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85 Publications


2018 | Conference Paper | LibreCat-ID: 48885
P. Kerschke, J. Bossek, and H. 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, 2018, pp. 1737–1744, doi: 10.1145/3205651.3208233.
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2018 | Book | LibreCat-ID: 48880
C. Grimme and J. Bossek, Einführung in die Optimierung - Konzepte, Methoden und Anwendungen. Springer Vieweg, 2018.
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2018 | Journal Article | LibreCat-ID: 48884
P. Kerschke, L. Kotthoff, J. Bossek, H. H. Hoos, and H. Trautmann, “Leveraging TSP Solver Complementarity through Machine Learning,” Evolutionary Computation, vol. 26, no. 4, pp. 597–620, 2018, doi: 10.1162/evco_a_00215.
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2018 | Journal Article | LibreCat-ID: 48866
J. Bossek, “Grapherator: A Modular Multi-Step Graph Generator,” Journal of Open Source Software, vol. 3, no. 22, p. 528, 2018, doi: 10.21105/joss.00528.
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2018 | Conference Paper | LibreCat-ID: 46348
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Local Search Effects in Bi-Objective Orienteering,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2018, pp. 585–592, doi: 10.1145/3205455.3205548.
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2018 | Journal Article | LibreCat-ID: 46352
P. Kerschke, L. Kotthoff, J. Bossek, H. H. Hoos, and H. Trautmann, “Leveraging TSP Solver Complementarity through Machine Learning,” Evolutionary Computation (ECJ), vol. 26, no. 4, pp. 597–620, 2018, doi: 10.1162/evco_a_00215.
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2018 | Conference Paper | LibreCat-ID: 46349
P. Kerschke, J. Bossek, and H. 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, 2018, pp. 1737–1744, doi: 10.1145/3205651.3208233.
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2017 | Conference Paper | LibreCat-ID: 48863
J. Bossek, “Ecr 2.0: A Modular Framework for Evolutionary Computation in R,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017, pp. 1187–1193, doi: 10.1145/3067695.3082470.
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2017 | Conference Paper | LibreCat-ID: 48857
J. Bossek and C. Grimme, “A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem,” in 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8, doi: 10.1109/SSCI.2017.8285183.
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2017 | Conference Paper | LibreCat-ID: 48856
J. Bossek and C. Grimme, “An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling,” in 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8, doi: 10.1109/SSCI.2017.8285224.
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2017 | Journal Article | LibreCat-ID: 48864
J. Bossek, “mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem,” Journal of Open Source Software, vol. 2, no. 17, p. 374, 2017, doi: 10.21105/joss.00374.
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2017 | Journal Article | LibreCat-ID: 48865
J. Bossek, “Smoof: Single- and Multi-Objective Optimization Test Functions,” The R Journal, vol. 9, no. 1, pp. 103–113, 2017.
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2017 | Journal Article | LibreCat-ID: 48837
B. Bischl, J. Richter, J. Bossek, D. Horn, J. Thomas, and M. 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
J. Bossek and H. Trautmann, “Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers,” in Learning and Intelligent Optimization, 2016, pp. 48–59, doi: 10.1007/978-3-319-50349-3_4.
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2016 | Conference Paper | LibreCat-ID: 48874
J. Bossek and H. 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, 2016, pp. 3–12, doi: 10.1007/978-3-319-49130-1_1.
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2016 | Conference Paper | LibreCat-ID: 46365
J. Bossek and H. Trautmann, “Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers,” in Learning and Intelligent Optimization, 2016, vol. 10079, pp. 48–59, doi: 10.1007/978-3-319-50349-3_4.
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2016 | Conference Paper | LibreCat-ID: 46366
J. Bossek and H. 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, 2016, vol. 10037, pp. 3–12, doi: 10.1007/978-3-319-49130-1_1.
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2015 | Conference Paper | LibreCat-ID: 48838
J. Bossek, B. Bischl, T. Wagner, and G. Rudolph, “Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2015, pp. 1319–1326, doi: 10.1145/2739480.2754673.
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2015 | Conference Paper | LibreCat-ID: 48887
S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, and H. 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 , 2015, pp. 425–432, doi: 10.1145/2739480.2754705.
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2015 | Conference Paper | LibreCat-ID: 46377
S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, and H. 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), 2015, pp. 425–432, doi: 10.1145/2739480.2754705.
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