CLC number: TH122
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2016-03-08
Cited: 0
Clicked: 4677
Citations: Bibtex RefMan EndNote GB/T7714
Hao Zheng, Yi-xiong Feng, Jian-rong Tan, Zhi-feng Zhang, Zi-xian Zhang. An integrated cognitive computing approach for systematic conceptual design[J]. Journal of Zhejiang University Science A, 2016, 17(4): 286-294.
@article{title="An integrated cognitive computing approach for systematic conceptual design",
author="Hao Zheng, Yi-xiong Feng, Jian-rong Tan, Zhi-feng Zhang, Zi-xian Zhang",
journal="Journal of Zhejiang University Science A",
volume="17",
number="4",
pages="286-294",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1500161"
}
%0 Journal Article
%T An integrated cognitive computing approach for systematic conceptual design
%A Hao Zheng
%A Yi-xiong Feng
%A Jian-rong Tan
%A Zhi-feng Zhang
%A Zi-xian Zhang
%J Journal of Zhejiang University SCIENCE A
%V 17
%N 4
%P 286-294
%@ 1673-565X
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1500161
TY - JOUR
T1 - An integrated cognitive computing approach for systematic conceptual design
A1 - Hao Zheng
A1 - Yi-xiong Feng
A1 - Jian-rong Tan
A1 - Zhi-feng Zhang
A1 - Zi-xian Zhang
J0 - Journal of Zhejiang University Science A
VL - 17
IS - 4
SP - 286
EP - 294
%@ 1673-565X
Y1 - 2016
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1500161
Abstract: conceptual design plays an important role in product life cycle, which requires engineers to use sound design theory, cross-disciplinary knowledge, and complex technical support to acquire design concepts. However, the lack of sufficient computational tools makes it difficult for designers to fully explore in the wide design solution spaces. Therefore, this paper proposes an integrated cognitive computing approach to formalize the cognitive activities of conceptual design. A cognitive computing model composed of concept associative memory, concept generation, and decision-making process is established based on the integration of cognitive psychology and engineering design. First of all, the Hopfield neural network is used to acquire similar concept solutions for specific subfunctions from a knowledge base. Then, morphological matrix and genetic algorithm are introduced to produce a set of feasible candidate solutions in the concept generation process. Furthermore, a technique for order preference by similarity to an ideal solution is applied to evaluate the generated concept solutions and obtain the optimal solution automatically. Finally, a case study is given to demonstrate the effectiveness and efficiency of the proposed approach.
Overall the paper is good. It describes an interesting design issue about creativity during the conceptual design phase. It presents a methodology which can help designers to consider alternative designs.
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