DocumentCode :
3347629
Title :
Application Research of GA in Parametric and Variant Design
Author :
Zhong, Y.R. ; Wu, B.Y. ; Peng, J.
Author_Institution :
Sch. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
fYear :
2009
fDate :
14-17 Oct. 2009
Firstpage :
133
Lastpage :
136
Abstract :
The current research of product variant design is focused on how to make it effective and feasible, but it is of no any methodology to get the optimized result of the designing. Based on the special research of the parametric variant design and genetic algorithms, a new optimal method of parametric and variant design is presented. By analyzing mechanical product parameters and their relevance, we build the master cast of the mechanical product. In the genetic algorithm module, the engineering requirements are expressed by mathematic model. The parameters are optimized through global searching, and the objective function and performance constraint function are built in genetic algorithm. After a global optimal convergence, the optimal solution will be found. The solution of product variant design is achieved after importing the optimal solution into the master cast. Moreover, the procedure based on genetic algorithm is realized, which aimed at a type of high speed shaft. The experimental result demonstrates that the proposed method is efficient and feasible.
Keywords :
genetic algorithms; product customisation; product design; genetic algorithm; global searching; mathematic model; mechanical product parameters; parametric variant design; performance constraint function; product variant design; Algorithm design and analysis; Constraint optimization; Design optimization; Genetic algorithms; Genetic engineering; Mathematical model; Mathematics; Mechanical products; Product design; Shafts; genetic algorithms; optimal solution; parametric and variant design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
Type :
conf
DOI :
10.1109/WGEC.2009.199
Filename :
5402928
Link To Document :
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