International Journal of Computational Intelligence Systems

Volume 7, Issue sup2, July 2014, Pages 74 - 84

Application of Interactive Genetic Algorithm based on hesitancy degree in product configuration for customer requirement

Authors
Runliang Dou, Chao Zong
Corresponding Author
Runliang Dou
Available Online 9 January 2017.
DOI
https://doi.org/10.1080/18756891.2014.947118How to use a DOI?
Keywords
Hesitancy Degree, Interactive Genetic Algorithm, Customer oriented, Product Configuration
Abstract
With significant impact on the personalized product configuration, Interactive Genetic Algorithm is introduced to respond to customer requirement. For the user could conveniently design their favorite product and interact with the system by a graphical interface, the car console conceptual design system is established. And IGA based on hesitancy degree is proposed in this paper to reduce user's uncertainty or fuzzy feeling. By repeating the simulation experiment, the results validate the effectiveness of the proposed method in this paper.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
7 - 100
Pages
74 - 84
Publication Date
2017/01
ISSN
1875-6883
DOI
https://doi.org/10.1080/18756891.2014.947118How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Runliang Dou
AU  - Chao Zong
PY  - 2017
DA  - 2017/01
TI  - Application of Interactive Genetic Algorithm based on hesitancy degree in product configuration for customer requirement
JO  - International Journal of Computational Intelligence Systems
SP  - 74
EP  - 84
VL  - 7
IS  - sup2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2014.947118
DO  - https://doi.org/10.1080/18756891.2014.947118
ID  - Dou2017
ER  -