Abstrakti
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new re-optimization procedures are triggered when obtaining new information that indicates the current schedule to be outdated.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.
Alkuperäiskieli | englanti |
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Otsikko | Computer Aided Chemical Engineering |
Toimittajat | Yoshiyuki Yamashita, Manabu Kano |
Sivumäärä | 6 |
Kustantaja | Elsevier |
Julkaisupäivä | tammik. 2022 |
Sivut | 1255-1260 |
ISBN (elektroninen) | 9780323851596 |
DOI - pysyväislinkit | |
Tila | Julkaistu - tammik. 2022 |
OKM-julkaisutyyppi | A3 Kirjan tai muun kokoomateoksen osa |
Julkaisusarja
Nimi | Computer Aided Chemical Engineering |
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Vuosikerta | 49 |
ISSN (painettu) | 1570-7946 |
Lisätietoja
Publisher Copyright:© 2022 Elsevier B.V.
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