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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
Article, Bibliographie

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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.

Item Type: Article
Erschienen: 2017
Creators: 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
Type of entry: Bibliographie
Title: GasLib - A Library of Gas Network Instances
Language: English
Date: 2017
Place of Publication: Basel
Publisher: MDPI
Journal or Publication Title: Data
Volume of the journal: 2
Issue Number: 4
Collation: 18 Seiten
DOI: 10.3390/data2040040
Corresponding Links:
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.

Uncontrolled Keywords: gas transport, networks, problem instances, mixed-integer nonlinear optimization, GasLib
Additional Information:

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

Classification DDC: 000 Generalities, computers, information > 004 Computer science
500 Science and mathematics > 510 Mathematics
Divisions: 04 Department of Mathematics
04 Department of Mathematics > Optimization
Date Deposited: 15 May 2024 14:39
Last Modified: 15 May 2024 14:39
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