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

Teemu J. Ikonen, Keijo Heljanko, Iiro Harjunkoski

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Sammanfattning

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new re-optimization procedures are triggered when obtaining new information that indicates the current schedule to be outdated.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.

Originalspråkengelska
Titel på värdpublikationComputer Aided Chemical Engineering
RedaktörerYoshiyuki Yamashita, Manabu Kano
Antal sidor6
FörlagElsevier
Utgivningsdatumjan. 2022
Sidor1255-1260
ISBN (elektroniskt)9780323851596
DOI
StatusPublicerad - jan. 2022
MoE-publikationstypA3 Del av bok eller annan forskningsbok

Publikationsserier

NamnComputer Aided Chemical Engineering
Volym49
ISSN (tryckt)1570-7946

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© 2022 Elsevier B.V.

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