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ORCIDMarc Goerigk
Person information
- affiliation: Universität Passau, Germany
- affiliation (former): Universität Siegen, Germany
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Journal Articles
- 2025
[j67]Marc Goerigk
, Jannis Kurtz:
Data-driven prediction of relevant scenarios for robust combinatorial optimization. Comput. Oper. Res. 174: 106886 (2025)- [j66]Werner Baak, Marc Goerigk, Adam Kasperski, Pawel Zielinski:
Robust min-max (regret) optimization using ordered weighted averaging. Eur. J. Oper. Res. 322(1): 171-181 (2025) - [j65]Marc Goerigk, Jannis Kurtz, Martin Schmidt, Johannes Thürauf:
Connections between Robust and Bilevel Optimization. Open J. Math. Optim. 6: 1-17 (2025) - [j64]Jan-Niklas Buckow, Marc Goerigk, Sigrid Knust:
Retrieval optimization in a warehouse with multiple input/output-points. OR Spectr. 47(1): 1-34 (2025) - [j63]Marc Goerigk, Mohammad Khosravi:
Robust combinatorial optimization problems under budgeted interdiction uncertainty. OR Spectr. 47(1): 255-285 (2025) - 2024
- [j62]Marc Goerigk, Mohammad Khosravi:
Benchmarking problems for robust discrete optimization. Comput. Oper. Res. 166: 106608 (2024) - [j61]Marc Goerigk, Stefan Lendl, Lasse Wulf:
On the complexity of robust multi-stage problems with discrete recourse. Discret. Appl. Math. 343: 355-370 (2024) - [j60]Werner Baak, Marc Goerigk, Michael Hartisch:
A preference elicitation approach for the ordered weighted averaging criterion using solution choice observations. Eur. J. Oper. Res. 314(3): 1098-1110 (2024) - 2023
- [j59]Marc Goerigk, Jannis Kurtz:
Data-driven robust optimization using deep neural networks. Comput. Oper. Res. 151: 106087 (2023) - [j58]Trivikram Dokka, Marc Goerigk:
Multi-level bottleneck assignment problems: Complexity and sparsity-exploiting formulations. Comput. Oper. Res. 154: 106213 (2023) - [j57]Marc Goerigk, Michael Hartisch:
Combinatorial optimization problems with balanced regret. Discret. Appl. Math. 328: 40-59 (2023) - [j56]Marc Goerigk, Mohammad Khosravi:
Optimal scenario reduction for one- and two-stage robust optimization with discrete uncertainty in the objective. Eur. J. Oper. Res. 310(2): 529-551 (2023) - [j55]Marc Goerigk, Michael Hartisch:
A framework for inherently interpretable optimization models. Eur. J. Oper. Res. 310(3): 1312-1324 (2023) - [j54]Marc Goerigk, Romain Guillaume, Adam Kasperski, Pawel Zielinski:
Robust optimization with belief functions. Int. J. Approx. Reason. 159: 108941 (2023) - [j53]Philine Schiewe, Marc Goerigk, Niels Lindner:
Introducing TimPassLib - A Library for Integrated Periodic Timetabling and Passenger Routing. Oper. Res. Forum 4(3): 64 (2023) - 2022
- [j52]Matthew Bold, Marc Goerigk:
Investigating the recoverable robust single machine scheduling problem under interval uncertainty. Discret. Appl. Math. 313: 99-114 (2022) - [j51]Marc Goerigk, Stefan Lendl, Lasse Wulf:
Two-Stage robust optimization problems with two-stage uncertainty. Eur. J. Oper. Res. 302(1): 62-78 (2022) - [j50]Marc Goerigk, Stefan Lendl, Lasse Wulf:
Recoverable robust representatives selection problems with discrete budgeted uncertainty. Eur. J. Oper. Res. 303(2): 567-580 (2022) - [j49]Marc Goerigk, Adam Kasperski, Pawel Zielinski:
Robust two-stage combinatorial optimization problems under convex second-stage cost uncertainty. J. Comb. Optim. 43(3): 497-527 (2022) - [j48]Matthew Bold, Marc Goerigk:
A faster exact method for solving the robust multi-mode resource-constrained project scheduling problem. Oper. Res. Lett. 50(5): 581-587 (2022) - 2021
- [j47]Marc Goerigk, Adam Kasperski, Pawel Zielinski:
Combinatorial two-stage minmax regret problems under interval uncertainty. Ann. Oper. Res. 300(1): 23-50 (2021) - [j46]Matthew Bold, Marc Goerigk:
A compact reformulation of the two-stage robust resource-constrained project scheduling problem. Comput. Oper. Res. 130: 105232 (2021) - [j45]Martin Hughes, Marc Goerigk, Trivikram Dokka:
Automatic generation of algorithms for robust optimisation problems using Grammar-Guided Genetic Programming. Comput. Oper. Res. 133: 105364 (2021) - [j44]Marc Goerigk, Michael Hartisch:
Multistage robust discrete optimization via quantified integer programming. Comput. Oper. Res. 135: 105434 (2021) - [j43]André B. Chassein, Marc Goerigk:
On the complexity of min-max-min robustness with two alternatives and budgeted uncertainty. Discret. Appl. Math. 296: 141-163 (2021) - [j42]Marc Goerigk, Stefan Lendl:
Robust Combinatorial Optimization with Locally Budgeted Uncertainty. Open J. Math. Optim. 2: 1-18 (2021) - 2020
- [j41]Martin Hughes, Marc Goerigk, Trivikram Dokka:
Particle swarm metaheuristics for robust optimisation with implementation uncertainty. Comput. Oper. Res. 122: 104998 (2020) - [j40]Marc Goerigk, Jannis Kurtz, Michael Poss:
Min-max-min robustness for combinatorial problems with discrete budgeted uncertainty. Discret. Appl. Math. 285: 707-725 (2020) - [j39]Marc Goerigk, Stephen J. Maher:
Generating hard instances for robust combinatorial optimization. Eur. J. Oper. Res. 280(1): 34-45 (2020) - [j38]André B. Chassein, Marc Goerigk, Adam Kasperski, Pawel Zielinski:
Approximating combinatorial optimization problems with the ordered weighted averaging criterion. Eur. J. Oper. Res. 286(3): 828-838 (2020) - [j37]Sven Boge, Marc Goerigk, Sigrid Knust:
Robust optimization for premarshalling with uncertain priority classes. Eur. J. Oper. Res. 287(1): 191-210 (2020) - [j36]Trivikram Dokka, Marc Goerigk, Rahul Roy:
Mixed uncertainty sets for robust combinatorial optimization. Optim. Lett. 14(6): 1323-1337 (2020) - [j35]Marc Goerigk, Adam Kasperski, Pawel Zielinski:
Two-stage combinatorial optimization problems under risk. Theor. Comput. Sci. 804: 29-45 (2020) - 2019
- [j34]Martin Hughes, Marc Goerigk, Michael Wright:
A largest empty hypersphere metaheuristic for robust optimisation with implementation uncertainty. Comput. Oper. Res. 103: 64-80 (2019) - [j33]André B. Chassein, Trivikram Dokka, Marc Goerigk:
Algorithms and uncertainty sets for data-driven robust shortest path problems. Eur. J. Oper. Res. 274(2): 671-686 (2019) - [j32]André B. Chassein, Marc Goerigk, Jannis Kurtz, Michael Poss:
Faster algorithms for min-max-min robustness for combinatorial problems with budgeted uncertainty. Eur. J. Oper. Res. 279(2): 308-319 (2019) - [j31]Marc Goerigk, Martin Hughes:
Representative scenario construction and preprocessing for robust combinatorial optimization problems. Optim. Lett. 13(6): 1417-1431 (2019) - [j30]André B. Chassein, Marc Goerigk:
On the complexity of robust geometric programming with polyhedral uncertainty. Oper. Res. Lett. 47(1): 21-24 (2019) - 2018
- [j29]André B. Chassein, Marc Goerigk:
Variable-sized uncertainty and inverse problems in robust optimization. Eur. J. Oper. Res. 264(1): 17-28 (2018) - [j28]Marc Goerigk, Horst W. Hamacher, Anika Kinscherff:
Ranking robustness and its application to evacuation planning. Eur. J. Oper. Res. 264(3): 837-846 (2018) - [j27]André B. Chassein, Marc Goerigk, Adam Kasperski, Pawel Zielinski:
On recoverable and two-stage robust selection problems with budgeted uncertainty. Eur. J. Oper. Res. 265(2): 423-436 (2018) - [j26]Borzou Rostami, André B. Chassein, Michael Hopf, Davide Frey, Christoph Buchheim, Federico Malucelli, Marc Goerigk:
The quadratic shortest path problem: complexity, approximability, and solution methods. Eur. J. Oper. Res. 268(2): 473-485 (2018) - [j25]André B. Chassein, Marc Goerigk:
Compromise solutions for robust combinatorial optimization with variable-sized uncertainty. Eur. J. Oper. Res. 269(2): 544-555 (2018) - [j24]André B. Chassein, Marc Goerigk:
On scenario aggregation to approximate robust combinatorial optimization problems. Optim. Lett. 12(7): 1523-1533 (2018) - 2017
- [j23]André B. Chassein, Marc Goerigk:
Minmax regret combinatorial optimization problems with ellipsoidal uncertainty sets. Eur. J. Oper. Res. 258(1): 58-69 (2017) - [j22]Marc Goerigk, Marie Schmidt:
Line planning with user-optimal route choice. Eur. J. Oper. Res. 259(2): 424-436 (2017) - [j21]Emilio Carrizosa, Marc Goerigk, Anita Schöbel:
A biobjective approach to recoverable robustness based on location planning. Eur. J. Oper. Res. 261(2): 421-435 (2017) - 2016
- [j20]Marc Goerigk, Stephan Westphal:
A combined local search and integer programming approach to the traveling tournament problem. Ann. Oper. Res. 239(1): 343-354 (2016) - [j19]André B. Chassein, Marc Goerigk:
A bicriteria approach to robust optimization. Comput. Oper. Res. 66: 181-189 (2016) - [j18]Marc Goerigk, Horst W. Hamacher:
SI: disaster risk management. EURO J. Comput. Optim. 4(3-4): 215-217 (2016) - [j17]Marc Goerigk, Ismaila Abderhamane Ndiaye:
Robust flows with losses and improvability in evacuation planning. EURO J. Comput. Optim. 4(3-4): 241-270 (2016) - [j16]Marc Goerigk, Sigrid Knust, Xuan Thanh Le:
Robust storage loading problems with stacking and payload constraints. Eur. J. Oper. Res. 253(1): 51-67 (2016) - [j15]André B. Chassein, Marc Goerigk:
On the recoverable robust traveling salesman problem. Optim. Lett. 10(7): 1479-1492 (2016) - 2015
- [j14]Marc Goerigk, Manoj Gupta, Jonas Ide, Anita Schöbel, Sandeep Sen:
The robust knapsack problem with queries. Comput. Oper. Res. 55: 12-22 (2015) - [j13]André B. Chassein, Marc Goerigk:
A new bound for the midpoint solution in minmax regret optimization with an application to the robust shortest path problem. Eur. J. Oper. Res. 244(3): 739-747 (2015) - [j12]André B. Chassein, Marc Goerigk:
Alternative formulations for the ordered weighted averaging objective. Inf. Process. Lett. 115(6-8): 604-608 (2015) - [j11]Marc Goerigk:
Exact and heuristic approaches to the robust periodic event scheduling problem. Public Transp. 7(1): 101-119 (2015) - 2014
- [j10]Marc Goerigk:
A note on upper bounds to the robust knapsack problem with discrete scenarios. Ann. Oper. Res. 223(1): 461-469 (2014) - [j9]Marc Goerigk, Anita Schöbel:
Recovery-to-optimality: A new two-stage approach to robustness with an application to aperiodic timetabling. Comput. Oper. Res. 52: 1-15 (2014) - [j8]Marc Goerigk:
ROPI - a robust optimization programming interface for C++. Optim. Methods Softw. 29(6): 1261-1280 (2014) - [j7]Florian Bruns, Marc Goerigk, Sigrid Knust, Anita Schöbel:
Robust load planning of trains in intermodal transportation. OR Spectr. 36(3): 631-668 (2014) - [j6]Marc Goerigk, Bob Grün:
A robust bus evacuation model with delayed scenario information. OR Spectr. 36(4): 923-948 (2014) - [j5]Marc Goerigk, Marie Schmidt, Anita Schöbel, Martin Knoth, Matthias Müller-Hannemann:
The Price of Strict and Light Robustness in Timetable Information. Transp. Sci. 48(2): 225-242 (2014) - 2013
- [j4]Marc Goerigk, Anita Schöbel:
Improving the modulo simplex algorithm for large-scale periodic timetabling. Comput. Oper. Res. 40(5): 1363-1370 (2013) - [j3]Michael Siebert, Marc Goerigk:
An experimental comparison of periodic timetabling models. Comput. Oper. Res. 40(10): 2251-2259 (2013) - [j2]Marc Goerigk, Bob Grün, Philipp Heßler:
Branch and bound algorithms for the bus evacuation problem. Comput. Oper. Res. 40(12): 3010-3020 (2013) - [j1]Marc Goerigk, Michael Schachtebeck, Anita Schöbel:
Evaluating line concepts using travel times and robustness. Public Transp. 5(3): 267-284 (2013)
Conference and Workshop Papers
- 2024
- [c13]Kevin-Martin Aigner, Marc Goerigk, Michael Hartisch, Frauke Liers, Arthur Miehlich:
A Framework for Data-Driven Explainability in Mathematical Optimization. AAAI 2024: 20912-20920 - 2021
- [c12]Marc Goerigk, Anita Schöbel, Felix Spühler:
A Phase I Simplex Method for Finding Feasible Periodic Timetables. ATMOS 2021: 6:1-6:13 - 2019
- [c11]Francis Garuba, Marc Goerigk, Peter Jacko:
Robust Network Capacity Expansion with Non-Linear Costs. ATMOS 2019: 5:1-5:13 - [c10]Marc Goerigk, Adam Kasperski, Pawel Zielinski:
Solving Robust Two-Stage Combinatorial Optimization Problems Under Convex Uncertainty. OR 2019: 423-429 - 2017
- [c9]Marc Goerigk, Christian Liebchen:
An Improved Algorithm for the Periodic Timetabling Problem. ATMOS 2017: 12:1-12:14 - [c8]Trivikram Dokka, Marc Goerigk:
An Experimental Comparison of Uncertainty Sets for Robust Shortest Path Problems. ATMOS 2017: 16:1-16:13 - 2014
- [c7]Marc Goerigk, Richard Hoshino, Ken-ichi Kawarabayashi, Stephan Westphal:
Solving the Traveling Tournament Problem by Packing Three-Vertex Paths. AAAI 2014: 2271-2277 - [c6]Marc Goerigk, Yogish Sabharwal, Anita Schöbel, Sandeep Sen:
Approximation Algorithms for the Weight-Reducible Knapsack Problem. TAMC 2014: 203-215 - 2013
- [c5]Marc Goerigk, Sacha Heße, Matthias Müller-Hannemann, Marie Schmidt, Anita Schöbel:
Recoverable Robust Timetable Information. ATMOS 2013: 1-14 - 2011
- [c4]Marc Goerigk, Martin Knoth, Matthias Müller-Hannemann, Marie Schmidt, Anita Schöbel:
The Price of Robustness in Timetable Information. ATMOS 2011: 76-87 - [c3]Marc Goerigk, Anita Schöbel:
A Scenario-Based Approach for Robust Linear Optimization. TAPAS 2011: 139-150 - [c2]Marc Goerigk, Anita Schöbel:
Engineering the Modulo Network Simplex Heuristic for the Periodic Timetabling Problem. SEA 2011: 181-192 - 2010
- [c1]Marc Goerigk, Anita Schöbel:
An Empirical Analysis of Robustness Concepts for Timetabling. ATMOS 2010: 100-113
Parts in Books or Collections
- 2016
- [p1]Marc Goerigk, Anita Schöbel:
Algorithm Engineering in Robust Optimization. Algorithm Engineering 2016: 245-279
Editorship
- 2016
- [e1]Marc Goerigk, Renato F. Werneck:
16th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2016, August 25, 2016, Aarhus, Denmark. OASIcs 54, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2016, ISBN 978-3-95977-021-7 [contents]
Informal and Other Publications
- 2024
- [i31]Marc Goerigk, Michael Hartisch, Sebastian Merten, Kartikey Sharma:
Feature-Based Interpretable Surrogates for Optimization. CoRR abs/2409.01869 (2024) - [i30]Marc Goerigk, Michael Hartisch, Sebastian Merten:
Towards Robust Interpretable Surrogates for Optimization. CoRR abs/2412.01264 (2024) - 2023
- [i29]Marc Goerigk, Romain Guillaume, Adam Kasperski, Pawel Zielinski:
Robust optimization with belief functions. CoRR abs/2303.05067 (2023) - [i28]Kevin-Martin Aigner, Marc Goerigk, Michael Hartisch, Frauke Liers, Arthur Miehlich:
A Framework for Data-Driven Explainability in Mathematical Optimization. CoRR abs/2308.08309 (2023) - 2022
- [i27]Marc Goerigk, Mohammad Khosravi:
Benchmarking Problems for Robust Discrete Optimization. CoRR abs/2201.04985 (2022) - [i26]Matthew Bold, Marc Goerigk:
A faster exact method for solving the robust multi-mode resource-constrained project scheduling problem. CoRR abs/2203.06983 (2022) - [i25]Marc Goerigk, Jannis Kurtz:
Data-driven Prediction of Relevant Scenarios for Robust Optimization. CoRR abs/2203.16642 (2022) - [i24]Marc Goerigk, Michael Hartisch:
A Framework for Inherently Interpretable Optimization Models. CoRR abs/2208.12570 (2022) - [i23]Marc Goerigk, Stefan Lendl, Lasse Wulf:
On the Complexity of Robust Multi-Stage Problems in the Polynomial Hierarchy. CoRR abs/2209.01011 (2022) - 2021
- [i22]Marc Goerigk, Stefan Lendl, Lasse Wulf:
Two-Stage Robust Optimization Problems with Two-Stage Uncertainty. CoRR abs/2104.03043 (2021) - [i21]Matthew Bold, Marc Goerigk:
Recoverable Robust Single Machine Scheduling with Interval Uncertainty. CoRR abs/2107.09310 (2021) - [i20]Marc Goerigk, Stefan Lendl, Lasse Wulf:
On the Recoverable Traveling Salesman Problem. CoRR abs/2111.09691 (2021) - [i19]Marc Goerigk, Michael Hartisch:
Combinatorial Optimization Problems with Balanced Regret. CoRR abs/2111.12470 (2021) - 2020
- [i18]Matthew Bold, Marc Goerigk:
A compact reformulation of the two-stage robust resource-constrained project scheduling problem. CoRR abs/2004.06547 (2020) - [i17]Martin Hughes, Marc Goerigk, Trivikram Dokka:
Automatic Generation of Algorithms for Black-Box Robust Optimisation Problems. CoRR abs/2004.07294 (2020) - [i16]Marc Goerigk, Adam Kasperski, Pawel Zielinski:
Combinatorial two-stage minmax regret problems under interval uncertainty. CoRR abs/2005.10610 (2020) - [i15]Marc Goerigk, Stefan Lendl, Lasse Wulf:
Recoverable Robust Representatives Selection Problems with Discrete Budgeted Uncertainty. CoRR abs/2008.12727 (2020) - [i14]Matthew Bold, Marc Goerigk:
Recoverable Robust Single Machine Scheduling with Budgeted Uncertainty. CoRR abs/2011.06284 (2020) - [i13]Marc Goerigk, Jannis Kurtz:
Data-Driven Robust Optimization using Unsupervised Deep Learning. CoRR abs/2011.09769 (2020) - 2019
- [i12]Marc Goerigk, Adam Kasperski, Pawel Zielinski:
Robust two-stage combinatorial optimization problems under convex uncertainty. CoRR abs/1905.02469 (2019) - [i11]Dinah Elena Hollermann, Marc Goerigk, Dörthe Franzisca Hoffrogge, Maike Hennen, André Bardow:
Flexible here-and-now decisions for two-stage multi-objective optimization: Method and application to energy system design selection. CoRR abs/1906.08621 (2019) - [i10]Trivikram Dokka, Marc Goerigk:
The Multi-level Bottleneck Assignment Problem: Complexity and Solution Methods. CoRR abs/1910.12504 (2019) - 2018
- [i9]André B. Chassein, Marc Goerigk, Adam Kasperski, Pawel Zielinski:
Approximating multiobjective combinatorial optimization problems with the OWA criterion. CoRR abs/1804.03594 (2018) - [i8]Marc Goerigk, Stephen J. Maher:
Generating Hard Instances for Robust Combinatorial Optimization. CoRR abs/1811.00824 (2018) - [i7]Trivikram Dokka, Marc Goerigk, Rahul Roy:
Mixed Uncertainty Sets for Robust Combinatorial Optimization. CoRR abs/1812.04895 (2018) - [i6]Marc Goerigk, Adam Kasperski, Pawel Zielinski:
Two-stage Combinatorial Optimization Problems under Risk. CoRR abs/1812.07826 (2018) - 2017
- [i5]André B. Chassein, Marc Goerigk, Adam Kasperski, Pawel Zielinski:
On Recoverable and Two-Stage Robust Selection Problems with Budgeted Uncertainty. CoRR abs/1701.06064 (2017) - [i4]Trivikram Dokka, Marc Goerigk:
An Experimental Comparison of Uncertainty Sets for Robust Shortest Path Problems. CoRR abs/1704.08470 (2017) - 2016
- [i3]Marc Goerigk, Yogish Sabharwal, Anita Schöbel, Sandeep Sen:
Improvable Knapsack Problems. CoRR abs/1607.08338 (2016) - [i2]Marc Goerigk, André B. Chassein:
On Scenario Aggregation to Approximate Robust Optimization Problems. CoRR abs/1611.09754 (2016) - 2015
- [i1]Marc Goerigk, Anita Schöbel:
Algorithm Engineering in Robust Optimization. CoRR abs/1505.04901 (2015)
Coauthor Index
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