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Many-objective process optimisation with constraints for continuous tableting lines : a case study in lovastatin
- Source :
- CMAC Annual Open Day 2022
- Publication Year :
- 2022
-
Abstract
- Background: Digital design, assisted by data science, experienced significant progress over recent years within the continuous manufacturing in the pharmaceutical sector. Research Objective: The project focuses the fundamental research on robust numerical and visual performance indicators for assessing performance for many-objective optimisation algorithms under multiple constraints Methods: A surrogate model-based machine learning algorithm is used, to train data-driven models that capture the manufacturing process behaviour. Then use optimisation algorithms to get optimal solutions. Results: >75% dissolution release could be achieved in 45 minutes.
- Subjects :
- RM
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- CMAC Annual Open Day 2022
- Accession number :
- edsair.doi.dedup.....216f0b45beb63be7cd99d6c331b4f635