Many combinatorial optimization problems can be solved efficiently on specially structured graphs by using algorithms based on decompositions of these graphs. Some decomposition approaches (e.g. branchwidth) can be generalized to hypergraphs, matroids, and symmetric submodular functions. We want to transfer these results to problems arising in rolling stock rostering where additional side constraints have to be taken into account.

Publications

2015
The S-Bahn Challenge in Berlin OR News, pp. 10-14, 2015 (preprint available as ) Isabel Beckenbach, Ralf Borndörfer, Loes Knoben, David Kretz, Marc J. Uetz BibTeX
Decomposition methods for discrete optimization problems
2014
An Approximation Result for Matchings in Partitioned Hypergraphs ZIB-Report 14-30 (Appeared in: Operations Research Proceedings 2014 (2016) pp. 31-36.) Isabel Beckenbach, Ralf Borndörfer PDF
BibTeX
URN
DOI
Decomposition methods for discrete optimization problems