The integration of scheduling and control leads to large scale optimization problems whose monolithic solution is challenging. In this paper we propose an adaptive muti-cut algorithm to solve the integrated optimization problem to global optimality in reduced time. The reduction of the CPU time is achieved via the addition of multiple cuts and the adaptive addition/removal of cuts based on the executed schedule. We apply the proposed approach to a continuous system and analyze its computational performance.
|Original language||English (US)|
|Title of host publication||Computer Aided Chemical Engineering|
|Number of pages||6|
|State||Published - Jan 2022|
|Name||Computer Aided Chemical Engineering|
Bibliographical notePublisher Copyright:
© 2022 Elsevier B.V.