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
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