DocumentCode :
2740867
Title :
Dynamic Matching Operation in SDN
Author :
Liu, Caihong ; Xu, Fuyuan
Author_Institution :
Univ. of Shanghai for Sci. & Technol., Shanghai
fYear :
2007
fDate :
5-7 Sept. 2007
Firstpage :
486
Lastpage :
486
Abstract :
When a target is influenced by environment to change, its suitability will be changed to a degree. Under such circumstance, the traditional static linear matching method will lose its effectiveness as the accuracy of search is reduced. So, here, the thought of chaos genetic algorithms (CGA) is introduced to improve the matching accuracy in a dynamic environment. In view of the disadvantage of supply chain for its limit open and demonstrating competition excessively, which binds up its matching utility, the SDN is introduced as enterprises management model. Accordingly, the SDN enterprise management information system (MIS) will carry out the purpose of global supply and demand resources dynamic matching by the CGA method in SDN enterprises.
Keywords :
chaos; genetic algorithms; supply and demand; supply chain management; SDN enterprise; chaos genetic algorithm; dynamic matching; enterprise management information system; enterprises management model; static linear matching; supply and demand network; supply chain; Chaos; Fluctuations; Genetic algorithms; Humans; Management information systems; Nonlinear dynamical systems; Supply and demand; Supply chain management; Supply chains; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
Type :
conf
DOI :
10.1109/ICICIC.2007.275
Filename :
4428128
Link To Document :
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