Optimization Online


GasLib - A Library of Gas Network Instances

Martin Schmidt (mar.schmidt***at***fau.de)
Denis A▀mann (denis.assmann***at***fau.de)
Robert Burlacu (robert.burlacu***at***fau.de)
Jesco Humpola (humpola***at***zib.de)
Imke Joormann (joormann***at***mathematik.tu-darmstadt.de)
Nikolaos Kanelakis (nkanelak***at***auth.gr)
Thorsten Koch (koch***at***zib.de)
Djamal Oucherif (oucherif***at***ifam.uni-hannover.de)
Marc E. Pfetsch (pfetsch***at***mathematik.tu-darmstadt.de)
Lars Schewe (lars.schewe***at***fau.de)
Robert Schwarz (schwarz***at***zib.de)
Mathias Sirvent (mathias.sirvent***at***fau.de)

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 format. In this paper, we explain this format and present the instances that are available in the library.

Keywords: Gas Transport, Networks, Problem Instances, Mixed-Integer Nonlinear Optimization, GasLib

Category 1: Applications -- Science and Engineering

Category 2: Integer Programming ((Mixed) Integer Nonlinear Programming )


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Entry Submitted: 11/25/2015
Entry Accepted: 11/25/2015
Entry Last Modified: 11/18/2017

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