9th Joint International Conference on Information Sciences (JCIS-06)

Multiple Dynamic Quality Systems Using Hybrid Neuro-Ants Technique

Authors
Hsu-Hwa Chang 0, Chih-Hsien Chen, Ching-Shih Tsou
Corresponding Author
Hsu-Hwa Chang
0National Taipei College of Business
Available Online October 2006.
DOI
https://doi.org/10.2991/jcis.2006.239How to use a DOI?
Keywords
Artificial network networks, continuous ant colony optimization, dynamic systems, desirability functions, multiple responses, robust design.
Abstract
Robust parameter design has been successfully applied to a variety of engineering problems for enhancing the robustness of the system; however, it cannot deal with multiple dynamic quality systems. Although several other approaches have been presented to resolve this problem, they are unable to efficiently treat the situations that the control factors have continuous values. This study incorporates desirability functions into a hybrid neuro-ants technique to optimize the parameter design of multiple dynamic quality systems with continuous parameters. The objective is to find the best parameter settings so as to maximize simultaneously the robustness of each response. The proposed approach is illustrated with a constructed example.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.239How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hsu-Hwa Chang
AU  - Chih-Hsien Chen
AU  - Ching-Shih Tsou
PY  - 2006/10
DA  - 2006/10
TI  - Multiple Dynamic Quality Systems Using Hybrid Neuro-Ants Technique
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.239
DO  - https://doi.org/10.2991/jcis.2006.239
ID  - Chang2006/10
ER  -