scholarly journals BASED ON GENETIC ALGORITHM KNOWLEDGE ACQUISITION MODEL

Author(s):  
Zetian Fu ◽  
Le Chen ◽  
Yonghong Guo ◽  
Yongmei Guo
2010 ◽  
Vol 97-101 ◽  
pp. 3341-3344
Author(s):  
Dong Bo Wang ◽  
Xiu Tian Yan ◽  
Ning Sheng Guo ◽  
Tao Li

In order to support the dynamic and creative Engineering Design Process (EDP) comprehensively, after a detailed literature review, a multi autonomic objects (AO) flexible workflow is applied into the supporting and management of EDP, its support for decision making, EDP evolution and design activity granularity is explained, finally and most importantly, a genetic algorithm-based AO knowledge learning method is proposed, the algorithm is demonstrated by a MATLAB simulation that it can satisfy the knowledge acquisition in EDP satisfactorily.


2001 ◽  
Vol 40 (4) ◽  
pp. 361-377 ◽  
Author(s):  
Ali Kamrani ◽  
Wang Rong ◽  
Ricardo Gonzalez

2012 ◽  
Vol 591-593 ◽  
pp. 2376-2380
Author(s):  
Wei Wei Liu ◽  
Shu Ying Shen

With the purpose of conducting new product development or designing variant product quickly, designers need to acquire relevant design knowledge and historical experience; thus, design knowledge acquisition arose at the historic moment. In the light of basic principles, characteristics and process of adaptive genetic algorithm, some kind of design knowledge in repository need to be disposed with a series of operations such as selection, crossover and mutation etc. And with the desired requirements of that kind of mechanical products, we could get the similar design or sometimes the 'perfect' solution in the knowledge base. In this essay, we take manipulator for example to acquire design knowledge; it not only validates the effectiveness of this method but also provides a new reference of design knowledge acquisition in new product development.


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