@incollection{AltherrEdererLorenzetal.2016,
  author    = {Altherr, Lena and Ederer, Thorsten and Lorenz, Ulf and Pelz, Peter F. and P{\"o}ttgen, Philipp},
  title     = {Designing a feedback control system via mixed-integer programming},
  series = {Operations Research Proceedings 2014: Selected Papers of the Annual International Conference of the German Operations Research},
  booktitle = {Operations Research Proceedings 2014: Selected Papers of the Annual International Conference of the German Operations Research},
  editor    = {L{\"u}bbecke, Marco E. and Koster, Arie and Letmathe, Peter and Madlener, Reihard and Preis, Britta and Walther, Grit},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-28695-2},
  doi       = {10.1007/978-3-319-28697-6_18},
  pages     = {121 -- 127},
  year      = {2016},
  abstract  = {Pure analytical or experimental methods can only find a control strategy for technical systems with a fixed setup. In former contributions we presented an approach that simultaneously finds the optimal topology and the optimal open-loop control of a system via Mixed Integer Linear Programming (MILP). In order to extend this approach by a closed-loop control we present a Mixed Integer Program for a time discretized tank level control. This model is the basis for an extension by combinatorial decisions and thus for the variation of the network topology. Furthermore, one is able to appraise feasible solutions using the global optimality gap.},
  language  = {en}
}
@inproceedings{RauschLeiseEdereretal.2016,
  author    = {Rausch, Lea and Leise, Philipp and Ederer, Thorsten and Altherr, Lena and Pelz, Peter F.},
  title     = {A comparison of MILP and MINLP solver performance on the example of a drinking water supply system design problem},
  series = {ECCOMAS Congress 2016 VII European Congress on Computational Methods in Applied Sciences and Engineering},
  booktitle = {ECCOMAS Congress 2016 VII European Congress on Computational Methods in Applied Sciences and Engineering},
  editor    = {Papadrakakis, M. and Ppadopoulos, V. and Stefanou, G. and Plevris, V.},
  isbn      = {978-618-82844-0-1},
  pages     = {8509 -- 8527},
  year      = {2016},
  abstract  = {Finding a good system topology with more than a handful of components is a highly non-trivial task. The system needs to be able to fulfil all expected load cases, but at the same time the components should interact in an energy-efficient way. An example for a system design problem is the layout of the drinking water supply of a residential building. It may be reasonable to choose a design of spatially distributed pumps which are connected by pipes in at least two dimensions. This leads to a large variety of possible system topologies. To solve such problems in a reasonable time frame, the nonlinear technical characteristics must be modelled as simple as possible, while still achieving a sufficiently good representation of reality. The aim of this paper is to compare the speed and reliability of a selection of leading mathematical programming solvers on a set of varying model formulations. This gives us empirical evidence on what combinations of model formulations and solver packages are the means of choice with the current state of the art.},
  language  = {en}
}
@article{VergePoettgenAltherretal.2016,
  author    = {Verg{\´e}, Angela and P{\"o}ttgen, Philipp and Altherr, Lena and Ederer, Thorsten and Pelz, Peter F.},
  title     = {Lebensdauer als Optimierungsziel: Algorithmische Struktursynthese am Beispiel eines hydrostatischen Getriebes},
  series = {O+P - {\"O}lhydraulik und Pneumatik},
  volume    = {60},
  journal   = {O+P - {\"O}lhydraulik und Pneumatik},
  number    = {1-2},
  editor    = {Greuloch, Ivo and Weber, Manfred and Meier, Miles},
  publisher = {Vereinigte Fachverl.},
  address   = {Mainz},
  issn      = {1614-9602},
  pages     = {114 -- 121},
  year      = {2016},
  abstract  = {Verf{\"u}gbarkeit und Nachhaltigkeit sind wichtige Anforderungen bei der Planung langlebiger technischer Systeme. Meist werden bei Lebensdaueroptimierungen lediglich einzelne Komponenten vordefinierter Systeme untersucht. Ob eine optimale Lebensdauer eine g{\"a}nzlich andere Systemvariante bedingt, wird nur selten hinterfragt. Technical Operations Research (TOR) erlaubt es, aus Obermengen technischer Systeme automatisiert die lebensdaueroptimale Systemstruktur auszuw{\"a}hlen. Der Artikel zeigt dies am Beispiel eines hydrostatischen Getriebes.},
  language  = {de}
}