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204 Publications
2016 | Conference Paper | LibreCat-ID: 46367
Kerschke P, Preuss M, Wessing S, Trautmann H. Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models. In: Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation. ; 2016:229–236. doi:10.1145/2908812.2908845
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2016 | Journal Article | LibreCat-ID: 46371
Rudolph G, Schütze O, Grimme C, Domínguez-Medina C, Trautmann H. Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. Computational Optimization and Applications (Comput Optim Appl). 2016;64(2):589–618. doi:10.1007/s10589-015-9815-8
LibreCat
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2016 | Journal Article | LibreCat-ID: 46372
Schütze O, Sosa HV, Trautmann H, Rudolph G. The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems. Journal of Heuristics. 2016;22(3):273–300. doi:10.1007/s10732-016-9310-0
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2016 | Conference Paper | LibreCat-ID: 46368
Kerschke P, Trautmann H. The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC). ; 2016. doi:10.1109/CEC.2016.7748359
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2016 | Journal Article | LibreCat-ID: 46370
Neumann F, Trautmann H. 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. 2016;5(5):78–79. doi:10.4230/DagRep.5.5.57
LibreCat
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2016 | Conference Paper | LibreCat-ID: 48873
Bossek J, Trautmann H. Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers. In: Festa P, Sellmann M, Vanschoren J, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2016:48–59. doi:10.1007/978-3-319-50349-3_4
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2016 | Conference Paper | LibreCat-ID: 48874
Bossek J, Trautmann H. Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference. In: Proceedings of the XV International Conference of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence - Volume 10037. AI*IA 2016. Springer-Verlag; 2016:3–12. doi:10.1007/978-3-319-49130-1_1
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2016 | Conference Paper | LibreCat-ID: 46365
Bossek J, Trautmann H. Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers. In: Festa P, Sellmann M, Vanschoren J, eds. Learning and Intelligent Optimization. Vol 10079. Lecture Notes in Computer Science. Springer International Publishing; 2016:48–59. doi:10.1007/978-3-319-50349-3_4
LibreCat
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2016 | Conference Paper | LibreCat-ID: 46366
Bossek J, Trautmann H. Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference. In: Adorni G, Cagnoni S, Gori M, Maratea M, eds. AI*IA 2016 Advances in Artificial Intelligence. Vol 10037. Lecture Notes in Computer Science. Springer; 2016:3–12. doi:10.1007/978-3-319-49130-1_1
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2015 | Conference Paper | LibreCat-ID: 46373
Chinnov A, Kerschke P, Meske C, Stieglitz S, Trautmann H. 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). ; 2015:1–10.
LibreCat
2015 | Conference Paper | LibreCat-ID: 46375
Kerschke P, Preuss M, Wessing S, Trautmann H. Detecting Funnel Structures by Means of Exploratory Landscape Analysis. In: Silva S, ed. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15). ACM; 2015:265–272. doi:10.1145/2739480.2754642
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2015 | Conference Paper | LibreCat-ID: 46376
Kotthoff L, Kerschke P, Hoos H, Trautmann H. Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection. In: Dhaenens C, Jourdan L, Marmion M-E, eds. Learning and Intelligent Optimization. Springer International Publishing; 2015:202–217.
LibreCat
2015 | Journal Article | LibreCat-ID: 46379
Brockhoff D, Wagner T, Trautmann H. R2 Indicator Based Multiobjective Search. Evolutionary Computation Journal. 2015;23(3):369–395. doi:10.1162/EVCO_a_00135
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2015 | Conference Paper | LibreCat-ID: 46374
Grimme C, Meisel S, Trautmann H, Rudolph G, Wölck M. Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle. In: Proceedings of the European Conference On Information Systems. ; 2015.
LibreCat
2015 | Journal Article | LibreCat-ID: 46380
Mersmann O, Preuss M, Trautmann H, Bischl B, Weihs C. Analyzing the BBOB Results by Means of Benchmarking Concepts. Evolutionary Computation Journal. 2015;23(1):161–185.
LibreCat
2015 | Conference Paper | LibreCat-ID: 48838
Bossek J, Bischl B, Wagner T, Rudolph G. Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’15. Association for Computing Machinery; 2015:1319–1326. doi:10.1145/2739480.2754673
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2015 | Conference Paper | LibreCat-ID: 48887
Meisel S, Grimme C, Bossek J, Wölck M, Rudolph G, Trautmann H. 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. Association for Computing Machinery; 2015:425–432. doi:10.1145/2739480.2754705
LibreCat
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2015 | Conference Paper | LibreCat-ID: 46377
Meisel S, Grimme C, Bossek J, Wölck M, Rudolph G, Trautmann H. 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). ; 2015:425–432. doi:10.1145/2739480.2754705
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2014 | Book Chapter | LibreCat-ID: 46381
Kerschke P, Preuss M, Hernández C, et al. Cell Mapping Techniques for Exploratory Landscape Analysis. In: Tantar A-A, Tantar E, Sun J-Q, et al., eds. EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V. Vol 288. Advances in Intelligent Systems and Computing. Springer International Publishing; 2014:115–131. doi:10.1007/978-3-319-07494-8_9
LibreCat
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2014 | Book Chapter | LibreCat-ID: 46382
Rudolph G, Schütze O, Grimme C, Trautmann H. A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets. In: Tantar A, Tantar E, Sun J, et al., eds. EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V. Vol 288. Advances in Intelligent Systems and Computing. Springer International Publishing; 2014:261–273. doi:10.1007/978-3-319-07494-8_18
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