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GasLib - A Library of Gas Network Instances

Schmidt, Martin ; Aßmann, Denis ; Burlacu, Robert ; Humpola, Jesco ; Joormann, Imke ; Kanelakis, Nikolaos ; Koch, Thorsten ; Oucherif, Djamal ; Pfetsch, Marc E. ; Schewe, Lars ; Schwarz, Robert ; Sirvent, Mathias (2017)
GasLib - A Library of Gas Network Instances.
In: Data, 2 (4)
doi: 10.3390/data2040040
Artikel, Bibliographie

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Kurzbeschreibung (Abstract)

The development of mathematical simulation and optimization models and algorithms for solving gas transport problems is an active field of research. In order to test and compare these models and algorithms, gas network instances together with demand data are needed. The goal of GasLib is to provide a set of publicly available gas network instances that can be used by researchers in the field of gas transport. The advantages are that researchers save time by using these instances and that different models and algorithms can be compared on the same specified test sets. The library instances are encoded in an XML (extensible markup language) format. In this paper, we explain this format and present the instances that are available in the library.

Typ des Eintrags: Artikel
Erschienen: 2017
Autor(en): Schmidt, Martin ; Aßmann, Denis ; Burlacu, Robert ; Humpola, Jesco ; Joormann, Imke ; Kanelakis, Nikolaos ; Koch, Thorsten ; Oucherif, Djamal ; Pfetsch, Marc E. ; Schewe, Lars ; Schwarz, Robert ; Sirvent, Mathias
Art des Eintrags: Bibliographie
Titel: GasLib - A Library of Gas Network Instances
Sprache: Englisch
Publikationsjahr: 2017
Ort: Basel
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Data
Jahrgang/Volume einer Zeitschrift: 2
(Heft-)Nummer: 4
Kollation: 18 Seiten
DOI: 10.3390/data2040040
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Kurzbeschreibung (Abstract):

The development of mathematical simulation and optimization models and algorithms for solving gas transport problems is an active field of research. In order to test and compare these models and algorithms, gas network instances together with demand data are needed. The goal of GasLib is to provide a set of publicly available gas network instances that can be used by researchers in the field of gas transport. The advantages are that researchers save time by using these instances and that different models and algorithms can be compared on the same specified test sets. The library instances are encoded in an XML (extensible markup language) format. In this paper, we explain this format and present the instances that are available in the library.

Freie Schlagworte: gas transport, networks, problem instances, mixed-integer nonlinear optimization, GasLib
Zusätzliche Informationen:

Erstveröffentlichung; Data Set License: CC BY 3.0 Unported (Supplement) MSC: 90-08; 90C90; 90B10

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
500 Naturwissenschaften und Mathematik > 510 Mathematik
Fachbereich(e)/-gebiet(e): 04 Fachbereich Mathematik
04 Fachbereich Mathematik > Optimierung
Hinterlegungsdatum: 15 Mai 2024 14:39
Letzte Änderung: 15 Mai 2024 14:39
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