| MIPLIB 2010: mixed integer programming library version 5 T Koch, T Achterberg, E Andersen, O Bastert, T Berthold, RE Bixby, ... Mathematical Programming Computation 3, 103-163, 2011 | 503 | 2011 |
| The SCIP Optimization Suite 5.0 A Gleixner, L Eifler, T Gally, G Gamrath, P Gemander, RL Gottwald, ... | 372 | 2017 |
| The SCIP optimization suite 7.0 G Gamrath, D Anderson, K Bestuzheva, WK Chen, L Eifler, M Gasse, ... | 229 | 2020 |
| SCIP: Global optimization of mixed-integer nonlinear programs in a branch-and-cut framework S Vigerske, A Gleixner Optimization Methods and Software 33 (3), 563-593, 2018 | 225 | 2018 |
| LP-based disaggregation approaches to solving the open pit mining production scheduling problem with block processing selectivity N Boland, I Dumitrescu, G Froyland, AM Gleixner Computers & Operations Research 36 (4), 1064-1089, 2009 | 223 | 2009 |
| The SCIP Optimization Suite 3.2 G Gamrath, T Fischer, T Gally, AM Gleixner, G Hendel, T Koch, SJ Maher, ... ZIB Report, 15-60, 2016 | 139 | 2016 |
| MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library A Gleixner, G Hendel, G Gamrath, T Achterberg, M Bastubbe, T Berthold, ... Mathematical Programming Computation 13 (3), 443-490, 2021 | 135 | 2021 |
| The SCIP Optimization Suite 4.0 SJ Maher, T Fischer, T Gally, G Gamrath, A Gleixner, RL Gottwald, ... | 116 | 2017 |
| Three Enhancements for Optimization-Based Bound Tightening AM Gleixner, T Berthold, B Müller, S Weltge Journal of Global Optimization 67 (4), 731-757, 2017 | 89 | 2017 |
| The SCIP optimization suite 8.0 K Bestuzheva, M Besançon, WK Chen, A Chmiela, T Donkiewicz, ... arXiv preprint arXiv:2112.08872, 2021 | 86 | 2021 |
| QPLIB: a library of quadratic programming instances F Furini, E Traversi, P Belotti, A Frangioni, A Gleixner, N Gould, L Liberti, ... Mathematical Programming Computation 11, 237-265, 2019 | 86 | 2019 |
| Towards globally optimal operation of water supply networks AM Gleixner, H Held, W Huang, S Vigerske Numerical Algebra, Control and Optimization 2 (4), 695-711, 2012 | 76 | 2012 |
| Iterative Refinement for Linear Programming AM Gleixner, DE Steffy, K Wolter INFORMS Journal on Computing 28 (3), 449-464, 2016 | 73 | 2016 |
| Undercover: a primal MINLP heuristic exploring a largest sub-MIP T Berthold, AM Gleixner Mathematical Programming A 144 (1-2), 315-346, 2014 | 62 | 2014 |
| Improving the accuracy of linear programming solvers with iterative refinement AM Gleixner, DE Steffy, K Wolter ISSAC 2012. Proceedings of the 37th International Symposium on Symbolic and …, 2012 | 54 | 2012 |
| Solving mixed integer linear and nonlinear problems using the SCIP Optimization Suite T Berthold, G Gamrath, AM Gleixner, S Heinz, T Koch, Y Shinano | 42 | 2012 |
| Solving large-scale open pit mining production scheduling problems by integer programming AM Gleixner Master's thesis, Technische Universität Berlin, 2008 | 35 | 2008 |
| Analyzing the computational impact of MIQCP solver components T Berthold, AM Gleixner, S Heinz, S Vigerske Numerical Algebra, Control and Optimization 2 (4), 739-748, 2012 | 32* | 2012 |
| Comparing MIQCP solvers to a specialised algorithm for mine production scheduling A Bley, AM Gleixner, T Koch, S Vigerske Modeling, Simulation and Optimization of Complex Processes: Proceedings of …, 2012 | 30 | 2012 |
| Learning to schedule heuristics in branch and bound A Chmiela, E Khalil, A Gleixner, A Lodi, S Pokutta Advances in Neural Information Processing Systems 34, 24235-24246, 2021 | 27 | 2021 |
Thorsten KochTU Berlin / Zuse Institute BerlinBestätigte E-Mail-Adresse bei zib.de
