Identification of an appropriate linkage curve is an important step in the application of linkage mechanisms. This paper applies a new identification method, evolutionary identification, to search tbr the curve based on the analogy of species evolution. In this method, features of general linkage curves are defined and represented as evolutionary factors, or “genes”. Then the evolutionary factors are operated through evolutionary computation. This method can automatically identity the curve with the maximum similarity and thus obtain the structural parameters of the curve from the atlas base of linkage curves. General principles are also given for the evolutionary identification approach as a new identification method. The proposed method has been coded and applied in real linkage design problems. Further research topics are also discussed.
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ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
September 29–October 2, 2002
Montreal, Quebec, Canada
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
0-7918-3621-5
PROCEEDINGS PAPER
An Evolutionary Approach to the Identification of Linkage Curves
Hongjie Li,
Hongjie Li
Huazhong University of Science and Technology, Wuhan, P. R. China
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Gary Wang,
Gary Wang
University of Manitoba, Winnipeg, MB, Canada
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Renbin Xiao
Renbin Xiao
Huazhong University of Science and Technology, Wuhan, P. R. China
Search for other works by this author on:
Hongjie Li
Huazhong University of Science and Technology, Wuhan, P. R. China
Gary Wang
University of Manitoba, Winnipeg, MB, Canada
Renbin Xiao
Huazhong University of Science and Technology, Wuhan, P. R. China
Paper No:
DETC2002/CIE-34395, pp. 103-109; 7 pages
Published Online:
June 18, 2008
Citation
Li, H, Wang, G, & Xiao, R. "An Evolutionary Approach to the Identification of Linkage Curves." Proceedings of the ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 1: 22nd Computers and Information in Engineering Conference. Montreal, Quebec, Canada. September 29–October 2, 2002. pp. 103-109. ASME. https://doi.org/10.1115/DETC2002/CIE-34395
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