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1556 Publications
2020 | Book Chapter | LibreCat-ID: 29413
Flaßkamp, K., Ober-Blöbaum, S., & Peitz, S. (2020). Symmetry in optimal control: A multiobjective model predictive control approach. In O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, & K. Padberg-Gehle (Eds.), Advances in Dynamics, Optimization and Computation (pp. 209–237). Springer International Publishing.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46328
Prager, R. P., Trautmann, H., Wang, H., Bäck, T. H. W., & Kerschke, P. (2020). Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 996–1003. https://doi.org/10.1109/SSCI47803.2020.9308510
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| DOI
2020 | Conference Paper | LibreCat-ID: 46326
Carnein, M., Trautmann, H., Bifet, A., & Pfahringer, B. (2020). confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 80–95. https://doi.org/10.1007/978-3-030-53552-0_10
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| DOI
2020 | Conference Paper | LibreCat-ID: 46332
Steinhoff, V., Kerschke, P., Aspar, P., Trautmann, H., & Grimme, C. (2020). Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2445–2452. https://doi.org/10.1109/SSCI47803.2020.9308259
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| DOI
2020 | Journal Article | LibreCat-ID: 21369
Protte, M., Fahr, R., & Quevedo, D. E. (2020). Behavioral Economics for Human-in-the-loop Control Systems Design: Overconfidence and the hot hand fallacy. IEEE Control Systems Magazine, 40(6), 57–76. https://doi.org/10.1109/MCS.2020.3019723
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2020 | Book Chapter | LibreCat-ID: 17994
Gerlach, R., & Ziessler, A. (2020). The Approximation of Invariant Sets in Infinite Dimensional Dynamical Systems. In O. Junge, O. Schütze, S. Ober-Blöbaum, & K. Padberg-Gehle (Eds.), Advances in Dynamics, Optimization and Computation (Vol. 304, pp. 66–85). Springer International Publishing. https://doi.org/10.1007/978-3-030-51264-4_3
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2020 | Conference Paper | LibreCat-ID: 48847
Bossek, J., Neumann, F., Peng, P., & Sudholt, D. (2020). More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization. Proceedings of the Genetic and Evolutionary Computation Conference, 1277–1285. https://doi.org/10.1145/3377930.3390174
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| DOI
2020 | Conference Paper | LibreCat-ID: 48849
Bossek, J., Doerr, C., Kerschke, P., Neumann, A., & Neumann, F. (2020). Evolving Sampling Strategies for One-Shot Optimization Tasks. Parallel Problem Solving from Nature (PPSN XVI), 111–124. https://doi.org/10.1007/978-3-030-58112-1_8
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2020 | Conference Paper | LibreCat-ID: 48851
Bossek, J., Casel, K., Kerschke, P., & Neumann, F. (2020). The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics. Proceedings of the Genetic and Evolutionary Computation Conference, 1286–1294. https://doi.org/10.1145/3377930.3390243
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| DOI
2020 | Conference Paper | LibreCat-ID: 48845
Bossek, J., Grimme, C., & Trautmann, H. (2020). Dynamic Bi-Objective Routing of Multiple Vehicles. Proceedings of the Genetic and Evolutionary Computation Conference, 166–174. https://doi.org/10.1145/3377930.3390146
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| DOI
2020 | Conference Paper | LibreCat-ID: 48844
Bossek, J., Kerschke, P., & Trautmann, H. (2020). Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. 2020 IEEE Congress on Evolutionary Computation (CEC), 1–8. https://doi.org/10.1109/CEC48606.2020.9185613
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| DOI
2020 | Conference Paper | LibreCat-ID: 48850
Bossek, J., Doerr, C., & Kerschke, P. (2020). Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB. Proceedings of the Genetic and Evolutionary Computation Conference, 778–786. https://doi.org/10.1145/3377930.3390155
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| DOI
2020 | Conference Paper | LibreCat-ID: 48895
Roostapour, V., Bossek, J., & Neumann, F. (2020). Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem. Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 551–559. https://doi.org/10.1145/3377930.3390168
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| DOI
2020 | Journal Article | LibreCat-ID: 48848
Bossek, J., Kerschke, P., & Trautmann, H. (2020). A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms. Applied Soft Computing, 88(C). https://doi.org/10.1016/j.asoc.2019.105901
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| DOI
2020 | Journal Article | LibreCat-ID: 48836
Bartz-Beielstein, T., Doerr, C., van den Berg, D., Bossek, J., Chandrasekaran, S., Eftimov, T., Fischbach, A., Kerschke, P., Cava, W. L., Lopez-Ibanez, M., Malan, K. M., Moore, J. H., Naujoks, B., Orzechowski, P., Volz, V., Wagner, M., & Weise, T. (2020). Benchmarking in Optimization: Best Practice and Open Issues. Corr.
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2020 | Journal Article | LibreCat-ID: 47476 | 
Altenhöner, R., Blümel, I., Boehm, F., Bove, J., Bicher, K., Bracht, C., Brand, O., Dieckmann, L., Effinger, M., Hagener, M., Hammes, A., Heller, L., Kailus, A., Kohle, H., Ludwig, J., Münzmay, A., Pittroff, S., Razum, M., Röwenstrunk, D., … Wiermann, B. (2020). NFDI4Culture - Consortium for research data on material and immaterial cultural heritage. Research Ideas and Outcomes, 6. https://doi.org/10.3897/rio.6.e57036
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2020 | Book Review | LibreCat-ID: 51561
Hilgert, J. (2020). Robert Bosch: OPT ART – From Mathematical Optimization to Visual Design. Princeton University Press 2019. In Mathematische Semesterberichte (Vol. 67, pp. 123–124). https://doi.org/10.1007/s00591-020-00272-6
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| DOI
2020 | Journal Article | LibreCat-ID: 53889
Farughi, H., Tavana, M., Mostafayi, S., & Santos Arteaga, F. J. (2020). A novel optimization model for designing compact, balanced, and contiguous healthcare districts. Journal of the Operational Research Society, 71(11), 1740–1759. https://doi.org/10.1080/01605682.2019.1621217
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2020 | Journal Article | LibreCat-ID: 46334
Bossek, J., Kerschke, P., & Trautmann, H. (2020). A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. Applied Soft Computing, 88, 105901. https://doi.org/10.1016/j.asoc.2019.105901
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| DOI
2020 | Conference Paper | LibreCat-ID: 46324
Bossek, J., Kerschke, P., & Trautmann, H. (2020). Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 1–8.
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