Research Campus MODAL SynLab ongoing

SynLab researches mathematical generalization of application-specific advances achieved in the Gas-, Rail– and MedLab of the research campus MODAL. The focus is on exact methods for solving a broad class of discrete-continuous optimization problems. This requires advanced techniques for structure recognition, consideration of nonlinear restrictions from practice, and the efficient implementation of mathematical algorithms on modern computer architectures. The results are bundled in a professional software package and complemented by a range of high-performance methods for specific applications with a high degree of innovation.

SynLab
Apr 2020 to Mar 2025
13
52

🧑‍🎓 Project Members (excluding external)

Ksenia Bestuzheva
Principal Investigator
bestuzheva (at) zib.de
Alexander Hoen
hoen (at) zib.de
Christophe Roux
roux (at) zib.de
Felix Prause
prause (at) zib.de
Gioni Mexi
mexi (at) zib.de
Gábor Braun
braun (at) zib.de
JoĂŁo DionĂ­sio
dionisio (at) zib.de
Lara Glessen
glessen (at) zib.de
Leon Eifler
eifler (at) zib.de
Mathieu Besançon
besancon (at) zib.de
Max Zimmer
zimmer (at) zib.de
Suresh Bolusani
bolusani (at) zib.de
Xu Liding
liding.xu (at) zib.de

🪙 Funding

This project is being funded by the Federal Ministry of Education and Research from April 2020 to March 2025.

đź’¬ Talks and posters

Poster presentations

May 2022
Monoidal Strengthening for Intersection Cuts Using Maximal Quadratic-Free Sets by Antonia Chmiela
MIP Workshop
Dec 2021
Learning to Schedule Heuristics in Branch-and-Bound by Antonia Chmiela
NeurIPS Conference

<đź“ť Publications and preprints

  1. Carderera, A., Besançon, M., and Pokutta, S. (2024). Scalable Frank-Wolfe on Generalized Self-concordant Functions Via Simple Steps. SIAM Journal on Optimization, 34(3), 2231–2258. DOI: 10.1137/23M1616789 [arXiv] [summary] [slides] [poster] [code]
    [BibTeX]
    @article{2024_CardereraBesanconPokutta_Scalablefrankwolfe,
  year = {2024},
  journal = {SIAM Journal on Optimization},
  month = sep,
  volume = {34},
  number = {3},
  pages = {2231-2258},
  doi = {10.1137/23M1616789},
  archiveprefix = {arXiv},
  eprint = {2105.13913},
  primaryclass = {math.OC},
  author = {Carderera, Alejandro and Besançon, Mathieu and Pokutta, Sebastian},
  title = {Scalable Frank-Wolfe on Generalized Self-concordant Functions Via Simple Steps},
  code = {https://doi.org/10.5281/zenodo.4836009},
  poster = {https://pokutta.com/slides/20211120_poster_NeurIPS21_lSimple_steps_are_all_you_need.pdf},
  slides = {https://pokutta.com/slides/20210710_FW-simpleSteps-SelfConcordance.pdf},
  summary = {https://pokutta.com/blog/research/2021/10/09/self-concordant-abstract.html}
}
  2. Bolusani, S., Besançon, M., Bestuzheva, K., Chmiela, A., Dionísio, J., Donkiewicz, T., van Doornmalen, J., Eifler, L., Ghannam, M., Gleixner, A., Graczyk, C., Halbig, K., Hedtke, I., Hoen, A., Hojny, C., van der Hulst, R., Kamp, D., Koch, T., Kofler, K., … Xu, L. (2024). The SCIP Optimization Suite 9.0 (ZIB Report No. 24-02-29). Zuse Institute Berlin. [URL] [arXiv] [code]
    [BibTeX]
    @techreport{2024_BolusaniEtAl_Scip9,
  year = {2024},
  institution = {Zuse Institute Berlin},
  type = {ZIB Report},
  month = feb,
  number = {24-02-29},
  url = {https://nbn-resolving.org/urn:nbn:de:0297-zib-95528},
  archiveprefix = {arXiv},
  eprint = {2402.17702},
  primaryclass = {math.OC},
  author = {Bolusani, Suresh and Besançon, Mathieu and Bestuzheva, Ksenia and Chmiela, Antonia and Dionísio, João and Donkiewicz, Tim and van Doornmalen, Jasper and Eifler, Leon and Ghannam, Mohammed and Gleixner, Ambros and Graczyk, Christoph and Halbig, Katrin and Hedtke, Ivo and Hoen, Alexander and Hojny, Christopher and van der Hulst, Rolf and Kamp, Dominik and Koch, Thorsten and Kofler, Kevin and Lentz, Jurgen and Manns, Julian and Mexi, Gioni and Mühmer, Erik and Pfetsch, Marc and Schlösser, Franziska and Serrano, Felipe and Shinano, Yuji and Turner, Mark and Vigerske, Stefan and Weninger, Dieter and Xu, Liding},
  title = {The SCIP Optimization Suite 9.0},
  code = {https://scipopt.org}
}
  3. Bestuzheva, K., Gleixner, A., and Achterberg, T. (2024). Efficient Separation of RLT Cuts for Implicit and Explicit Bilinear Terms. Mathematical Programming. DOI: https://doi.org/10.1007/s10107-024-02104-0 [arXiv]
    [BibTeX]
    @article{2022_BestuzhevaGleixnerAchterberg_Rltcutsbilinear_1,
  year = {2024},
  journal = {Mathematical Programming},
  doi = {https://doi.org/10.1007/s10107-024-02104-0},
  archiveprefix = {arXiv},
  eprint = {2211.13545},
  primaryclass = {math.OC},
  author = {Bestuzheva, Ksenia and Gleixner, Ambros and Achterberg, Tobias},
  title = {Efficient Separation of RLT Cuts for Implicit and Explicit Bilinear Terms}
}
  4. Bolusani, S., Besançon, M., Gleixner, A., Berthold, T., D’Ambrosio, C., Muñoz, G., Paat, J., and Thomopulos, D. (2024). The MIP Workshop 2023 Computational Competition on Reoptimization. Mathematical Programming Computation. DOI: 10.1007/s12532-024-00256-w [arXiv]
    [BibTeX]
    @article{2023_BolusaniEtAl_Mipreoptimization,
  year = {2024},
  journal = {Mathematical Programming Computation},
  doi = {10.1007/s12532-024-00256-w},
  archiveprefix = {arXiv},
  eprint = {2311.14834},
  primaryclass = {math.OC},
  author = {Bolusani, Suresh and Besançon, Mathieu and Gleixner, Ambros and Berthold, Timo and D'Ambrosio, Claudia and Muñoz, Gonzalo and Paat, Joseph and Thomopulos, Dimitri},
  title = {The MIP Workshop 2023 Computational Competition on Reoptimization}
}
  5. Eifler, L., and Gleixner, A. (2024). Safe and Verified Gomory Mixed Integer Cuts in a Rational MIP Framework. SIAM Journal on Optimization, 34(1), 742–763. DOI: 10.1137/23M156046X [URL]
    [BibTeX]
    @article{2023_EiflerGleixner_Gomorycuts,
  year = {2024},
  journal = {SIAM Journal on Optimization},
  volume = {34},
  number = {1},
  pages = {742-763},
  doi = {10.1137/23M156046X},
  note = {ZIB report 23-09},
  url = {https://nbn-resolving.org/urn:nbn:de:0297-zib-90159},
  author = {Eifler, Leon and Gleixner, Ambros},
  title = {Safe and Verified Gomory Mixed Integer Cuts in a Rational MIP Framework}
}
  6. Eifler, L., Nicolas-Thouvenin, J., and Gleixner, A. (2024). Combining Precision Boosting with LP Iterative Refinement for Exact Linear Optimization. INFORMS Journal on Computing. DOI: 10.1007/s10107-024-02104-0 [arXiv]
    [BibTeX]
    @article{2023_EiflerNicolasGleixner_Precisionboostinglp,
  year = {2024},
  journal = {INFORMS Journal on Computing},
  doi = {10.1007/s10107-024-02104-0},
  archiveprefix = {arXiv},
  eprint = {2311.08037},
  primaryclass = {math.OC},
  author = {Eifler, Leon and Nicolas-Thouvenin, Jules and Gleixner, Ambros},
  title = {Combining Precision Boosting with LP Iterative Refinement for Exact Linear Optimization}
}
  7. Hendrych, D., Besançon, M., and Pokutta, S. (2024). Solving the Optimal Experiment Design Problem with Mixed-integer Convex Methods. Proceedings of Symposium on Experimental Algorithms. DOI: 10.4230/LIPIcs.SEA.2024.16 [arXiv] [code]
    [BibTeX]
    @inproceedings{2023_HendrychBesanconPokutta_Optimalexperimentdesign,
  year = {2024},
  booktitle = {Proceedings of Symposium on Experimental Algorithms},
  doi = {10.4230/LIPIcs.SEA.2024.16},
  archiveprefix = {arXiv},
  eprint = {2312.11200},
  primaryclass = {math.OC},
  author = {Hendrych, Deborah and Besançon, Mathieu and Pokutta, Sebastian},
  title = {Solving the Optimal Experiment Design Problem with Mixed-integer Convex Methods},
  code = {https://github.com/ZIB-IOL/OptimalDesignWithBoscia}
}
  8. Mexi, G., Shamsi, S., Besançon, M., and le Bodic, P. (2024). Probabilistic Lookahead Strong Branching Via a Stochastic Abstract Branching Model. Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research. [arXiv]
    [BibTeX]
    @inproceedings{2023_MexiSomayehBesanconPierre_Probabilisticstrongbranching,
  year = {2024},
  booktitle = {Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research},
  archiveprefix = {arXiv},
  eprint = {2312.07041},
  primaryclass = {math.OC},
  author = {Mexi, Gioni and Shamsi, Somayeh and Besançon, Mathieu and le Bodic, Pierre},
  title = {Probabilistic Lookahead Strong Branching Via a Stochastic Abstract Branching Model}
}
  9. Borst, S., Eifler, L., and Gleixner, A. (2024). Certified Constraint Propagation and Dual Proof Analysis in a Numerically Exact MIP Solver. [arXiv]
    [BibTeX]
    @misc{2024_BorstEiflerGleixner_ConstraintpropagationDualproofMip,
  archiveprefix = {arXiv},
  eprint = {2403.13567},
  primaryclass = {math.OC},
  year = {2024},
  author = {Borst, Sander and Eifler, Leon and Gleixner, Ambros},
  title = {Certified Constraint Propagation and Dual Proof Analysis in a Numerically Exact MIP Solver}
}
  10. Eifler, L., Witzig, J., and Gleixner, A. (2024). Branch and Cut for Partitioning a Graph Into a Cycle of Clusters. Proceedings of International Symposium on Combinatorial Optimization. DOI: 10.1007/978-3-031-60924-4_8 [arXiv]
    [BibTeX]
    @inproceedings{2024_EiflerWitzigGleixner_Branchcutcycleclustering,
  year = {2024},
  booktitle = {Proceedings of International Symposium on Combinatorial Optimization},
  doi = {10.1007/978-3-031-60924-4_8},
  archiveprefix = {arXiv},
  eprint = {2401.08412},
  primaryclass = {math.OC},
  author = {Eifler, Leon and Witzig, Jakob and Gleixner, Ambros},
  title = {Branch and Cut for Partitioning a Graph Into a Cycle of Clusters}
}
  11. Tjusila, G., Besançon, M., Turner, M., and Koch, T. (2024). How Many Clues To Give? A Bilevel Formulation For The Minimum Sudoku Clue Problem. Operations Research Letters. DOI: 10.1016/j.orl.2024.107105 [URL] [arXiv]
    [BibTeX]
    @article{2024_GennesaretBesanconTurnerKoch_Bilevelsudokuclue,
  year = {2024},
  journal = {Operations Research Letters},
  doi = {10.1016/j.orl.2024.107105},
  url = {https://sciencedirect.com/science/article/abs/pii/S0167637724000415},
  archiveprefix = {arXiv},
  eprint = {2305.01697},
  primaryclass = {math.OC},
  author = {Tjusila, Gennesaret and Besançon, Mathieu and Turner, Mark and Koch, Thorsten},
  title = {How Many Clues To Give? A Bilevel Formulation For The Minimum Sudoku Clue Problem.}
}
  12. Ghannam, M., Mexi, G., Lam, E., and Gleixner, A. (2024). Branch and Price for the Length-constrained Cycle Partition Problem. Proceedings of INFORMS Optimization Society Conference. [URL] [arXiv]
    [BibTeX]
    @inproceedings{2024_GhannamMexiLamGleixner_Branchpricelccp,
  year = {2024},
  booktitle = {Proceedings of INFORMS Optimization Society Conference},
  url = {https://sites.google.com/view/ios2024refereed},
  archiveprefix = {arXiv},
  eprint = {2401.17937},
  primaryclass = {math.OC},
  author = {Ghannam, Mohammed and Mexi, Gioni and Lam, Edward and Gleixner, Ambros},
  title = {Branch and Price for the Length-constrained Cycle Partition Problem}
}
  13. Halbig, K., Hoen, A., Gleixner, A., Witzig, J., and Weninger, D. (2024). A Diving Heuristic for Mixed-integer Problems with Unbounded Semi-continuous Variables. [arXiv]
    [BibTeX]
    @misc{2024_HalbigEtAl_Divingheuristic,
  archiveprefix = {arXiv},
  eprint = {2403.19411},
  primaryclass = {math.OC},
  year = {2024},
  author = {Halbig, Katrin and Hoen, Alexander and Gleixner, Ambros and Witzig, Jakob and Weninger, Dieter},
  title = {A Diving Heuristic for Mixed-integer Problems with Unbounded Semi-continuous Variables}
}
  14. Hoen, A., Kamp, D., and Gleixner, A. (2024). MIP-DD: A Delta Debugger for Mixed Integer Programming Solvers. [arXiv]
    [BibTeX]
    @misc{2024_HoenKampGleixner_Mipdebugger,
  archiveprefix = {arXiv},
  eprint = {2405.19770},
  primaryclass = {math.OC},
  year = {2024},
  author = {Hoen, Alexander and Kamp, Dominik and Gleixner, Ambros},
  title = {MIP-DD: A Delta Debugger for Mixed Integer Programming Solvers}
}
  15. Hoen, A., Oertel, A., Gleixner, A., and Nordström, J. (2024). Certifying MIP-based Presolve Reductions for 0-1 Integer Linear Programs. Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 310–328. DOI: 10.1007/978-3-031-60597-0_20 [arXiv]
    [BibTeX]
    @inproceedings{2024_HoenOertelGleixnerNordstrm_Mippresolvecertification,
  year = {2024},
  booktitle = {Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research},
  pages = {310-328},
  doi = {10.1007/978-3-031-60597-0_20},
  archiveprefix = {arXiv},
  eprint = {2401.09277},
  primaryclass = {math.OC},
  author = {Hoen, Alexander and Oertel, Andy and Gleixner, Ambros and Nordström, Jakob},
  title = {Certifying MIP-based Presolve Reductions for 0-1 Integer Linear Programs}
}
  16. Besançon, M., Garcia, J. D., Legat, B., and Sharma, A. (2023). Flexible Differentiable Optimization Via Model Transformations. INFORMS Journal on Computing. DOI: 10.1287/ijoc.2022.0283 [URL] [arXiv]
    [BibTeX]
    @article{2022_BesanconJoaquimBenotAkshay_Differentiableoptimization,
  year = {2023},
  journal = {INFORMS Journal on Computing},
  month = aug,
  doi = {10.1287/ijoc.2022.0283},
  url = {https://pubsonline.informs.org/doi/epdf/10.1287/ijoc.2022.0283},
  archiveprefix = {arXiv},
  eprint = {2206.06135},
  primaryclass = {cs.LG},
  author = {Besançon, Mathieu and Garcia, Joaquim Dias and Legat, Benoît and Sharma, Akshay},
  title = {Flexible Differentiable Optimization Via Model Transformations}
}
  17. Bestuzheva, K., Gleixner, A., and Vigerske, S. (2023). A Computational Study of Perspective Cuts. Mathematical Programming Computation, 15, 703–731. DOI: 10.1007/s12532-023-00246-4 [URL] [arXiv]
    [BibTeX]
    @article{2021_BestuzhevaGleixnerVigerske_Perspectivecuts,
  year = {2023},
  journal = {Mathematical Programming Computation},
  volume = {15},
  pages = {703-731},
  doi = {10.1007/s12532-023-00246-4},
  note = {ZIB report 21-07},
  url = {https://nbn-resolving.org/urn:nbn:de:0297-zib-81821},
  archiveprefix = {arXiv},
  eprint = {2103.09573},
  primaryclass = {math.OC},
  author = {Bestuzheva, Ksenia and Gleixner, Ambros and Vigerske, Stefan},
  title = {A Computational Study of Perspective Cuts}
}
  18. Bestuzheva, K., Gleixner, A., and Achterberg, T. (2023). Efficient Separation of RLT Cuts for Implicit and Explicit Bilinear Products. Proceedings of Conference on Integer Programming and Combinatorial Optimization, 14–28. DOI: 10.1007/978-3-031-32726-1_2 [arXiv]
    [BibTeX]
    @inproceedings{2022_BestuzhevaGleixnerAchterberg_Rltcutsbilinear,
  year = {2023},
  booktitle = {Proceedings of Conference on Integer Programming and Combinatorial Optimization},
  pages = {14-28},
  doi = {10.1007/978-3-031-32726-1_2},
  archiveprefix = {arXiv},
  eprint = {2211.13545},
  primaryclass = {math.OC},
  author = {Bestuzheva, Ksenia and Gleixner, Ambros and Achterberg, Tobias},
  title = {Efficient Separation of RLT Cuts for Implicit and Explicit Bilinear Products}
}
  19. Gleixner, A., Gottwald, L., and Hoen, A. (2023). PaPILO: a Parallel Presolving Library for Integer and Linear Programming with Multiprecision Support. INFORMS Journal on Computing. DOI: 10.1287/ijoc.2022.0171 [arXiv]
    [BibTeX]
    @article{2022_GleixnerGottwaldHoen_PapiloMultiprecision,
  year = {2023},
  journal = {INFORMS Journal on Computing},
  doi = {10.1287/ijoc.2022.0171},
  archiveprefix = {arXiv},
  eprint = {2206.10709},
  primaryclass = {math.OC},
  author = {Gleixner, Ambros and Gottwald, Leona and Hoen, Alexander},
  title = {PaPILO: a Parallel Presolving Library for Integer and Linear Programming with Multiprecision Support}
}
  20. Turner, M., Berthold, T., Besançon, M., and Koch, T. (2023). Cutting Plane Selection with Analytic Centers and Multiregression. Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research.
    [BibTeX]
    @inproceedings{2022_TurnerBertholdBesanconKoch_Cuttingplanemultiregression,
  year = {2023},
  booktitle = {Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research},
  author = {Turner, Mark and Berthold, Timo and Besançon, Mathieu and Koch, Thorsten},
  title = {Cutting Plane Selection with Analytic Centers and Multiregression}
}
  21. Berthold, T., Mexi, G., and Salvagnin, D. (2023). Using Multiple Reference Vectors and Objective Scaling in the Feasibility Pump. EURO Journal on Computational Optimization, 11. DOI: 10.1016/j.ejco.2023.100066
    [BibTeX]
    @article{2023_BertholdMexiSalvagnin_Multiplereferencevectors,
  year = {2023},
  journal = {EURO Journal on Computational Optimization},
  volume = {11},
  doi = {10.1016/j.ejco.2023.100066},
  author = {Berthold, Timo and Mexi, Gioni and Salvagnin, Domenico},
  title = {Using Multiple Reference Vectors and Objective Scaling in the Feasibility Pump}
}
  22. Bestuzheva, K., Chmiela, A., MĂĽller, B., Serrano, F., Vigerske, S., and Wegscheider, F. (2023). Global Optimization of Mixed-integer Nonlinear Programs with SCIP 8.0. Journal of Global Optimization. DOI: 10.1007/s10898-023-01345-1 [URL] [arXiv]
    [BibTeX]
    @article{2023_BestuzhevaEtAl_GlobaloptimizationScip80,
  year = {2023},
  journal = {Journal of Global Optimization},
  doi = {10.1007/s10898-023-01345-1},
  note = {ZIB report 23-01},
  url = {https://nbn-resolving.org/urn:nbn:de:0297-zib-89348},
  archiveprefix = {arXiv},
  eprint = {2301.00587},
  primaryclass = {math.OC},
  author = {Bestuzheva, Ksenia and Chmiela, Antonia and MĂĽller, Benjamin and Serrano, Felipe and Vigerske, Stefan and Wegscheider, Fabian},
  title = {Global Optimization of Mixed-integer Nonlinear Programs with SCIP 8.0}
}
  23. Bestuzheva, K., Besançon, M., Chen, W.-K., Chmiela, A., Donkiewicz, T., van Doornmalen, J., Eifler, L., Gaul, O., Gamrath, G., Gleixner, A., Gottwald, L., Graczyk, C., Halbig, K., Hoen, A., Hojny, C., van der Hulst, R., Koch, T., Lübbecke, M., Maher, S. J., … Witzig, J. (2023). Enabling Research Through the SCIP Optimization Suite 8.0. ACM Transactions on Mathematical Software. DOI: 10.1145/3585516 [arXiv]
    [BibTeX]
    @article{2023_BestuzhevaEtAl_ResearchScip,
  year = {2023},
  journal = {ACM Transactions on Mathematical Software},
  doi = {10.1145/3585516},
  archiveprefix = {arXiv},
  eprint = {2303.07101},
  primaryclass = {math.OC},
  author = {Bestuzheva, Ksenia and Besançon, Mathieu and Chen, Wei-Kun and Chmiela, Antonia and Donkiewicz, Tim and van Doornmalen, Jasper and Eifler, Leon and Gaul, Oliver and Gamrath, Gerald and Gleixner, Ambros and Gottwald, Leona and Graczyk, Christoph and Halbig, Katrin and Hoen, Alexander and Hojny, Christopher and van der Hulst, Rolf and Koch, Thorsten and Lübbecke, Marco and Maher, Stephen J. and Matter, Frederic and Mühmer, Erik and Müller, Benjamin and Pfetsch, Marc and Rehfeldt, Daniel and Schlein, Steffan and Schlösser, Franziska and Serrano, Felipe and Shinano, Yuji and Sofranac, Boro and Turner, Mark and Vigerske, Stefan and Wegscheider, Fabian and Wellner, Philipp and Weninger, Dieter and Witzig, Jakob},
  title = {Enabling Research Through the SCIP Optimization Suite 8.0}
}
  24. Chmiela, A., Gleixner, A., Lichocki, P., and Pokutta, S. (2023). Online Learning for Scheduling MIP Heuristics. Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 114–123. DOI: 10.1007/978-3-031-33271-5_8
    [BibTeX]
    @inproceedings{2023_ChmielaGleixnerLichockiPokutta_Onlinelearningscheduling,
  year = {2023},
  booktitle = {Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research},
  pages = {114-123},
  doi = {10.1007/978-3-031-33271-5_8},
  author = {Chmiela, Antonia and Gleixner, Ambros and Lichocki, Pawel and Pokutta, Sebastian},
  title = {Online Learning for Scheduling MIP Heuristics}
}
  25. Chmiela, A., Muñoz, G., and Serrano, F. (2023). Monoidal Strengthening and Unique Lifting in MIQCPs. Proceedings of Conference on Integer Programming and Combinatorial Optimization. [URL]
    [BibTeX]
    @inproceedings{2023_ChmielaMuozSerrano_Monoidalstrengthening,
  year = {2023},
  booktitle = {Proceedings of Conference on Integer Programming and Combinatorial Optimization},
  url = {https://gonzalomunoz.org/monoidalforMIQCP.pdf},
  author = {Chmiela, Antonia and Muñoz, Gonzalo and Serrano, Felipe},
  title = {Monoidal Strengthening and Unique Lifting in MIQCPs}
}
  26. Eifler, L., and Gleixner, A. (2023). A Computational Status Update for Exact Rational Mixed Integer Programming. Mathematical Programming, 197, 793–812. DOI: 10.1007/s10107-021-01749-5
    [BibTeX]
    @article{2023_EiflerGleixner_Exactrationalmip,
  year = {2023},
  journal = {Mathematical Programming},
  volume = {197},
  pages = {793-812},
  doi = {10.1007/s10107-021-01749-5},
  author = {Eifler, Leon and Gleixner, Ambros},
  title = {A Computational Status Update for Exact Rational Mixed Integer Programming}
}
  27. Ghannam, M., and Gleixner, A. (2023). Hybrid Genetic Search for Dynamic Vehicle Routing with Time Windows. Proceedings of Conference of the Society for Operations Research in Germany. [arXiv]
    [BibTeX]
    @inproceedings{2023_GhannamGleixner_Hybridgeneticsearch,
  year = {2023},
  booktitle = {Proceedings of Conference of the Society for Operations Research in Germany},
  archiveprefix = {arXiv},
  eprint = {2307.11800},
  primaryclass = {cs.NE},
  author = {Ghannam, Mohammed and Gleixner, Ambros},
  title = {Hybrid Genetic Search for Dynamic Vehicle Routing with Time Windows}
}
  28. Mexi, G., Berthold, T., Gleixner, A., and Nordström, J. (2023). Improving Conflict Analysis in MIP Solvers by Pseudo-Boolean Reasoning. Proceedings of 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), 280, 27:1–27:19, DOI: 10.4230/LIPIcs.CP.2023.27
    [BibTeX]
    @inproceedings{2023_MexiBertholdGleixnerNordstrm_ConflictanalysisPseudoboolean,
  year = {2023},
  booktitle = {Proceedings of 29th International Conference on Principles and Practice of Constraint Programming (CP 2023)},
  volume = {280},
  pages = {27:1-27:19,},
  doi = {10.4230/LIPIcs.CP.2023.27},
  author = {Mexi, Gioni and Berthold, Timo and Gleixner, Ambros and Nordström, Jakob},
  title = {Improving Conflict Analysis in MIP Solvers by Pseudo-Boolean Reasoning}
}
  29. Mexi, G., Besançon, M., Bolusani, S., Chmiela, A., Hoen, A., and Gleixner, A. (2023). Scylla: a Matrix-free Fix-propagate-and-project Heuristic for Mixed-integer Optimization. Proceedings of Conference of the Society for Operations Research in Germany. [arXiv]
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    @inproceedings{2023_MexiEtAl_Scyllaheuristic,
  year = {2023},
  booktitle = {Proceedings of Conference of the Society for Operations Research in Germany},
  archiveprefix = {arXiv},
  eprint = {2307.03466},
  primaryclass = {math.OC},
  author = {Mexi, Gioni and Besançon, Mathieu and Bolusani, Suresh and Chmiela, Antonia and Hoen, Alexander and Gleixner, Ambros},
  title = {Scylla: a Matrix-free Fix-propagate-and-project Heuristic for Mixed-integer Optimization}
}
  30. Turner, M., Berthold, T., and Besançon, M. (2023). A Context-Aware Cutting Plane Selection Algorithm for Mixed-Integer Programming. Proceedings of Conference of the Society for Operations Research in Germany. [arXiv]
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    @inproceedings{2023_TurnerBertholdBesancon_Contextawarecuttingplane,
  year = {2023},
  booktitle = {Proceedings of Conference of the Society for Operations Research in Germany},
  archiveprefix = {arXiv},
  eprint = {2307.07322},
  primaryclass = {math.OC},
  author = {Turner, Mark and Berthold, Timo and Besançon, Mathieu},
  title = {A Context-Aware Cutting Plane Selection Algorithm for Mixed-Integer Programming}
}
  31. Turner, M., Chmiela, A., Koch, T., and Winkler, M. (2023). PySCIPOpt-ML: Embedding Trained Machine Learning Models Into Mixed-integer Programs. [arXiv]
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    @misc{2023_TurnerChmielaKochMichael_Pyscipoptml,
  archiveprefix = {arXiv},
  eprint = {2312.08074},
  primaryclass = {math.OC},
  year = {2023},
  author = {Turner, Mark and Chmiela, Antonia and Koch, Thorsten and Winkler, Michael},
  title = {PySCIPOpt-ML: Embedding Trained Machine Learning Models Into Mixed-integer Programs}
}
  32. Woodstock, Z., and Pokutta, S. (2023). Splitting the Conditional Gradient Algorithm. [arXiv]
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    @misc{2023_WoodstockPokutta_Conditionalgradientnonconvex,
  archiveprefix = {arXiv},
  eprint = {2311.05381},
  primaryclass = {math.OC},
  year = {2023},
  author = {Woodstock, Zev and Pokutta, Sebastian},
  title = {Splitting the Conditional Gradient Algorithm}
}
  33. van Doornmalen, J., Eifler, L., Gleixner, A., and Hojny, C. (2023). A Proof System for Certifying Symmetry and Optimality Reasoning in Integer Programming. [arXiv]
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    @misc{2023_vanEiflerGleixnerHojny_Proofsystemsymmetry,
  archiveprefix = {arXiv},
  eprint = {2311.03877},
  primaryclass = {math.OC},
  year = {2023},
  author = {van Doornmalen, Jasper and Eifler, Leon and Gleixner, Ambros and Hojny, Christopher},
  title = {A Proof System for Certifying Symmetry and Optimality Reasoning in Integer Programming}
}
  34. Wilken, S. E., Besançon, M., Kratochvíl, M., Kuate, C. A. F., Trefois, C., Gu, W., and Ebenhöh, O. (2022). Interrogating the Effect of Enzyme Kinetics on Metabolism Using Differentiable Constraint-based Models. Metabolic Engineering.
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    @article{2022_ElmoEtAl_Enzymekineticsmetabolism,
  year = {2022},
  journal = {Metabolic Engineering},
  month = nov,
  author = {Wilken, St. Elmo and Besançon, Mathieu and Kratochvíl, Miroslav and Kuate, Chilperic Armel Foko and Trefois, Christophe and Gu, Wei and Ebenhöh, Oliver},
  title = {Interrogating the Effect of Enzyme Kinetics on Metabolism Using Differentiable Constraint-based Models}
}
  35. Gasse, M., Bowly, S., Cappart, Q., Charfreitag, J., Charlin, L., Chételat, D., Chmiela, A., Dumouchelle, J., Gleixner, A., Kazachkov, A. M., Khalil, E., Lichocki, P., Lodi, A., Lubin, M., Maddison, C. J., Christopher, M., Papageorgiou, D. J., Parjadis, A., Pokutta, S., … Kun, M. (2022). The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. Proceedings of Conference on Neural Information Processing Systems, 176, 220–231. [URL] [arXiv]
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  year = {2022},
  booktitle = {Proceedings of Conference on Neural Information Processing Systems},
  month = jun,
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  pages = {220–231},
  url = {https://proceedings.mlr.press/v176/gasse22a.html},
  archiveprefix = {arXiv},
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  primaryclass = {cs.LG},
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  36. Besançon, M., Carderera, A., and Pokutta, S. (2022). FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank-Wolfe Algorithms and Conditional Gradients. INFORMS Journal on Computing. [arXiv] [summary] [slides] [code]
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    @article{2021_BesanconCardereraPokutta_Frankwolfetoolbox,
  year = {2022},
  journal = {INFORMS Journal on Computing},
  month = feb,
  archiveprefix = {arXiv},
  eprint = {2104.06675},
  primaryclass = {math.OC},
  author = {Besançon, Mathieu and Carderera, Alejandro and Pokutta, Sebastian},
  title = {FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank-Wolfe Algorithms and Conditional Gradients},
  code = {https://github.com/ZIB-IOL/FrankWolfe.jl},
  slides = {https://pokutta.com/slides/20210710_FW-simpleSteps-SelfConcordance.pdf},
  summary = {https://pokutta.com/blog/research/2021/04/20/FrankWolfejl.html}
}
  37. Sofranac, B., Gleixner, A., and Pokutta, S. (2022). Accelerating Domain Propagation: An Efficient GPU-parallel Algorithm Over Sparse Matrices. Parallel Computing, 109, 102874. DOI: 10.1016/j.parco.2021.102874 [arXiv] [summary]
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    @article{2020_SofranacGleixnerPokutta_Domainpropagation,
  year = {2022},
  journal = {Parallel Computing},
  volume = {109},
  pages = {102874},
  doi = {10.1016/j.parco.2021.102874},
  archiveprefix = {arXiv},
  eprint = {2009.07785},
  primaryclass = {cs.DC},
  author = {Sofranac, Boro and Gleixner, Ambros and Pokutta, Sebastian},
  title = {Accelerating Domain Propagation: An Efficient GPU-parallel Algorithm Over Sparse Matrices},
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}
  38. Macdonald, J., Besançon, M., and Pokutta, S. (2022). Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings. Proceedings of International Conference on Machine Learning. [arXiv] [poster] [video]
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    @inproceedings{2021_MacdonaldBesanconPokutta_Interpretableneuralnetworks,
  year = {2022},
  booktitle = {Proceedings of International Conference on Machine Learning},
  archiveprefix = {arXiv},
  eprint = {2110.08105},
  primaryclass = {cs.lG},
  author = {Macdonald, Jan and Besançon, Mathieu and Pokutta, Sebastian},
  title = {Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings},
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  video = {https://slideslive.com/38983588}
}
  39. Sofranac, B., Gleixner, A., and Pokutta, S. (2022). An Algorithm-independent Measure of Progress for Linear Constraint Propagation. Constraints, 27, 432–455. DOI: 10.1007/s10601-022-09338-9 [arXiv]
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    @article{2021_SofranacGleixnerPokutta_Progressmeasure,
  year = {2022},
  journal = {Constraints},
  volume = {27},
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  doi = {10.1007/s10601-022-09338-9},
  archiveprefix = {arXiv},
  eprint = {2106.07573},
  primaryclass = {math.OC},
  author = {Sofranac, Boro and Gleixner, Ambros and Pokutta, Sebastian},
  title = {An Algorithm-independent Measure of Progress for Linear Constraint Propagation}
}
  40. Chmiela, A., Muñoz, G., and Serrano, F. (2022). On the Implementation and Strengthening of Intersection Cuts for QCQPs. Mathematical Programming B, 197, 549–586. DOI: 10.1007/s10107-022-01808-5
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    @article{2022_ChmielaMuozSerrano_Intersectioncutsqcqps,
  year = {2022},
  journal = {Mathematical Programming B},
  volume = {197},
  pages = {549-586},
  doi = {10.1007/s10107-022-01808-5},
  author = {Chmiela, Antonia and Muñoz, Gonzalo and Serrano, Felipe},
  title = {On the Implementation and Strengthening of Intersection Cuts for QCQPs}
}
  41. Eifler, L., Gleixner, A., and Pulaj, J. (2022). A Safe Computational Framework for Integer Programming Applied to Chvátal’s Conjecture. ACM Transactions on Mathematical Software, 48(2), 1–12. DOI: 10.1145/3485630
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    @article{2022_EiflerGleixnerPulaj_Safeintegerprogramming,
  year = {2022},
  journal = {ACM Transactions on Mathematical Software},
  volume = {48},
  number = {2},
  pages = {1-12},
  doi = {10.1145/3485630},
  author = {Eifler, Leon and Gleixner, Ambros and Pulaj, Jonad},
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}
  42. Hendrych, D., Troppens, H., Besançon, M., and Pokutta, S. (2022). Convex Integer Optimization with Frank-Wolfe Methods. [arXiv] [slides] [code]
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    @misc{2022_HendrychTroppensBesanconPokutta_Convexintegerfrankwolfe,
  archiveprefix = {arXiv},
  eprint = {2208.11010},
  primaryclass = {math.OC},
  year = {2022},
  author = {Hendrych, Deborah and Troppens, Hannah and Besançon, Mathieu and Pokutta, Sebastian},
  title = {Convex Integer Optimization with Frank-Wolfe Methods},
  code = {https://github.com/ZIB-IOL/Boscia.jl},
  slides = {https://pokutta.com/slides/20220915_boscia.pdf}
}
  43. Bestuzheva, K., Gleixner, A., and Völker, H. (2022). Strengthening SONC Relaxations with Constraints Derived From Variable Bounds. Proceedings of Proceedings of the Hungarian Global Optimization Workshop HUGO 2022, 41–44. [URL] [arXiv]
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    @inproceedings{2023_BestuzhevaGleixnerVlker_Soncconstraints,
  year = {2022},
  booktitle = {Proceedings of Proceedings of the Hungarian Global Optimization Workshop HUGO 2022},
  pages = {41-44},
  url = {https://inf.u-szeged.hu/hugo/},
  archiveprefix = {arXiv},
  eprint = {2304.12145},
  primaryclass = {math.OC},
  author = {Bestuzheva, Ksenia and Gleixner, Ambros and Völker, Helena},
  title = {Strengthening SONC Relaxations with Constraints Derived From Variable Bounds}
}
  44. Bestuzheva, K., Besançon, M., Chen, W.-K., Chmiela, A., Donkiewicz, T., van Doornmalen, J., Eifler, L., Gaul, O., Gamrath, G., Gleixner, A., Gottwald, L., Graczyk, C., Halbig, K., Hoen, A., Hojny, C., van der Hulst, R., Koch, T., Lübbecke, M., Maher, S. J., … Witzig, J. (2021). The SCIP Optimization Suite 8.0 (ZIB Report No. 21-41). Zuse Institute Berlin. [URL] [code]
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    @techreport{2021_BestuzhevaEtAl_Scip8,
  year = {2021},
  institution = {Zuse Institute Berlin},
  type = {ZIB Report},
  month = dec,
  number = {21-41},
  url = {https://nbn-resolving.org/urn:nbn:de:0297-zib-85309},
  author = {Bestuzheva, Ksenia and Besançon, Mathieu and Chen, Wei-Kun and Chmiela, Antonia and Donkiewicz, Tim and van Doornmalen, Jasper and Eifler, Leon and Gaul, Oliver and Gamrath, Gerald and Gleixner, Ambros and Gottwald, Leona and Graczyk, Christoph and Halbig, Katrin and Hoen, Alexander and Hojny, Christopher and van der Hulst, Rolf and Koch, Thorsten and Lübbecke, Marco and Maher, Stephen J. and Matter, Frederic and Mühmer, Erik and Müller, Benjamin and Pfetsch, Marc and Rehfeldt, Daniel and Schlein, Steffan and Schlösser, Franziska and Serrano, Felipe and Shinano, Yuji and Sofranac, Boro and Turner, Mark and Vigerske, Stefan and Wegscheider, Fabian and Wellner, Philipp and Weninger, Dieter and Witzig, Jakob},
  title = {The SCIP Optimization Suite 8.0},
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}
  45. Carderera, A., Besançon, M., and Pokutta, S. (2021). Simple Steps Are All You Need: Frank-Wolfe and Generalized Self-concordant Functions. Proceedings of Conference on Neural Information Processing Systems, 34, 5390–5401. [URL] [arXiv] [summary] [slides] [poster] [code]
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    @inproceedings{2024_CardereraBesanconPokutta_Scalablefrankwolfe:1,
  year = {2021},
  booktitle = {Proceedings of Conference on Neural Information Processing Systems},
  month = may,
  volume = {34},
  pages = {5390–5401},
  url = {https://proceedings.neurips.cc/paper_files/paper/2021/file/2b323d6eb28422cef49b266557dd31ad-Paper.pdf},
  archiveprefix = {arXiv},
  eprint = {2105.13913},
  primaryclass = {math.OC},
  author = {Carderera, Alejandro and Besançon, Mathieu and Pokutta, Sebastian},
  title = {Simple Steps Are All You Need: Frank-Wolfe and Generalized Self-concordant Functions},
  code = {https://doi.org/10.5281/zenodo.4836009},
  poster = {https://pokutta.com/slides/20211120_poster_NeurIPS21_lSimple_steps_are_all_you_need.pdf},
  slides = {https://pokutta.com/slides/20210710_FW-simpleSteps-SelfConcordance.pdf},
  summary = {https://pokutta.com/blog/research/2021/10/09/self-concordant-abstract.html}
}
  46. Chmiela, A., Khalil, E. B., Gleixner, A., Lodi, A., and Pokutta, S. (2021). Learning to Schedule Heuristics in Branch-and-bound. Proceedings of Conference on Neural Information Processing Systems, 34, 24235–24246. [URL] [arXiv] [poster]
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    @inproceedings{2021_ChmielaEtAl_Heuristicscheduling,
  year = {2021},
  booktitle = {Proceedings of Conference on Neural Information Processing Systems},
  month = mar,
  volume = {34},
  pages = {24235–24246},
  url = {https://proceedings.neurips.cc/paper_files/paper/2021/file/cb7c403aa312160380010ee3dd4bfc53-Paper.pdf},
  archiveprefix = {arXiv},
  eprint = {2103.10294},
  primaryclass = {cs.LG},
  author = {Chmiela, Antonia and Khalil, Elias B. and Gleixner, Ambros and Lodi, Andrea and Pokutta, Sebastian},
  title = {Learning to Schedule Heuristics in Branch-and-bound},
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}
  47. Ramin, E., Bestuzheva, K., Gargalo, C., Ramin, D., Schneider, C., Ramin, P., Flores-Alsina, X., Andersen, M., and Gernaey, K. (2021). Incremental Design of Water Symbiosis Networks with Prior Knowledge: the Case of an Industrial Park in Kenya. Science of the Total Environment, 751. DOI: 10.1016/j.scitotenv.2020.141706
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    @article{2021_RaminEtAl_Incrementalwatersymbiosis,
  year = {2021},
  journal = {Science of the Total Environment},
  volume = {751},
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  author = {Ramin, Elham and Bestuzheva, Ksenia and Gargalo, Carina and Ramin, Danial and Schneider, Carina and Ramin, Pedram and Flores-Alsina, Xavier and Andersen, Maj and Gernaey, Krist},
  title = {Incremental Design of Water Symbiosis Networks with Prior Knowledge: the Case of an Industrial Park in Kenya}
}
  48. Sofranac, B., Gleixner, A., and Pokutta, S. (2021). An Algorithm-independent Measure of Progress for Linear Constraint Propagation. Proceedings of International Conference on Principles and Practice of Constraint Programming, 52:1–17. DOI: 10.4230/LIPIcs.CP.2021.52 [URL] [arXiv] [video]
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    @inproceedings{2021_SofranacGleixnerPokutta_Progressmeasure:1,
  year = {2021},
  booktitle = {Proceedings of International Conference on Principles and Practice of Constraint Programming},
  pages = {52:1–17},
  doi = {10.4230/LIPIcs.CP.2021.52},
  url = {https://drops.dagstuhl.de/opus/volltexte/2021/15343/},
  archiveprefix = {arXiv},
  eprint = {2106.07573},
  primaryclass = {math.OC},
  author = {Sofranac, Boro and Gleixner, Ambros and Pokutta, Sebastian},
  title = {An Algorithm-independent Measure of Progress for Linear Constraint Propagation},
  video = {https://youtu.be/paZtGYlkBfE}
}
  49. Chmiela, A., Muñoz, G., and Serrano, F. (2021). On the Implementation and Strengthening of Intersection Cuts for QCQPs. Proceedings of Integer Programming and Combinatorial Optimization: 22nd International Conference, IPCO 2021, 134–147. DOI: 10.1007/978-3-030-73879-2_10
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    @inproceedings{2022_ChmielaMuozSerrano_Intersectioncutsqcqps:1,
  year = {2021},
  booktitle = {Proceedings of Integer Programming and Combinatorial Optimization: 22nd International Conference, IPCO 2021},
  pages = {134-147},
  doi = {10.1007/978-3-030-73879-2_10},
  author = {Chmiela, Antonia and Muñoz, Gonzalo and Serrano, Felipe},
  title = {On the Implementation and Strengthening of Intersection Cuts for QCQPs}
}
  50. Sofranac, B., Gleixner, A., and Pokutta, S. (2020). Accelerating Domain Propagation: An Efficient GPU-parallel Algorithm Over Sparse Matrices. Proceedings of 10th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, IA3 2020, 1–11. DOI: 10.1109/IA351965.2020.00007 [arXiv] [summary] [slides] [video]
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    @inproceedings{2020_SofranacGleixnerPokutta_Domainpropagation:1,
  year = {2020},
  booktitle = {Proceedings of 10th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, IA3 2020},
  pages = {1-11},
  doi = {10.1109/IA351965.2020.00007},
  archiveprefix = {arXiv},
  eprint = {2009.07785},
  primaryclass = {cs.DC},
  author = {Sofranac, Boro and Gleixner, Ambros and Pokutta, Sebastian},
  title = {Accelerating Domain Propagation: An Efficient GPU-parallel Algorithm Over Sparse Matrices},
  slides = {https://app.box.com/s/qy0pjmhtbm7shk2ypxjxlh2sj4nudvyu},
  summary = {https://pokutta.com/blog/research/2020/09/20/gpu-prob.html},
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}
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    @misc{2023_TurnerBertholdBesanconKoch_Branchingcuttingplane,
  archiveprefix = {arXiv},
  eprint = {2306.06050},
  primaryclass = {math.OC},
  author = {Turner, Mark and Berthold, Timo and Besançon, Mathieu and Koch, Thorsten},
  title = {Branching Via Cutting Plane Selection: Improving Hybrid Branching}
}
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    @misc{2024_BolusaniMexiBesanconTurner_Multireferenceneighborhoodsearch,
  archiveprefix = {arXiv},
  eprint = {2408.00718},
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  author = {Bolusani, Suresh and Mexi, Gioni and Besançon, Mathieu and Turner, Mark},
  title = {A Multi-Reference Relaxation Enforced Neighborhood Search Heuristic in SCIP}
}