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
This is the latest version of this item.
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 |
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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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GasLib - A Library of Gas Network Instances. (deposited 16 Jan 2024 10:13)
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