DocumentCode :
2395956
Title :
Research on the Application of the Case Library Based on Grid Using Particle Swarm Optimization
Author :
Zhu, Hong ; Wang, Demin ; Zhou, Wengang ; Liu, Xin ; Hu, Ping
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun
fYear :
0
fDate :
0-0 0
Firstpage :
681
Lastpage :
685
Abstract :
The application of case libraries has become a main problem in engineering designs. This paper presents an organizing scheme structured in catalogs and archives to design auto-body panel die-design case library. Meanwhile, we have developed a case library framework based on grid, and solved the principal problems existing in current case libraries. For example, the applications are restricted to small enterprises, and it is difficult to realize large-scale share among various case libraries. Additionally, a modified particle swarm optimization algorithm is proposed to realize a quick match with the best case, which can satisfy the intelligence request of the case library and direct the future new designs. Experiment results show that the proposed algorithm can greatly increase the efficiency of searching the best case, and the case retrieved by our method has a higher similar accuracy compared with the objective case
Keywords :
automobile industry; automotive components; design engineering; dies (machine tools); digital libraries; grid computing; particle swarm optimisation; production engineering computing; auto-body panel die-design case library; engineering designs; grid based case library; particle swarm optimization algorithm; Algorithm design and analysis; Catalogs; Computer aided software engineering; Computer science; Design engineering; Educational institutions; Large-scale systems; Libraries; Organizing; Particle swarm optimization; Case Library; Grid; Grid Service; PSO;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Ft. Lauderdale, FL
Print_ISBN :
1-4244-0065-1
Type :
conf
DOI :
10.1109/ICNSC.2006.1673228
Filename :
1673228
Link To Document :
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