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How the difference in travel times affects the optima localization for the routing open shop. / Chernykh, Ilya; Lgotina, Ekaterina.

Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings. ред. / Michael Khachay; Panos Pardalos; Yury Kochetov. Springer-Verlag GmbH and Co. KG, 2019. стр. 187-201 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11548 LNCS).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Chernykh, I & Lgotina, E 2019, How the difference in travel times affects the optima localization for the routing open shop. в M Khachay, P Pardalos & Y Kochetov (ред.), Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 11548 LNCS, Springer-Verlag GmbH and Co. KG, стр. 187-201, 18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019, Ekaterinburg, Российская Федерация, 08.07.2019. https://doi.org/10.1007/978-3-030-22629-9_14

APA

Chernykh, I., & Lgotina, E. (2019). How the difference in travel times affects the optima localization for the routing open shop. в M. Khachay, P. Pardalos, & Y. Kochetov (Ред.), Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings (стр. 187-201). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11548 LNCS). Springer-Verlag GmbH and Co. KG. https://doi.org/10.1007/978-3-030-22629-9_14

Vancouver

Chernykh I, Lgotina E. How the difference in travel times affects the optima localization for the routing open shop. в Khachay M, Pardalos P, Kochetov Y, Редакторы, Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings. Springer-Verlag GmbH and Co. KG. 2019. стр. 187-201. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-22629-9_14

Author

Chernykh, Ilya ; Lgotina, Ekaterina. / How the difference in travel times affects the optima localization for the routing open shop. Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings. Редактор / Michael Khachay ; Panos Pardalos ; Yury Kochetov. Springer-Verlag GmbH and Co. KG, 2019. стр. 187-201 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{28b91451601040e789035d06707dfba4,
title = "How the difference in travel times affects the optima localization for the routing open shop",
abstract = "The routing open shop problem, being a generalization of the metric TSP and the open shop scheduling problem, is known to be NP-hard even in case of two machines with a transportation network consisting of two nodes only. We consider a generalization of this problem with unrelated travel times of each machine. We determine a tight optima localization interval for the two-machine problem in the case when the transportation network consists of at most three nodes. As a byproduct of our research, we present a linear time 5/4 -approximation algorithm for the same problem. We prove that the algorithm has the best theoretically possible approximation ratio with respect to the standard lower bound.",
keywords = "Approximation algorithm, Optima localization, Routing open shop, Scheduling, Unrelated travel times",
author = "Ilya Chernykh and Ekaterina Lgotina",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-22629-9_14",
language = "English",
isbn = "9783030226282",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag GmbH and Co. KG",
pages = "187--201",
editor = "Michael Khachay and Panos Pardalos and Yury Kochetov",
booktitle = "Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings",
address = "Germany",
note = "18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019 ; Conference date: 08-07-2019 Through 12-07-2019",

}

RIS

TY - GEN

T1 - How the difference in travel times affects the optima localization for the routing open shop

AU - Chernykh, Ilya

AU - Lgotina, Ekaterina

PY - 2019/1/1

Y1 - 2019/1/1

N2 - The routing open shop problem, being a generalization of the metric TSP and the open shop scheduling problem, is known to be NP-hard even in case of two machines with a transportation network consisting of two nodes only. We consider a generalization of this problem with unrelated travel times of each machine. We determine a tight optima localization interval for the two-machine problem in the case when the transportation network consists of at most three nodes. As a byproduct of our research, we present a linear time 5/4 -approximation algorithm for the same problem. We prove that the algorithm has the best theoretically possible approximation ratio with respect to the standard lower bound.

AB - The routing open shop problem, being a generalization of the metric TSP and the open shop scheduling problem, is known to be NP-hard even in case of two machines with a transportation network consisting of two nodes only. We consider a generalization of this problem with unrelated travel times of each machine. We determine a tight optima localization interval for the two-machine problem in the case when the transportation network consists of at most three nodes. As a byproduct of our research, we present a linear time 5/4 -approximation algorithm for the same problem. We prove that the algorithm has the best theoretically possible approximation ratio with respect to the standard lower bound.

KW - Approximation algorithm

KW - Optima localization

KW - Routing open shop

KW - Scheduling

KW - Unrelated travel times

UR - http://www.scopus.com/inward/record.url?scp=85067669280&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-22629-9_14

DO - 10.1007/978-3-030-22629-9_14

M3 - Conference contribution

AN - SCOPUS:85067669280

SN - 9783030226282

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 187

EP - 201

BT - Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings

A2 - Khachay, Michael

A2 - Pardalos, Panos

A2 - Kochetov, Yury

PB - Springer-Verlag GmbH and Co. KG

T2 - 18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019

Y2 - 8 July 2019 through 12 July 2019

ER -

ID: 20643595