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33 Publications
2025 | Conference Paper | LibreCat-ID: 56298 | 
Gerlach, Raphael, Sören von der Gracht, Christopher Hahn, Jonas Harbig, and Peter Kling. “Symmetry Preservation in Swarms of Oblivious Robots with Limited Visibility.” In 28th International Conference on Principles of Distributed Systems (OPODIS 2024), edited by Silvia Bonomi, Letterio Galletta, Etienne Rivière, and Valerio Schiavoni, Vol. 324. Leibniz International Proceedings in Informatics (LIPIcs). Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, 2025. https://doi.org/10.4230/LIPIcs.OPODIS.2024.13.
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| arXiv
2024 | Journal Article | LibreCat-ID: 54548
Prager, Raphael Patrick, and Heike Trautmann. “Exploratory Landscape Analysis for Mixed-Variable Problems.” IEEE Transactions on Evolutionary Computation, 2024, 1–1. https://doi.org/10.1109/TEVC.2024.3399560.
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2023 | Conference Paper | LibreCat-ID: 37312 |
Leffrang, Dirk, Kevin Bösch, and Oliver Müller. “Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time.” In Hawaii International Conference on System Sciences, 2023.
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2023 | Conference Paper | LibreCat-ID: 50121
Leffrang, Dirk. “AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization.” In International Conference on Information Systems, 2023.
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2023 | Conference Paper | LibreCat-ID: 50118
Leffrang, Dirk. “The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect of Unobserved Variables on Advice Utilization.” In Wirtschaftsinformatik Conference, 2023.
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2023 | Journal Article | LibreCat-ID: 46310
Heins, Jonathan, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, and Pascal Kerschke. “A Study on the Effects of Normalized TSP Features for Automated Algorithm Selection.” Theoretical Computer Science 940 (2023): 123–45. https://doi.org/10.1016/j.tcs.2022.10.019.
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2023 | Book Chapter | LibreCat-ID: 54428
Schulte Eickholt, Swen. “Normative Diversität? Nahe Zukunft bei Sibylle Berg und Marc-Uwe Kling.” In Germanistik im Wandel 1. Neue Einsichten und Perspektiven in der Literaturwissenschaft, edited by Leyla Cosan, Onur Kemal Bazarkaya, and Habib Tekin, 65–75. Berlin: Logos, 2023.
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2021 | Book Chapter | LibreCat-ID: 48881
Heins, Jonathan, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, and Pascal Kerschke. “On the Potential of Normalized TSP Features for Automated Algorithm Selection.” In Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 1–15. New York, NY, USA: Association for Computing Machinery, 2021.
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2020 | Conference Paper | LibreCat-ID: 48897
Seiler, Moritz, Janina Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” In Parallel Problem Solving from {Nature} (PPSN XVI), 48–64. Berlin, Heidelberg: Springer-Verlag, 2020. https://doi.org/10.1007/978-3-030-58112-1_4.
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2020 | Journal Article | LibreCat-ID: 48848
Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” Applied Soft Computing 88, no. C (2020). https://doi.org/10.1016/j.asoc.2019.105901.
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2020 | Journal Article | LibreCat-ID: 46334
Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” Applied Soft Computing 88 (2020): 105901. https://doi.org/10.1016/j.asoc.2019.105901.
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2019 | Journal Article | LibreCat-ID: 6512 |
Rauchecker, Gerhard, and Guido Schryen. “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.” Computers & Operations Research, no. 104 (2019): 338–57.
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2019 | Conference Paper | LibreCat-ID: 48875
Bossek, Jakob, and Heike Trautmann. “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time.” In Learning and Intelligent Optimization, edited by Roberto Battiti, Mauro Brunato, Ilias Kotsireas, and Panos M. Pardalos, 215–219. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-05348-2_19.
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2018 | Conference Paper | LibreCat-ID: 3422
Robinson, Peter, Christian Scheideler, and Alexander Setzer. “Breaking the $\tilde\Omega(\sqrt{n})$ Barrier: Fast Consensus under a Late Adversary.” In Proceedings of the 30th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), n.d. https://doi.org/10.1145/3210377.3210399.
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2018 | Conference Paper | LibreCat-ID: 48885
Kerschke, Pascal, Jakob Bossek, and Heike Trautmann. “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1737–1744. GECCO’18. New York, NY, USA: Association for Computing Machinery, 2018. https://doi.org/10.1145/3205651.3208233.
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2018 | Journal Article | LibreCat-ID: 48884
Kerschke, Pascal, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, and Heike Trautmann. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary Computation 26, no. 4 (2018): 597–620. https://doi.org/10.1162/evco_a_00215.
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2018 | Conference Paper | LibreCat-ID: 1590
Lass, Michael, Stephan Mohr, Hendrik Wiebeler, Thomas Kühne, and Christian Plessl. “A Massively Parallel Algorithm for the Approximate Calculation of Inverse P-Th Roots of Large Sparse Matrices.” In Proc. Platform for Advanced Scientific Computing (PASC) Conference. New York, NY, USA: ACM, 2018. https://doi.org/10.1145/3218176.3218231.
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| arXiv
2017 | Conference Paper | LibreCat-ID: 17652
Polevoy, Gleb, Stojan Trajanovski, Paola Grosso, and Cees de Laat. “Filtering Undesirable Flows in Networks.” In Combinatorial Optimization and Applications: 11th International Conference, COCOA 2017, Shanghai, China, December 16-18, 2017, Proceedings, Part I, 3–17. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-71150-8_1.
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2016 | Conference Paper | LibreCat-ID: 48873
Bossek, Jakob, and Heike Trautmann. “Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers.” In Learning and Intelligent Optimization, edited by Paola Festa, Meinolf Sellmann, and Joaquin Vanschoren, 48–59. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-50349-3_4.
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2014 | Conference Paper | LibreCat-ID: 9879
Kimotho, James Kuria , Tobias Meyer, and Walter Sextro. “PEM Fuel Cell Prognostics Using Particle Filter with Model Parameter Adaptation.” In Prognostics and Health Management (PHM), 2014 IEEE Conference On, 1–6, 2014. https://doi.org/10.1109/ICPHM.2014.7036406.
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