-agent; Specialist Decision Supportive System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.162
  • Filename
    4739576