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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Decision-making of online rescheduling procedures using neuroevolution of augmenting topologies. / Ikonen, Teemu; Harjunkoski, Iiro.

Proceedings of the 29th European Symposium on Computer Aided Chemical Engineering. ed. / Anton Kiss; Edwin Zondervan; Richard Lakerveld; Leyla Özkan. Vol. 46 Elsevier, 2019. p. 1177-1182 (Computer-aided chemical engineering; Vol. 46).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Ikonen, T & Harjunkoski, I 2019, Decision-making of online rescheduling procedures using neuroevolution of augmenting topologies. in A Kiss, E Zondervan, R Lakerveld & L Özkan (eds), Proceedings of the 29th European Symposium on Computer Aided Chemical Engineering. vol. 46, Computer-aided chemical engineering, vol. 46, Elsevier, pp. 1177-1182, European Symposium on Computer-Aided Process Engineering, Eindhoven, Netherlands, 16/06/2019. https://doi.org/10.1016/B978-0-12-818634-3.50197-1

APA

Ikonen, T., & Harjunkoski, I. (2019). Decision-making of online rescheduling procedures using neuroevolution of augmenting topologies. In A. Kiss, E. Zondervan, R. Lakerveld, & L. Özkan (Eds.), Proceedings of the 29th European Symposium on Computer Aided Chemical Engineering (Vol. 46, pp. 1177-1182). (Computer-aided chemical engineering; Vol. 46). Elsevier. https://doi.org/10.1016/B978-0-12-818634-3.50197-1

Vancouver

Ikonen T, Harjunkoski I. Decision-making of online rescheduling procedures using neuroevolution of augmenting topologies. In Kiss A, Zondervan E, Lakerveld R, Özkan L, editors, Proceedings of the 29th European Symposium on Computer Aided Chemical Engineering. Vol. 46. Elsevier. 2019. p. 1177-1182. (Computer-aided chemical engineering). https://doi.org/10.1016/B978-0-12-818634-3.50197-1

Author

Ikonen, Teemu ; Harjunkoski, Iiro. / Decision-making of online rescheduling procedures using neuroevolution of augmenting topologies. Proceedings of the 29th European Symposium on Computer Aided Chemical Engineering. editor / Anton Kiss ; Edwin Zondervan ; Richard Lakerveld ; Leyla Özkan. Vol. 46 Elsevier, 2019. pp. 1177-1182 (Computer-aided chemical engineering).

Bibtex - Download

@inproceedings{1fac9cbbde704d3baaee1140d8a0aa91,
title = "Decision-making of online rescheduling procedures using neuroevolution of augmenting topologies",
abstract = "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.",
keywords = "online scheduling, horizon length, scheduling interval, neural network, NEAT",
author = "Teemu Ikonen and Iiro Harjunkoski",
note = "HUOM! T{\"A}M{\"A}n MANUSKAn EMBARGO ON YLIPITK{\"A} KUNNES ARTIKKELI ON JULKAISTU JA JULKAISUVIIVE M{\"A}{\"A}RITELTY KUSTANTAJAN JULKAISUP{\"A}IV{\"A}ST{\"A} ALKAEN. The manuscript's embargo is very long until the article has been published and the embargo date can be defined. HUOM 2: Varmista, ett{\"a} julkaisun nimi pysyy samana: 29th European Symposium on Computer Aided Chemical [EI PROCESS KUTEN NYT JULKAISUN KUVAUKSESSA] Engineering",
year = "2019",
doi = "10.1016/B978-0-12-818634-3.50197-1",
language = "English",
isbn = "9780128186343",
volume = "46",
series = "Computer-aided chemical engineering",
publisher = "Elsevier",
pages = "1177--1182",
editor = "Kiss, {Anton } and Zondervan, {Edwin } and Lakerveld, {Richard } and {\"O}zkan, {Leyla }",
booktitle = "Proceedings of the 29th European Symposium on Computer Aided Chemical Engineering",
address = "Netherlands",

}

RIS - Download

TY - GEN

T1 - Decision-making of online rescheduling procedures using neuroevolution of augmenting topologies

AU - Ikonen, Teemu

AU - Harjunkoski, Iiro

N1 - HUOM! TÄMÄn MANUSKAn EMBARGO ON YLIPITKÄ KUNNES ARTIKKELI ON JULKAISTU JA JULKAISUVIIVE MÄÄRITELTY KUSTANTAJAN JULKAISUPÄIVÄSTÄ ALKAEN. The manuscript's embargo is very long until the article has been published and the embargo date can be defined. HUOM 2: Varmista, että julkaisun nimi pysyy samana: 29th European Symposium on Computer Aided Chemical [EI PROCESS KUTEN NYT JULKAISUN KUVAUKSESSA] Engineering

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - online scheduling

KW - horizon length

KW - scheduling interval

KW - neural network

KW - NEAT

U2 - 10.1016/B978-0-12-818634-3.50197-1

DO - 10.1016/B978-0-12-818634-3.50197-1

M3 - Conference contribution

SN - 9780128186343

VL - 46

T3 - Computer-aided chemical engineering

SP - 1177

EP - 1182

BT - Proceedings of the 29th European Symposium on Computer Aided Chemical Engineering

A2 - Kiss, Anton

A2 - Zondervan, Edwin

A2 - Lakerveld, Richard

A2 - Özkan, Leyla

PB - Elsevier

ER -

ID: 32579188