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Universität Siegen

Lehrstuhl für Betriebswirtschaftslehre insb. Technologiemanagement

Prof. Dr. Ulf Lorenz

Unteres Schloß 3
Universität Siegen
57072 Siegen

© Universitätsbibliothek Siegen



M. Hartisch. Quantified Integer Programming with Polyhedral and Decision-Dependent Uncertainty. PhD thesis, University of Siegen, Germany, https://doi.org/10.25819/ubsi/4841, 2020.

J.B. Weber, M. Hartisch, A.D. Herbst and U. Lorenz. Towards an Algorithmic Synthesis of Thermofluid Systems. To appear in: Optimization and Engineering Journal: Special Issue on Technial Operations Research, 2020.


M. Hartisch and U. Lorenz: Mastering Uncertainty: Towords Robus Multistage Optimization with Decision Dependent Uncertainty. In 16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019, pages 446-458, Springer International Publishing, Cham, 2019.

M. Hartisch and U. Lorenz: Game tree search in a robust multistage optimization framework: Exploiting pruning mechanisms. arXiv preprint arXiv: 1811.12146;To appear in: 16th International Conference on Advances in Computer Games, ACG 2019.

M. Hartisch and U. Lorenz: Robust Multistage Optimization with Decision-Dependent Uncertainty. To appear in: Operations Research Proceedings 2019.

C. Reintjes, M. Hartisch and U. Lorenz : Support-Free Lattice Structures for Extrusion-Based Additive Manufacturing Processes via Mixed-Integer Programming. To appear in: Operations Research Proceedings 2019.

C. Reintjes, M. Hartisch and U. Lorenz: Design and Optimization for Additive Manufacturing of Cellular Structures using Linear Optimization. In Operations Research Proceedings 2018, pages 371-377, 2019.


M. Hartisch, A. Herbst, U. Lorenz and J.B. Weber: Towards Resilient Process Networks - Designing Booster Stations via Quantified Programming. In Applied Mechanics and Materials, volume 885, pages 199-210, Trans Tech Publications Ltd, 2018.


M. Hartisch, C. Reintjes and U. Lorenz: Lattice Structure Design with Linear Optimization for Additive Manufacturing as an Initial Design in the Field of Generative Design In Operations Research Proceedings 2017, pages 451-457, 2018.

T. Ederer, M. Hartisch, U. Lorenz, T. Opfer and J. Wolf: Yasol: An Open Source Solver for Quantified Mixed Interger Programs. In 15th International Conference in Advances in Computer Games, ACG 2017, pages 224-233, 2017.


M.Hartisch, T. Ederer, U. Lorenz and J. Wolf: Quantified Integer Programs with Polyhedral Uncertainty Set. In 9th International Conference on Computers and Games, CG 2016, pages 156-166, 2016.


M. Hartisch and I. Althöfer. Optimal Robot Play in Certain Chess Endgame Situations. J. Int. Comput. Games Assoc., 38(3):180-185, 2015.

M. Hartisch. Impact of Rounding during Retrograde Analysis for a Game with Chance Nodes: Karl´s Race as a Test CaseJ. Int. Comput. Games Assoc., 38(2):81-93, 2015.

I. Althöfer and M. Hartisch. The Effect of Biasing Win Conditions. Game & Puzzle Design, Vol. 1, No. 1, 2015.