Decision-making of online rescheduling procedures using neuroevolution of augmenting topologies

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

Kuvaus

Online scheduling requires appropriate timing of rescheduling procedures, as well as the determination of relevant horizon length. Optimal choices of these quantities are highly dependent on the uncertainty of the scheduling environment and may vary over time. We propose an approach where a neural network is trained to make online decisions on these quantities, as well as on the choice of the rescheduling method (mathematical programming or metaheuristics). In our approach, the neural network is trained using neuroevolution of augmenting topologies (NEAT) in a simulated environment. In this paper, we also optimize the rescheduling interval and horizon length of a conventional periodically occurring rescheduling on a dynamic routing problem. The resulting approach is the baseline for the development of the proposed neural network approach.

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoProceedings of the 29th European Symposium on Computer Aided Chemical Engineering
ToimittajatAnton Kiss, Edwin Zondervan, Richard Lakerveld, Leyla Özkan
TilaJulkaistu - 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaEuropean Symposium on Computer-Aided Process Engineering - Eindhoven, Alankomaat
Kesto: 16 kesäkuuta 201919 kesäkuuta 2019
Konferenssinumero: 29
https://escape29.nl/

Conference

ConferenceEuropean Symposium on Computer-Aided Process Engineering
LyhennettäESCAPE
MaaAlankomaat
KaupunkiEindhoven
Ajanjakso16/06/201919/06/2019
www-osoite

ID: 32579188