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1556 Publications
2020 | Book Chapter | LibreCat-ID: 29413
Flaßkamp K, Ober-Blöbaum S, Peitz S. Symmetry in optimal control: A multiobjective model predictive control approach. In: Junge O, Schütze O, Froyland G, Ober-Blöbaum S, Padberg-Gehle K, eds. Advances in Dynamics, Optimization and Computation. Springer International Publishing; 2020:209-237.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46328
Prager RP, Trautmann H, Wang H, Bäck THW, Kerschke P. Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. In: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI). ; 2020:996–1003. doi:10.1109/SSCI47803.2020.9308510
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| DOI
2020 | Conference Paper | LibreCat-ID: 46326
Carnein M, Trautmann H, Bifet A, Pfahringer B. confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. In: Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020). ; 2020:80–95. doi: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. Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. In: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI). ; 2020:2445–2452. doi:10.1109/SSCI47803.2020.9308259
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| DOI
2020 | Journal Article | LibreCat-ID: 21369
Protte M, Fahr R, Quevedo DE. Behavioral Economics for Human-in-the-loop Control Systems Design: Overconfidence and the hot hand fallacy. IEEE Control Systems Magazine. 2020;40(6):57-76. doi:10.1109/MCS.2020.3019723
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2020 | Book Chapter | LibreCat-ID: 17994
Gerlach R, Ziessler A. The Approximation of Invariant Sets in Infinite Dimensional Dynamical Systems. In: Junge O, Schütze O, Ober-Blöbaum S, Padberg-Gehle K, eds. Advances in Dynamics, Optimization and Computation. Vol 304. Studies in Systems, Decision and Control. Springer International Publishing; 2020:66-85. doi: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. More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’20. Association for Computing Machinery; 2020:1277–1285. doi: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. Evolving Sampling Strategies for One-Shot Optimization Tasks. In: Parallel Problem Solving from Nature (PPSN XVI). Springer-Verlag; 2020:111–124. doi:10.1007/978-3-030-58112-1_8
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| DOI
2020 | Conference Paper | LibreCat-ID: 48851
Bossek J, Casel K, Kerschke P, Neumann F. The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’20. Association for Computing Machinery; 2020:1286–1294. doi:10.1145/3377930.3390243
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| DOI
2020 | Conference Paper | LibreCat-ID: 48845
Bossek J, Grimme C, Trautmann H. Dynamic Bi-Objective Routing of Multiple Vehicles. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’20. Association for Computing Machinery; 2020:166–174. doi:10.1145/3377930.3390146
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| DOI
2020 | Conference Paper | LibreCat-ID: 48844
Bossek J, Kerschke P, Trautmann H. Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. In: 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE Press; 2020:1–8. doi:10.1109/CEC48606.2020.9185613
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| DOI
2020 | Conference Paper | LibreCat-ID: 48850
Bossek J, Doerr C, Kerschke P. Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’20. Association for Computing Machinery; 2020:778–786. doi:10.1145/3377930.3390155
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| DOI
2020 | Conference Paper | LibreCat-ID: 48895
Roostapour V, Bossek J, Neumann F. Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem. In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference. {GECCO} ’20. Association for Computing Machinery; 2020:551–559. doi:10.1145/3377930.3390168
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| DOI
2020 | Journal Article | LibreCat-ID: 48848
Bossek J, Kerschke P, Trautmann H. A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms. Applied Soft Computing. 2020;88(C). doi: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, et al. Benchmarking in Optimization: Best Practice and Open Issues. Corr. Published online 2020.
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2020 | Journal Article | LibreCat-ID: 47476 | 
Altenhöner R, Blümel I, Boehm F, et al. NFDI4Culture - Consortium for research data on material and immaterial cultural heritage. Research Ideas and Outcomes. 2020;6. doi:10.3897/rio.6.e57036
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2020 | Book Review | LibreCat-ID: 51561
Hilgert J. Robert Bosch: OPT ART – From Mathematical Optimization to Visual Design. Princeton University Press 2019. Mathematische Semesterberichte. 2020;67:123–124. doi: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 FJ. A novel optimization model for designing compact, balanced, and contiguous healthcare districts. Journal of the Operational Research Society. 2020;71(11):1740-1759. doi:10.1080/01605682.2019.1621217
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| DOI
2020 | Journal Article | LibreCat-ID: 46334
Bossek J, Kerschke P, Trautmann H. A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. Applied Soft Computing. 2020;88:105901. doi: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. Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC). IEEE; 2020:1–8.
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