Surrogate-based Optimization for Pharmaceutical Manufacturing Processes
Category
Published on CMKC
Abstract
The development of pharmaceutical manufacturing processes has been facilitated by recent advances in the process simulation area. However, since the simulations are usually complex and the analytical expressions of the model can be unknown, it is difficult to directly apply traditional optimization techniques in such cases. Therefore, we propose a novel surrogate-based optimization approach to address such difficulties. Our algorithm is suitable to solve black-box constrained optimization problems. The effectiveness of this method is illustrated with several two-dimensional benchmark problems and a case study from the pharmaceutical manufacturing process.
Journal
Computer Aided Chemical Engineering. Volume 40, 2017, 2797-2802
DOI
10.1016/B978-0-444-63965-3.50468-2
Type of publication
Peer-reviewed journal
Affiliations
- Rutgers, The State University of New Jersey
Article Classification
Research article
Classification Areas
- Oral doses
- Modeling