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213 Publications
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.
LibreCat
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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.
LibreCat
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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.
LibreCat
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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.
LibreCat
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.
LibreCat
2016 | Conference Paper | LibreCat-ID: 46364
Blot, A, H Hoos, L Jourdan, M Marmion, and Heike Trautmann. “MO-ParamILS: A Multi-Objective Automatic Algorithm Configuration Framework.” In LION 2016: Learning and Intelligent Optimization, edited by Vanschooren et al. Joaquin, 10079:32–47. LNTCS. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-50349-3_3.
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2016 | Book Chapter | LibreCat-ID: 46363
Rudolph, G, O Schütze, and Heike Trautmann. “On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front.” In Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II, edited by G Squillero and P Burelli, 42–55. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-31153-1_4.
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2016 | Conference Paper | LibreCat-ID: 46369
Kerschke, Pascal, Hao Wang, Mike Preuss, Christian Grimme, André Deutz, Heike Trautmann, and Michael Emmerich. “Towards Analyzing Multimodality of Multiobjective Landscapes.” In Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV), 962–972. Lecture Notes in Computer Science. Edinburgh, Scotland: Springer, 2016. https://doi.org/10.1007/978-3-319-45823-6_90.
LibreCat
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2016 | Conference Paper | LibreCat-ID: 46367
Kerschke, Pascal, Mike Preuss, Simon Wessing, and Heike Trautmann. “Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models.” In Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation, 229–236. Denver, CO, USA, 2016. https://doi.org/10.1145/2908812.2908845.
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2016 | Journal Article | LibreCat-ID: 46371
Rudolph, G, O Schütze, C Grimme, C Domínguez-Medina, and Heike Trautmann. “Optimal Averaged Hausdorff Archives for Bi-Objective Problems: Theoretical and Numerical Results.” Computational Optimization and Applications (Comput. Optim. Appl.) 64, no. 2 (2016): 589–618. https://doi.org/10.1007/s10589-015-9815-8.
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2016 | Journal Article | LibreCat-ID: 46372
Schütze, O, Hernandez VA Sosa, Heike Trautmann, and G Rudolph. “The Hypervolume Based Directed Search Method for Multi-Objective Optimization Problems.” Journal of Heuristics 22, no. 3 (2016): 273–300. https://doi.org/10.1007/s10732-016-9310-0.
LibreCat
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2016 | Conference Paper | LibreCat-ID: 46368
Kerschke, Pascal, and Heike Trautmann. “The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems.” In Proceedings of the IEEE Congress on Evolutionary Computation (CEC). Vancouver, BC, Kanada, 2016. https://doi.org/10.1109/CEC.2016.7748359.
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2016 | Journal Article | LibreCat-ID: 46370
Neumann, F, and Heike Trautmann. “Working Group Report: Bridging the Gap Between Experiments and Theory Using Feature-Based Run-Time Analysis; Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211).” Dagstuhl Reports 5, no. 5 (2016): 78–79. https://doi.org/10.4230/DagRep.5.5.57.
LibreCat
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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.
LibreCat
| DOI
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.
LibreCat
| DOI
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: 46373
Chinnov, Andrey, Pascal Kerschke, Christian Meske, Stefan Stieglitz, and Heike Trautmann. “An Overview of Topic Discovery in Twitter Communication through Social Media Analytics.” In Proceedings of the 20$^th$ Americas Conference on Information Systems (AMCIS ’15), 1–10. Puerto Rico, 2015.
LibreCat
2015 | Conference Paper | LibreCat-ID: 46375
Kerschke, Pascal, Mike Preuss, Simon Wessing, and Heike Trautmann. “Detecting Funnel Structures by Means of Exploratory Landscape Analysis.” In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), edited by Sara Silva, 265–272. New York, NY, USA: ACM, 2015. https://doi.org/10.1145/2739480.2754642.
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