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85 Publications


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 | Book | LibreCat-ID: 48880
Grimme, Christian, and Jakob Bossek. Einführung in Die Optimierung - Konzepte, Methoden Und Anwendungen. Springer Vieweg, 2018. https://doi.org/10.1007/978-3-658-21151-6.
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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 | Journal Article | LibreCat-ID: 48866
Bossek, Jakob. “Grapherator: A Modular Multi-Step Graph Generator.” Journal of Open Source Software 3, no. 22 (2018): 528. https://doi.org/10.21105/joss.00528.
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2018 | Conference Paper | LibreCat-ID: 46348
Bossek, Jakob, Christian Grimme, Stephan Meisel, Guenter Rudolph, and Heike Trautmann. “Local Search Effects in Bi-Objective Orienteering.” In Proceedings of the Genetic and Evolutionary Computation Conference, 585–592. GECCO ’18. New York, NY, USA: ACM, 2018. https://doi.org/10.1145/3205455.3205548.
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2018 | Journal Article | LibreCat-ID: 46352
Kerschke, Pascal, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, and Heike Trautmann. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary Computation (ECJ) 26, no. 4 (2018): 597–620. https://doi.org/10.1162/evco_a_00215.
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2018 | Conference Paper | LibreCat-ID: 46349
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 (GECCO ’18) Companion, 1737–1744. Kyoto, Japan, 2018. https://doi.org/10.1145/3205651.3208233.
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2017 | Conference Paper | LibreCat-ID: 48863
Bossek, Jakob. “Ecr 2.0: A Modular Framework for Evolutionary Computation in R.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1187–1193. GECCO ’17. New York, NY, USA: Association for Computing Machinery, 2017. https://doi.org/10.1145/3067695.3082470.
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2017 | Conference Paper | LibreCat-ID: 48857
Bossek, Jakob, and Christian Grimme. “A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem.” In 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1–8, 2017. https://doi.org/10.1109/SSCI.2017.8285183.
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2017 | Conference Paper | LibreCat-ID: 48856
Bossek, Jakob, and Christian Grimme. “An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling.” In 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1–8, 2017. https://doi.org/10.1109/SSCI.2017.8285224.
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2017 | Journal Article | LibreCat-ID: 48864
Bossek, Jakob. “McMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem.” Journal of Open Source Software 2, no. 17 (2017): 374. https://doi.org/10.21105/joss.00374.
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2017 | Journal Article | LibreCat-ID: 48865
Bossek, Jakob. “Smoof: Single- and Multi-Objective Optimization Test Functions.” The R Journal 9, no. 1 (2017): 103–113.
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2017 | Journal Article | LibreCat-ID: 48837
Bischl, Bernd, Jakob Richter, Jakob Bossek, Daniel Horn, Janek Thomas, and Michel Lang. “MlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions.” CoRR, 2017.
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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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2016 | Conference Paper | LibreCat-ID: 48874
Bossek, Jakob, and Heike Trautmann. “Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference.” In Proceedings of the XV International Conference of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037, 3–12. AI*IA 2016. Berlin, Heidelberg: Springer-Verlag, 2016. https://doi.org/10.1007/978-3-319-49130-1_1.
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2016 | Conference Paper | LibreCat-ID: 46365
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 P Festa, M Sellmann, and J Vanschoren, 10079:48–59. Lecture Notes in Computer Science. Ischia, Italy: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-50349-3_4.
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2016 | Conference Paper | LibreCat-ID: 46366
Bossek, Jakob, and Heike Trautmann. “Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference.” In AI*IA 2016 Advances in Artificial Intelligence, edited by G Adorni, S Cagnoni, M Gori, and M Maratea, 10037:3–12. Lecture Notes in Computer Science. Cham: Springer, 2016. https://doi.org/10.1007/978-3-319-49130-1_1.
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2015 | Conference Paper | LibreCat-ID: 48838
Bossek, Jakob, Bernd Bischl, Tobias Wagner, and Günter Rudolph. “Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement.” In Proceedings of the Genetic and Evolutionary Computation Conference, 1319–1326. GECCO ’15. New York, NY, USA: Association for Computing Machinery, 2015. https://doi.org/10.1145/2739480.2754673.
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2015 | Conference Paper | LibreCat-ID: 48887
Meisel, Stephan, Christian Grimme, Jakob Bossek, Martin Wölck, Günter Rudolph, and Heike Trautmann. “Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle.” In Proceedings of the Genetic and Evolutionary Computation Conference , 425–432. GECCO’15. New York, NY, USA: Association for Computing Machinery, 2015. https://doi.org/10.1145/2739480.2754705.
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2015 | Conference Paper | LibreCat-ID: 46377
Meisel, Stephan, Christian Grimme, Jakob Bossek, Martin Wölck, Guenter Rudolph, and Heike Trautmann. “Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle.” In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), 425–432. Madrid, Spain, 2015. https://doi.org/10.1145/2739480.2754705.
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