Design of an Event-Driven Rescheduling Algorithm via Surrogate-based Optimization

Teemu Ikonen*, Keijo Heljanko, Iiro Harjunkoski

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review


In event-driven rescheduling, new re-optimization procedures are triggered when obtaining new information that indicates the current schedule to be outdated. Critical design aspects of such an algorithm are the definition of the trigger event and the allocated computing time for a new rescheduling procedure. We treat both of these design aspects as continuous control parameters. Nevertheless, finding the best-suited control parameter combination for a given operating environment may be computationally expensive, as it requires simulating the process with many candidate combinations. We use surrogate-based optimization to reduce the computing cost of optimizing the control parameters. We demonstrate the method on real-time rebalancing of a bike sharing system and investigate the sensitivity of the optimized parameters to changes in the operating environment.
Original languageEnglish
Title of host publication14th International Symposium on Process Systems Engineering
EditorsYoshiyuki Yamashita, Manabu Kano
ISBN (Print)978-0-323-85159-6
Publication statusPublished - Jan 2022
MoE publication typeA3 Book section, Chapters in research books
EventInternational Symposium on Process Systems Engineering - Kyoto, Japan
Duration: 19 Jun 202223 Jun 2022
Conference number: 14

Publication series

NameComputer Aided Chemical Engineering
ISSN (Print)1570-7946


ConferenceInternational Symposium on Process Systems Engineering
Abbreviated titlePSE


  • optimization
  • event-driven rescheduling
  • surrogate modeling
  • logistics
  • bike sharing rebalancing


Dive into the research topics of 'Design of an Event-Driven Rescheduling Algorithm via Surrogate-based Optimization'. Together they form a unique fingerprint.

Cite this