A Novel Back-Off Algorithm for the Integration Between Dynamic Optimization and Scheduling of Batch Processes Under Uncertainty
Loading...
Date
2019-12-04
Authors
Valdez Navarro, Yael Izamal
Advisor
Ricardez-Sandoval, Luis
Journal Title
Journal ISSN
Volume Title
Publisher
University of Waterloo
Abstract
This thesis presents a decomposition algorithm for obtaining robust scheduling and control decisions. It iteratively solves scheduling and dynamic optimization problems while approximating stochastic uncertainty through back-off terms, calculated through dynamic simulations of the process. This algorithm is compared, both in solution quality and performance, against a fully-integrated MINLP.
Description
Keywords
optimization, scheduling, control, uncertainty
LC Subject Headings
Combinatorial optimization