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GasLib—A Library of Gas Network Instances
- Source :
- Data, Vol 2, Iss 4, p 40 (2017)
- Publication Year :
- 2017
- Publisher :
- MDPI AG, 2017.
-
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.
- Subjects :
- Information Systems and Management
Computer science
computer.internet_protocol
020209 energy
Technische Fakultät
gas transport
mixed-integer nonlinear optimization
02 engineering and technology
computer.software_genre
lcsh:Z
Field (computer science)
lcsh:Bibliography. Library science. Information resources
Computer Science Applications
Set (abstract data type)
problem instances
Development (topology)
networks
0202 electrical engineering, electronic engineering, information engineering
Data mining
ddc:600
computer
GasLib
XML
Information Systems
Mathematical simulation
Subjects
Details
- ISSN :
- 23065729
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Data
- Accession number :
- edsair.doi.dedup.....239724d0445055b07476d36cad7fc5f6
- Full Text :
- https://doi.org/10.3390/data2040040