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85 Publications


2018 | Conference Paper | LibreCat-ID: 48885
Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers
P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1737–1744.
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2018 | Book | LibreCat-ID: 48880
Einführung in die Optimierung - Konzepte, Methoden und Anwendungen
C. Grimme, J. Bossek, Einführung in Die Optimierung - Konzepte, Methoden Und Anwendungen, Springer Vieweg, 2018.
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2018 | Journal Article | LibreCat-ID: 48884
Leveraging TSP Solver Complementarity through Machine Learning
P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary Computation 26 (2018) 597–620.
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2018 | Journal Article | LibreCat-ID: 48866
Grapherator: A Modular Multi-Step Graph Generator
J. Bossek, Journal of Open Source Software 3 (2018) 528.
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2018 | Conference Paper | LibreCat-ID: 46348
Local Search Effects in Bi-Objective Orienteering
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, ACM, New York, NY, USA, 2018, pp. 585–592.
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2018 | Journal Article | LibreCat-ID: 46352
Leveraging TSP Solver Complementarity through Machine Learning
P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary Computation (ECJ) 26 (2018) 597–620.
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2018 | Conference Paper | LibreCat-ID: 46349
Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers
P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’18) Companion, Kyoto, Japan, 2018, pp. 1737–1744.
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2017 | Conference Paper | LibreCat-ID: 48863
Ecr 2.0: A Modular Framework for Evolutionary Computation in R
J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2017, pp. 1187–1193.
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2017 | Conference Paper | LibreCat-ID: 48857
A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem
J. Bossek, C. Grimme, in: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8.
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2017 | Conference Paper | LibreCat-ID: 48856
An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling
J. Bossek, C. Grimme, in: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8.
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2017 | Journal Article | LibreCat-ID: 48864
mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem
J. Bossek, Journal of Open Source Software 2 (2017) 374.
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2017 | Journal Article | LibreCat-ID: 48865
Smoof: Single- and Multi-Objective Optimization Test Functions
J. Bossek, The R Journal 9 (2017) 103–113.
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2017 | Journal Article | LibreCat-ID: 48837
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions
B. Bischl, J. Richter, J. Bossek, D. Horn, J. Thomas, M. Lang, CoRR (2017).
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2016 | Conference Paper | LibreCat-ID: 48873
Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers
J. Bossek, H. Trautmann, in: P. Festa, M. Sellmann, J. Vanschoren (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Cham, 2016, pp. 48–59.
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2016 | Conference Paper | LibreCat-ID: 48874
Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference
J. Bossek, H. Trautmann, in: Proceedings of the XV International Conference of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037, Springer-Verlag, Berlin, Heidelberg, 2016, pp. 3–12.
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2016 | Conference Paper | LibreCat-ID: 46365
Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers
J. Bossek, H. Trautmann, in: P. Festa, M. Sellmann, J. Vanschoren (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Ischia, Italy, 2016, pp. 48–59.
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2016 | Conference Paper | LibreCat-ID: 46366
Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference
J. Bossek, H. Trautmann, in: G. Adorni, S. Cagnoni, M. Gori, M. Maratea (Eds.), AI*IA 2016 Advances in Artificial Intelligence, Springer, Cham, 2016, pp. 3–12.
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2015 | Conference Paper | LibreCat-ID: 48838
Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement
J. Bossek, B. Bischl, T. Wagner, G. Rudolph, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2015, pp. 1319–1326.
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2015 | Conference Paper | LibreCat-ID: 48887
Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle
S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference , Association for Computing Machinery, New York, NY, USA, 2015, pp. 425–432.
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2015 | Conference Paper | LibreCat-ID: 46377
Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle
S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), Madrid, Spain, 2015, pp. 425–432.
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