Referenced Items are not available for this document.
A major problem in product development is the selection of a set of conditions (parameters) which will result in a product with desirable performance. This problem is even more significant when optimizing multiple responses under a common set of constraints. This paper addresses the application of multiobjective optimization (MOP) techniques to process optimization where processes are represented using regression or neural network (NN) models. The application of MOP using regression and NN process modeling techniques is demonstrated through two examples
Published in:
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
(Volume:3
)
Date of Conference: 1999
- Page(s):
- 527 - 532 vol.3
- Meeting Date :
- 12 Oct 1999-15 Oct 1999
- ISSN :
- 1062-922X
- Print ISBN:
- 0-7803-5731-0
- INSPEC Accession Number:
- 6506136
- Conference Location :
- Tokyo
- Digital Object Identifier :
- 10.1109/ICSMC.1999.823266
- Product Type:
- Conference Publications
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