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197 Publications
2017 | Conference Paper | LibreCat-ID: 46361
Carnein M, Homann L, Trautmann H, Vossen G, Kraume K. Customer Service in Social Media — An Empirical Study of the Airline Industry. In: Ritter N, Schwarz H, Klettke M, Thor A, Kopp O, Bernhard MW, eds. Proceedings of the 17$^th$ Conference on Database Systems for Business, Technology, and Web (BTW ’17). Vol P-266. Lecture Notes in Informatics (LNI). Gesellschaft für Informatik; 2017:33–40.
LibreCat
2017 | Book Chapter | LibreCat-ID: 46356
Li L, Yevseyeva I, Basto-Fernandes V, Trautmann H, Jing N, Emmerich M. Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms. In: Trautmann H, Rudolph G, Klamroth K, et al., eds. Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings. Springer International Publishing; 2017:406–421. doi:10.1007/978-3-319-54157-0_28
LibreCat
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2017 | Book Chapter | LibreCat-ID: 46357
Tierney K, Handali J, Grimme C, Trautmann H. Multi-objective Optimization for Liner Shipping Fleet Repositioning. In: Trautmann H, Rudolph G, Klamroth K, et al., eds. Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings. Springer International Publishing; 2017:622–638. doi:10.1007/978-3-319-54157-0_42
LibreCat
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2017 | Conference Paper | LibreCat-ID: 46359
Carnein M, Assenmacher D, Trautmann H. Stream Clustering of Chat Messages with Applications to Twitch Streams. In: de Cesare S, Ulrich F, eds. Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17). Springer International Publishing; 2017:79–88. doi:10.1007/978-3-319-70625-2_8
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2017 | Journal Article | LibreCat-ID: 46362
Grimme C, Preuss M, Adam L, Trautmann H. Social Bots: Human-Like by Means of Human Control? Big Data. 2017;5(4):279–293. doi:10.1089/big.2017.0044
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2017 | Conference Paper | LibreCat-ID: 46358
Carnein M, Assenmacher D, Trautmann H. An Empirical Comparison of Stream Clustering Algorithms. In: Proceedings of the ACM International Conference on Computing Frontiers (CF ’17). ; 2017:361–365. doi:10.1145/3075564.3078887
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2017 | Conference Paper | LibreCat-ID: 48863
Bossek J. Ecr 2.0: A Modular Framework for Evolutionary Computation in R. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO ’17. Association for Computing Machinery; 2017:1187–1193. doi:10.1145/3067695.3082470
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2017 | Conference Paper | LibreCat-ID: 48857
Bossek J, Grimme C. A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). ; 2017:1–8. doi:10.1109/SSCI.2017.8285183
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2017 | Conference Paper | LibreCat-ID: 48856
Bossek J, Grimme C. An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). ; 2017:1–8. doi:10.1109/SSCI.2017.8285224
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2017 | Journal Article | LibreCat-ID: 48864
Bossek J. mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem. Journal of Open Source Software. 2017;2(17):374. doi:10.21105/joss.00374
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2017 | Journal Article | LibreCat-ID: 48865
Bossek J. Smoof: Single- and Multi-Objective Optimization Test Functions. The R Journal. 2017;9(1):103–113.
LibreCat
2017 | Journal Article | LibreCat-ID: 48837
Bischl B, Richter J, Bossek J, Horn D, Thomas J, Lang M. mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions. CoRR. Published online 2017.
LibreCat
2016 | Conference Paper | LibreCat-ID: 46364
Blot A, Hoos H, Jourdan L, Marmion M, Trautmann H. MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. In: et al. Joaquin V, ed. LION 2016: Learning and Intelligent Optimization. Vol 10079. LNTCS. Springer International Publishing; 2016:32–47. doi:10.1007/978-3-319-50349-3_3
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2016 | Book Chapter | LibreCat-ID: 46363
Rudolph G, Schütze O, Trautmann H. On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. In: Squillero G, Burelli P, eds. Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II. Springer International Publishing; 2016:42–55. doi:10.1007/978-3-319-31153-1_4
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2016 | Conference Paper | LibreCat-ID: 46369
Kerschke P, Wang H, Preuss M, et al. Towards Analyzing Multimodality of Multiobjective Landscapes. In: Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV). Lecture Notes in Computer Science. Springer; 2016:962–972. doi:10.1007/978-3-319-45823-6_90
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2016 | Conference Paper | LibreCat-ID: 46367
Kerschke P, Preuss M, Wessing S, Trautmann H. Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models. In: Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation. ; 2016:229–236. doi:10.1145/2908812.2908845
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2016 | Journal Article | LibreCat-ID: 46371
Rudolph G, Schütze O, Grimme C, Domínguez-Medina C, Trautmann H. Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. Computational Optimization and Applications (Comput Optim Appl). 2016;64(2):589–618. doi:10.1007/s10589-015-9815-8
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2016 | Journal Article | LibreCat-ID: 46372
Schütze O, Sosa HV, Trautmann H, Rudolph G. The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems. Journal of Heuristics. 2016;22(3):273–300. doi:10.1007/s10732-016-9310-0
LibreCat
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2016 | Conference Paper | LibreCat-ID: 46368
Kerschke P, Trautmann H. 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). ; 2016. doi:10.1109/CEC.2016.7748359
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| DOI
2016 | Journal Article | LibreCat-ID: 46370
Neumann F, Trautmann H. 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. 2016;5(5):78–79. doi:10.4230/DagRep.5.5.57
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