Surrogate-based Optimization for Pharmaceutical Manufacturing Processes

Zilong Wang, M. Sebastian Escotet-Espinoza, Ravendra Singh, Marianthi Ierapetritou

Research output: Chapter in Book/Report/Conference proceedingChapter

9 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Pages2797-2802
Number of pages6
DOIs
StatePublished - Oct 2017

Publication series

NameComputer Aided Chemical Engineering
Volume40
ISSN (Print)1570-7946

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications

Keywords

  • Surrogate
  • black-box
  • feasibility
  • optimization
  • pharmaceutical

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