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33 Publications
2024 | Journal Article | LibreCat-ID: 54548
Exploratory Landscape Analysis for Mixed-Variable Problems
R.P. Prager, H. Trautmann, IEEE Transactions on Evolutionary Computation (2024) 1–1.
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| DOI
R.P. Prager, H. Trautmann, IEEE Transactions on Evolutionary Computation (2024) 1–1.
2024 | Preprint | LibreCat-ID: 56298 | 
Symmetry Preservation in Swarms of Oblivious Robots with Limited Visibility
R. Gerlach, S. von der Gracht, C. Hahn, J. Harbig, P. Kling, ArXiv:2409.19277 (n.d.).
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| arXiv
R. Gerlach, S. von der Gracht, C. Hahn, J. Harbig, P. Kling, ArXiv:2409.19277 (n.d.).
2023 | Conference Paper | LibreCat-ID: 37312 |
Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time
D. Leffrang, K. Bösch, O. Müller, in: Hawaii International Conference on System Sciences, 2023.
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D. Leffrang, K. Bösch, O. Müller, in: Hawaii International Conference on System Sciences, 2023.
2023 | Conference Paper | LibreCat-ID: 50121
AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization
D. Leffrang, in: International Conference on Information Systems, 2023.
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D. Leffrang, in: International Conference on Information Systems, 2023.
2023 | Conference Paper | LibreCat-ID: 50118
The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect of Unobserved Variables on Advice Utilization
D. Leffrang, in: Wirtschaftsinformatik Conference, 2023.
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D. Leffrang, in: Wirtschaftsinformatik Conference, 2023.
2023 | Journal Article | LibreCat-ID: 46310
A study on the effects of normalized TSP features for automated algorithm selection
J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, P. Kerschke, Theoretical Computer Science 940 (2023) 123–145.
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| DOI
J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, P. Kerschke, Theoretical Computer Science 940 (2023) 123–145.
2023 | Book Chapter | LibreCat-ID: 54428
Normative Diversität? Nahe Zukunft bei Sibylle Berg und Marc-Uwe Kling
S. Schulte Eickholt, in: L. Cosan, O.K. Bazarkaya, H. Tekin (Eds.), Germanistik im Wandel 1. Neue Einsichten und Perspektiven in der Literaturwissenschaft, Logos, Berlin, 2023, pp. 65–75.
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S. Schulte Eickholt, in: L. Cosan, O.K. Bazarkaya, H. Tekin (Eds.), Germanistik im Wandel 1. Neue Einsichten und Perspektiven in der Literaturwissenschaft, Logos, Berlin, 2023, pp. 65–75.
2021 | Book Chapter | LibreCat-ID: 48881
On the Potential of Normalized TSP Features for Automated Algorithm Selection
J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, P. Kerschke, in: Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, New York, NY, USA, 2021, pp. 1–15.
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J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, P. Kerschke, in: Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, New York, NY, USA, 2021, pp. 1–15.
2020 | Conference Paper | LibreCat-ID: 48897
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, H. Trautmann, in: Parallel Problem Solving from {Nature} (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 48–64.
LibreCat
| DOI
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, H. Trautmann, in: Parallel Problem Solving from {Nature} (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 48–64.
2020 | Journal Article | LibreCat-ID: 48848
A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020).
LibreCat
| DOI
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020).
2020 | Journal Article | LibreCat-ID: 46334
A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020) 105901.
LibreCat
| DOI
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020) 105901.
2019 | Journal Article | LibreCat-ID: 6512 |
Using High Performance Computing for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm
G. Rauchecker, G. Schryen, Computers & Operations Research (2019) 338–357.
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G. Rauchecker, G. Schryen, Computers & Operations Research (2019) 338–357.
2019 | Conference Paper | LibreCat-ID: 48875
Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time
J. Bossek, H. Trautmann, in: R. Battiti, M. Brunato, I. Kotsireas, P.M. Pardalos (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Cham, 2019, pp. 215–219.
LibreCat
| DOI
J. Bossek, H. Trautmann, in: R. Battiti, M. Brunato, I. Kotsireas, P.M. Pardalos (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Cham, 2019, pp. 215–219.
2018 | Conference Paper | LibreCat-ID: 3422
Breaking the $\tilde\Omega(\sqrt{n})$ Barrier: Fast Consensus under a Late Adversary
P. Robinson, C. Scheideler, A. Setzer, in: Proceedings of the 30th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), n.d.
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| DOI
P. Robinson, C. Scheideler, A. Setzer, in: Proceedings of the 30th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), n.d.
2018 | Conference Paper | LibreCat-ID: 48885
Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers
P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1737–1744.
LibreCat
| DOI
P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1737–1744.
2018 | Journal Article | LibreCat-ID: 48884
Leveraging TSP Solver Complementarity through Machine Learning
P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary Computation 26 (2018) 597–620.
LibreCat
| DOI
P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary Computation 26 (2018) 597–620.
2018 | Conference Paper | LibreCat-ID: 1590
A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices
M. Lass, S. Mohr, H. Wiebeler, T. Kühne, C. Plessl, in: Proc. Platform for Advanced Scientific Computing (PASC) Conference, ACM, New York, NY, USA, 2018.
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| DOI
| arXiv
M. Lass, S. Mohr, H. Wiebeler, T. Kühne, C. Plessl, in: Proc. Platform for Advanced Scientific Computing (PASC) Conference, ACM, New York, NY, USA, 2018.
2017 | Conference Paper | LibreCat-ID: 17652
Filtering Undesirable Flows in Networks
G. Polevoy, S. Trajanovski, P. Grosso, C. de Laat, in: Combinatorial Optimization and Applications: 11th International Conference, COCOA 2017, Shanghai, China, December 16-18, 2017, Proceedings, Part I, Springer International Publishing, Cham, 2017, pp. 3–17.
LibreCat
| DOI
G. Polevoy, S. Trajanovski, P. Grosso, C. de Laat, in: Combinatorial Optimization and Applications: 11th International Conference, COCOA 2017, Shanghai, China, December 16-18, 2017, Proceedings, Part I, Springer International Publishing, Cham, 2017, pp. 3–17.
2016 | Conference Paper | LibreCat-ID: 48873
Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers
J. Bossek, H. Trautmann, in: P. Festa, M. Sellmann, J. Vanschoren (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Cham, 2016, pp. 48–59.
LibreCat
| DOI
J. Bossek, H. Trautmann, in: P. Festa, M. Sellmann, J. Vanschoren (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Cham, 2016, pp. 48–59.
2014 | Conference Paper | LibreCat-ID: 9879
PEM fuel cell prognostics using particle filter with model parameter adaptation
J.K. Kimotho, T. Meyer, W. Sextro, in: Prognostics and Health Management (PHM), 2014 IEEE Conference On, 2014, pp. 1–6.
LibreCat
| DOI
J.K. Kimotho, T. Meyer, W. Sextro, in: Prognostics and Health Management (PHM), 2014 IEEE Conference On, 2014, pp. 1–6.