Penalty function optimization in dual response surfaces based on decision maker's preference and its application to real data
The dual response surface methodology is a widely used technique in industrial engineering for simultaneously optimizing both the process mean and process standard deviation functions of the response variables. Many optimization techniques have been proposed to optimize the two fitted response surfa...
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Main Authors: | , |
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Format: | Article |
Published: |
MDPI
2022
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Online Access: | http://psasir.upm.edu.my/id/eprint/102686/ https://www.mdpi.com/2073-8994/14/3/601 |
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Institution: | Universiti Putra Malaysia |
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