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204 Publications


2018 | Conference Paper | LibreCat-ID: 46348
Bossek J, Grimme C, Meisel S, Rudolph G, Trautmann H. Local Search Effects in Bi-Objective Orienteering. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’18. ACM; 2018:585–592. doi:10.1145/3205455.3205548
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2018 | Journal Article | LibreCat-ID: 46352
Kerschke P, Kotthoff L, Bossek J, Hoos HH, Trautmann H. Leveraging TSP Solver Complementarity through Machine Learning. Evolutionary Computation (ECJ). 2018;26(4):597–620. doi:10.1162/evco_a_00215
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2018 | Conference Paper | LibreCat-ID: 46349
Kerschke P, Bossek J, Trautmann H. 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. ; 2018:1737–1744. doi:10.1145/3205651.3208233
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2017 | Book Chapter | LibreCat-ID: 46355
Adrián SHV, Lara A, Trautmann H, Rudolph G, Schütze O. The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems. In: Schütze O, Trujillo L, Legrand P, Maldonado Y, eds. NEO 15. Springer International Publishing; 2017:281–330. doi:10.1007/978-3-319-44003-3_12
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2017 | Conference Paper | LibreCat-ID: 46360
Carnein M, Heuchert M, Homann L, et al. Towards Efficient and Informative Omni-Channel Customer Relationship Management. In: de Cesare S, Ulrich F, eds. Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17). Vol 10651. Lecture Notes in Computer Science. Springer International Publishing; 2017:69–78. doi:10.1007/978-3-319-70625-2_7
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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.
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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
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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
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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.
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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.
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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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