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196 Publications


2017 | Conference Paper | LibreCat-ID: 46359
Stream Clustering of Chat Messages with Applications to Twitch Streams
M. Carnein, D. Assenmacher, H. Trautmann, in: S. de Cesare, F. Ulrich (Eds.), Proceedings of the 36$^th$ International Conference on Conceptual Modeling (ER’17), Springer International Publishing, Valencia, Spain, 2017, pp. 79–88.
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2017 | Journal Article | LibreCat-ID: 46362
Social Bots: Human-Like by Means of Human Control?
C. Grimme, M. Preuss, L. Adam, H. Trautmann, Big Data 5 (2017) 279–293.
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2017 | Conference Paper | LibreCat-ID: 46358
An Empirical Comparison of Stream Clustering Algorithms
M. Carnein, D. Assenmacher, H. Trautmann, in: Proceedings of the ACM International Conference on Computing Frontiers (CF ’17), Siena, Italy, 2017, pp. 361–365.
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2017 | Conference Paper | LibreCat-ID: 48863
Ecr 2.0: A Modular Framework for Evolutionary Computation in R
J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2017, pp. 1187–1193.
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2017 | Conference Paper | LibreCat-ID: 48857
A Pareto-Beneficial Sub-Tree Mutation for the Multi-Criteria Minimum Spanning Tree Problem
J. Bossek, C. Grimme, in: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8.
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2017 | Conference Paper | LibreCat-ID: 48856
An Extended Mutation-Based Priority-Rule Integration Concept for Multi-Objective Machine Scheduling
J. Bossek, C. Grimme, in: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1–8.
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2017 | Journal Article | LibreCat-ID: 48864
mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem
J. Bossek, Journal of Open Source Software 2 (2017) 374.
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2017 | Journal Article | LibreCat-ID: 48865
Smoof: Single- and Multi-Objective Optimization Test Functions
J. Bossek, The R Journal 9 (2017) 103–113.
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2017 | Journal Article | LibreCat-ID: 48837
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions
B. Bischl, J. Richter, J. Bossek, D. Horn, J. Thomas, M. Lang, CoRR (2017).
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2016 | Conference Paper | LibreCat-ID: 46364
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework
A. Blot, H. Hoos, L. Jourdan, M. Marmion, H. Trautmann, in: V. et al. Joaquin (Ed.), LION 2016: Learning and Intelligent Optimization, Springer International Publishing, Cham, 2016, pp. 32–47.
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2016 | Book Chapter | LibreCat-ID: 46363
On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front
G. Rudolph, O. Schütze, H. Trautmann, in: G. Squillero, P. Burelli (Eds.), Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II, Springer International Publishing, Cham, 2016, pp. 42–55.
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2016 | Conference Paper | LibreCat-ID: 46369
Towards Analyzing Multimodality of Multiobjective Landscapes
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann, M. Emmerich, in: Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV), Springer, Edinburgh, Scotland, 2016, pp. 962–972.
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2016 | Conference Paper | LibreCat-ID: 46367
Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models
P. Kerschke, M. Preuss, S. Wessing, H. Trautmann, in: Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation, Denver, CO, USA, 2016, pp. 229–236.
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2016 | Journal Article | LibreCat-ID: 46371
Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results
G. Rudolph, O. Schütze, C. Grimme, C. Domínguez-Medina, H. Trautmann, Computational Optimization and Applications (Comput. Optim. Appl.) 64 (2016) 589–618.
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2016 | Journal Article | LibreCat-ID: 46372
The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems
O. Schütze, H.V. Sosa, H. Trautmann, G. Rudolph, Journal of Heuristics 22 (2016) 273–300.
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2016 | Conference Paper | LibreCat-ID: 46368
The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems
P. Kerschke, H. Trautmann, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, Kanada, 2016.
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2016 | Conference Paper | LibreCat-ID: 48873
Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers
J. Bossek, H. Trautmann, in: P. Festa, M. Sellmann, J. Vanschoren (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Cham, 2016, pp. 48–59.
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2016 | Conference Paper | LibreCat-ID: 48874
Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference
J. Bossek, H. Trautmann, in: Proceedings of the XV International Conference of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037, Springer-Verlag, Berlin, Heidelberg, 2016, pp. 3–12.
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2016 | Conference Paper | LibreCat-ID: 46365
Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers
J. Bossek, H. Trautmann, in: P. Festa, M. Sellmann, J. Vanschoren (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Ischia, Italy, 2016, pp. 48–59.
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