Batch Process Scheduling under Uncertainty using Data-Driven Multistage Adaptive Robust Optimization
This paper proposes a novel data-driven batch process scheduling approach based on multistage adaptive robust optimization coupled with robust kernel density estimation (RKDE). The kernelized iteratively re-weighted lease squares (KIRWLS) algorithm combined with kernel tricks are adopted to learn th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2017-10-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/312 |