DocumentCode
2781208
Title
A constraint based evolutionary decision support system for product design
Author
Guoyan, Yu ; Xiaozhen, Wang ; Peng, Li
Author_Institution
Eng. Coll., Guangdong Ocean Univ., Zhanjiang, China
fYear
2009
fDate
17-19 June 2009
Firstpage
2585
Lastpage
2590
Abstract
At conceptual design stage, designers often tend to be restricted by general stereotypes and by their previous design experiences. Consequently, this paper proposes a constraint-based cooperative interactive design method, in order to combine human intelligence and computer intelligence for product design. The model of constraint based human machine cooperative interactive design system is described, how to realize the human machine cooperative interactive optimal search by genetic algorithm (GA) is discussed in detail. In design process, GA is employed to search for a near-optimal design, and a trained neural network is used as a fitness function. Finally, a mould injection structure design is chosen as the subject of the current investigation.
Keywords
CAD/CAM; decision support systems; genetic algorithms; injection moulding; learning (artificial intelligence); man-machine systems; moulding equipment; product design; search problems; constraint-based cooperative interactive design method; evolutionary decision support system; genetic algorithm; human intelligence; human machine cooperative interactive optimal search; mould injection structure design; neural network training; product design; Algorithm design and analysis; Competitive intelligence; Decision support systems; Design methodology; Genetic algorithms; Humans; Machine intelligence; Neural networks; Process design; Product design; Constraint based; Cooperative Interactive; Genetic algorithm; Product design;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5191831
Filename
5191831
Link To Document