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149 Publications
2018 | Conference Paper | LibreCat-ID: 46350
van Engelen, J. E., et al. “Accurate WiFi Based Indoor Positioning with Continuous Location Sampling.” Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), Springer, 2018, pp. 524–540.
LibreCat
2018 | Journal Article | LibreCat-ID: 46351
Carnein, Matthias, and Heike Trautmann. “EvoStream — Evolutionary Stream Clustering Utilizing Idle Times.” Big Data Research, vol. 14, 2018, pp. 101–111, doi:10.1016/j.bdr.2018.05.005.
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 46353
Li, L., et al. “Multiobjective Evolutionary Algorithms Based on Target Region Preferences.” Swarm and Evolutionary Computation, vol. 40, 2018, pp. 196–215, doi:10.1016/j.swevo.2018.02.006.
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 46348
Bossek, Jakob, et al. “Local Search Effects in Bi-Objective Orienteering.” Proceedings of the Genetic and Evolutionary Computation Conference, ACM, 2018, pp. 585–592, doi:10.1145/3205455.3205548.
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 46352
Kerschke, Pascal, et al. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary Computation (ECJ), vol. 26, no. 4, 2018, pp. 597–620, doi:10.1162/evco_a_00215.
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 46349
Kerschke, Pascal, et al. “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers.” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’18) Companion, 2018, pp. 1737–1744, doi:10.1145/3205651.3208233.
LibreCat
| DOI
2017 | Book Chapter | LibreCat-ID: 46355
Adrián, Sosa Hernández V., et al. “The Directed Search Method for Unconstrained Parameter Dependent Multi-Objective Optimization Problems.” NEO 15, edited by O Schütze et al., Springer International Publishing, 2017, pp. 281–330, doi:10.1007/978-3-319-44003-3_12.
LibreCat
| DOI
2017 | Conference Paper | LibreCat-ID: 46360
Carnein, Matthias, et al. “Towards Efficient and Informative Omni-Channel Customer Relationship Management.” Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), edited by Sergio de Cesare and Frank Ulrich, vol. 10651, Springer International Publishing, 2017, pp. 69–78, doi:10.1007/978-3-319-70625-2_7.
LibreCat
| DOI
2017 | Conference Paper | LibreCat-ID: 46361
Carnein, Matthias, et al. “Customer Service in Social Media — An Empirical Study of the Airline Industry.” Proceedings of the 17$^th$ Conference on Database Systems for Business, Technology, and Web (BTW ’17), edited by Norbert Ritter et al., vol. P-266, Gesellschaft für Informatik, 2017, pp. 33–40.
LibreCat
2017 | Book Chapter | LibreCat-ID: 46356
Li, L., et al. “Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms.” Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited by H Trautmann et al., Springer International Publishing, 2017, pp. 406–421, doi:10.1007/978-3-319-54157-0_28.
LibreCat
| DOI
2017 | Book Chapter | LibreCat-ID: 46357
Tierney, K., et al. “Multi-Objective Optimization for Liner Shipping Fleet Repositioning.” Evolutionary Multi-Criterion Optimization: 9$^th$ International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings, edited by H Trautmann et al., Springer International Publishing, 2017, pp. 622–638, doi:10.1007/978-3-319-54157-0_42.
LibreCat
| DOI
2017 | Conference Paper | LibreCat-ID: 46359
Carnein, Matthias, et al. “Stream Clustering of Chat Messages with Applications to Twitch Streams.” Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), edited by Sergio de Cesare and Frank Ulrich, Springer International Publishing, 2017, pp. 79–88, doi:10.1007/978-3-319-70625-2_8.
LibreCat
| DOI
2017 | Journal Article | LibreCat-ID: 46362
Grimme, C., et al. “Social Bots: Human-Like by Means of Human Control?” Big Data, vol. 5, no. 4, 2017, pp. 279–293, doi:10.1089/big.2017.0044.
LibreCat
| DOI
2017 | Conference Paper | LibreCat-ID: 46358
Carnein, Matthias, et al. “An Empirical Comparison of Stream Clustering Algorithms.” Proceedings of the ACM International Conference on Computing Frontiers (CF ’17), 2017, pp. 361–365, doi:10.1145/3075564.3078887.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 46364
Blot, A., et al. “MO-ParamILS: A Multi-Objective Automatic Algorithm Configuration Framework.” LION 2016: Learning and Intelligent Optimization, edited by Vanschooren et al. Joaquin, vol. 10079, Springer International Publishing, 2016, pp. 32–47, doi:10.1007/978-3-319-50349-3_3.
LibreCat
| DOI
2016 | Book Chapter | LibreCat-ID: 46363
Rudolph, G., et al. “On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front.” 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, Springer International Publishing, 2016, pp. 42–55, doi:10.1007/978-3-319-31153-1_4.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 46369
Kerschke, Pascal, et al. “Towards Analyzing Multimodality of Multiobjective Landscapes.” Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV), Springer, 2016, pp. 962–972, doi:10.1007/978-3-319-45823-6_90.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 46367
Kerschke, Pascal, et al. “Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models.” Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation, 2016, pp. 229–236, doi:10.1145/2908812.2908845.
LibreCat
| DOI
2016 | Journal Article | LibreCat-ID: 46371
Rudolph, G., et al. “Optimal Averaged Hausdorff Archives for Bi-Objective Problems: Theoretical and Numerical Results.” Computational Optimization and Applications (Comput. Optim. Appl.), vol. 64, no. 2, 2016, pp. 589–618, doi:10.1007/s10589-015-9815-8.
LibreCat
| DOI
2016 | Journal Article | LibreCat-ID: 46372
Schütze, O., et al. “The Hypervolume Based Directed Search Method for Multi-Objective Optimization Problems.” Journal of Heuristics, vol. 22, no. 3, 2016, pp. 273–300, doi:10.1007/s10732-016-9310-0.
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