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145 Publications
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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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| DOI
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.
LibreCat
| DOI
2016 | Journal Article | LibreCat-ID: 46372
O. Schütze, H. V. Sosa, H. Trautmann, and G. Rudolph, “The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems,” Journal of Heuristics, vol. 22, no. 3, pp. 273–300, 2016, doi: 10.1007/s10732-016-9310-0.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 46368
P. Kerschke and H. Trautmann, “The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems,” 2016, doi: 10.1109/CEC.2016.7748359.
LibreCat
| DOI
2016 | Journal Article | LibreCat-ID: 46370
F. Neumann and H. Trautmann, “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, vol. 5, no. 5, pp. 78–79, 2016, doi: 10.4230/DagRep.5.5.57.
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| DOI
2016 | Conference Paper | LibreCat-ID: 46365
J. Bossek and H. Trautmann, “Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers,” in Learning and Intelligent Optimization, 2016, vol. 10079, pp. 48–59, doi: 10.1007/978-3-319-50349-3_4.
LibreCat
| DOI
2016 | Conference Paper | LibreCat-ID: 46366
J. Bossek and H. Trautmann, “Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference,” in AI*IA 2016 Advances in Artificial Intelligence, 2016, vol. 10037, pp. 3–12, doi: 10.1007/978-3-319-49130-1_1.
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2015 | Conference Paper | LibreCat-ID: 46373
A. Chinnov, P. Kerschke, C. Meske, S. Stieglitz, and H. Trautmann, “An Overview of Topic Discovery in Twitter Communication through Social Media Analytics,” in Proceedings of the 20$^th$ Americas Conference on Information Systems (AMCIS ’15), 2015, pp. 1–10.
LibreCat
2015 | Conference Paper | LibreCat-ID: 46375
P. Kerschke, M. Preuss, S. Wessing, and H. Trautmann, “Detecting Funnel Structures by Means of Exploratory Landscape Analysis,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), 2015, pp. 265–272, doi: 10.1145/2739480.2754642.
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| DOI
2015 | Conference Paper | LibreCat-ID: 46376
L. Kotthoff, P. Kerschke, H. Hoos, and H. Trautmann, “Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection,” in Learning and Intelligent Optimization, 2015, pp. 202–217.
LibreCat
2015 | Journal Article | LibreCat-ID: 46379
D. Brockhoff, T. Wagner, and H. Trautmann, “R2 Indicator Based Multiobjective Search,” Evolutionary Computation Journal, vol. 23, no. 3, pp. 369–395, 2015, doi: 10.1162/EVCO_a_00135.
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| DOI
2015 | Conference Paper | LibreCat-ID: 46374
C. Grimme, S. Meisel, H. Trautmann, G. Rudolph, and M. Wölck, “Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle,” 2015.
LibreCat
2015 | Journal Article | LibreCat-ID: 46380
O. Mersmann, M. Preuss, H. Trautmann, B. Bischl, and C. Weihs, “Analyzing the BBOB Results by Means of Benchmarking Concepts,” Evolutionary Computation Journal, vol. 23, no. 1, pp. 161–185, 2015.
LibreCat
2015 | Conference Paper | LibreCat-ID: 46377
S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, and H. Trautmann, “Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15), 2015, pp. 425–432, doi: 10.1145/2739480.2754705.
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| DOI
2014 | Book Chapter | LibreCat-ID: 46381
P. Kerschke et al., “Cell Mapping Techniques for Exploratory Landscape Analysis,” in EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, vol. 288, A.-A. Tantar, E. Tantar, J.-Q. Sun, W. Zhang, Q. Ding, O. Schütze, M. T. M. Emmerich, P. Legrand, M. P. Del, and C. C. A. Coello, Eds. Cham: Springer International Publishing, 2014, pp. 115–131.
LibreCat
| DOI
2014 | Book Chapter | LibreCat-ID: 46382
G. Rudolph, O. Schütze, C. Grimme, and H. Trautmann, “A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets,” in EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, vol. 288, A. Tantar, E. Tantar, J. Sun, W. Zhang, Q. Ding, O. Schütze, M. Emmerich, P. Legrand, M. P. Del, and C. C. Coello, Eds. Springer International Publishing, 2014, pp. 261–273.
LibreCat
| DOI
2014 | Conference Paper | LibreCat-ID: 46383
G. Rudolph, C. Grimme, O. Schütze, and H. Trautmann, “An Aspiration Set EMOA Based on Averaged Hausdorff Distances,” in Proceedings of the Learning and Intelligent OptimizatioN Conference (LION 8), 2014, vol. 8426, pp. 153–156.
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