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145 Publications


2019 | Conference Paper | LibreCat-ID: 46337
J. Bossek and H. Trautmann, “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time,” in Learning and Intelligent Optimization, 2019, vol. 11353, pp. 215–219.
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2018 | Conference Paper | LibreCat-ID: 46350
J. E. van Engelen, J. J. van Lier, F. W. Takes, and H. Trautmann, “Accurate WiFi based indoor positioning with continuous location sampling,” in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), 2018, pp. 524–540.
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2018 | Journal Article | LibreCat-ID: 46351
M. Carnein and H. Trautmann, “evoStream — Evolutionary Stream Clustering Utilizing Idle Times,” Big Data Research, vol. 14, pp. 101–111, 2018, doi: 10.1016/j.bdr.2018.05.005.
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2018 | Journal Article | LibreCat-ID: 46353
L. Li, Y. Wang, H. Trautmann, N. Jing, and M. Emmerich, “Multiobjective evolutionary algorithms based on target region preferences,” Swarm and Evolutionary Computation, vol. 40, pp. 196–215, 2018, doi: 10.1016/j.swevo.2018.02.006.
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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 | Book Chapter | LibreCat-ID: 46355
S. H. V. Adrián, A. Lara, H. Trautmann, G. Rudolph, and O. Schütze, “The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems,” in NEO 15, O. Schütze, L. Trujillo, P. Legrand, and Y. Maldonado, Eds. Cham: Springer International Publishing, 2017, pp. 281–330.
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2017 | Conference Paper | LibreCat-ID: 46360
M. Carnein et al., “Towards Efficient and Informative Omni-Channel Customer Relationship Management,” in Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), 2017, vol. 10651, pp. 69–78, doi: 10.1007/978-3-319-70625-2_7.
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2017 | Conference Paper | LibreCat-ID: 46361
M. Carnein, L. Homann, H. Trautmann, G. Vossen, and K. Kraume, “Customer Service in Social Media — An Empirical Study of the Airline Industry,” in Proceedings of the 17$^th$ Conference on Database Systems for Business, Technology, and Web (BTW ’17), 2017, vol. P-266, pp. 33–40.
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2017 | Book Chapter | LibreCat-ID: 46356
L. Li, I. Yevseyeva, V. Basto-Fernandes, H. Trautmann, N. Jing, and M. Emmerich, “Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms,” in Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, and C. Grimme, Eds. Cham: Springer International Publishing, 2017, pp. 406–421.
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2017 | Book Chapter | LibreCat-ID: 46357
K. Tierney, J. Handali, C. Grimme, and H. Trautmann, “Multi-objective Optimization for Liner Shipping Fleet Repositioning,” in Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, and C. Grimme, Eds. Cham: Springer International Publishing, 2017, pp. 622–638.
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2017 | Conference Paper | LibreCat-ID: 46359
M. Carnein, D. Assenmacher, and H. Trautmann, “Stream Clustering of Chat Messages with Applications to Twitch Streams,” in Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), 2017, pp. 79–88, doi: 10.1007/978-3-319-70625-2_8.
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2017 | Journal Article | LibreCat-ID: 46362
C. Grimme, M. Preuss, L. Adam, and H. Trautmann, “Social Bots: Human-Like by Means of Human Control?,” Big Data, vol. 5, no. 4, pp. 279–293, 2017, doi: 10.1089/big.2017.0044.
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2017 | Conference Paper | LibreCat-ID: 46358
M. Carnein, D. Assenmacher, and H. Trautmann, “An Empirical Comparison of Stream Clustering Algorithms,” in Proceedings of the ACM International Conference on Computing Frontiers (CF ’17), 2017, pp. 361–365, doi: 10.1145/3075564.3078887.
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2016 | Conference Paper | LibreCat-ID: 46364
A. Blot, H. Hoos, L. Jourdan, M. Marmion, and H. Trautmann, “MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework,” in LION 2016: Learning and Intelligent Optimization, 2016, vol. 10079, pp. 32–47, doi: 10.1007/978-3-319-50349-3_3.
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2016 | Book Chapter | LibreCat-ID: 46363
G. Rudolph, O. Schütze, and H. 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, G. Squillero and P. Burelli, Eds. Cham: Springer International Publishing, 2016, pp. 42–55.
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2016 | Conference Paper | LibreCat-ID: 46369
P. Kerschke et al., “Towards Analyzing Multimodality of Multiobjective Landscapes,” in Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV), 2016, pp. 962–972, doi: 10.1007/978-3-319-45823-6_90.
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2016 | Conference Paper | LibreCat-ID: 46367
P. Kerschke, M. Preuss, S. Wessing, and H. Trautmann, “Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models,” in Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation, 2016, pp. 229–236, doi: 10.1145/2908812.2908845.
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2016 | Journal Article | LibreCat-ID: 46371
G. Rudolph, O. Schütze, C. Grimme, C. Domínguez-Medina, and H. Trautmann, “Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results,” Computational Optimization and Applications (Comput. Optim. Appl.), vol. 64, no. 2, pp. 589–618, 2016, doi: 10.1007/s10589-015-9815-8.
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