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- W1552017476 abstract "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." @default.
- W1552017476 created "2016-06-24" @default.
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- W1552017476 date "2003-01-20" @default.
- W1552017476 modified "2023-09-23" @default.
- W1552017476 title "Application of multiobjective optimization and neural network techniques to process design" @default.
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- W1552017476 doi "https://doi.org/10.1109/icsmc.1999.823266" @default.
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