DocumentCode
2995054
Title
Research on model of cooperative technology service based on genetic fusion algorithm
Author
Yu Tian-biao ; Ding Jun-mei ; Song Ya-hong ; Wang Na ; Wang Wan-shan
Author_Institution
Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang, China
fYear
2012
fDate
20-22 Sept. 2012
Firstpage
1673
Lastpage
1679
Abstract
This paper has researched the technical service mode firstly, put forward to the JSP manufacturing technology service platform adapting information, scientific, networked, specialization, and coordination, and set up the framework of the application technology service platform. The way of the manufacturing technology service knowledge fusion has been proposed, around the advantages of genetic algorithm, the genetic fusion algorithm has put forward, and the knowledge fusion system function model was set up using for the technical service. And then the technical service knowledge base structure was built using the object-oriented technical knowledge representation method form the concept of knowledge element. Knowledge fusion adaptive genetic algorithm which could be used for knowledge fusion was designed in order to achieve technical service Knowledge fusion. Finally, the feasibility of technology service knowledge fusion was proved through the simulation analysis of this algorithm.
Keywords
genetic algorithms; knowledge representation; manufacturing systems; object-oriented programming; JSP manufacturing technology service platform; cooperative technology service; genetic fusion algorithm; object-oriented technical knowledge representation; service knowledge fusion; technical service; Algorithm design and analysis; Companies; Genetic algorithms; Genetics; Knowledge engineering; Libraries; Manufacturing; genetic algorithm; knowledge base; knowledge fusion; networked collaboration; technology service;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location
Dallas, TX
ISSN
2155-1847
Print_ISBN
978-1-4673-3015-2
Type
conf
DOI
10.1109/ICMSE.2012.6414397
Filename
6414397
Link To Document