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ORCIDHeike Trautmann
Person information
- affiliation: Paderborn University, Department of Computer Science, Paderborn, Germany
- affiliation (former): University of Münster, Department for Information Systems, Münster, Germany
- affiliation (former, PhD 2004): Dortmund University, Department of Computational Statistics, Dortmund, Germany
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2020 – today
- 2025
[j30]Raphael Patrick Prager
, Heike Trautmann:
Exploratory Landscape Analysis for Mixed-Variable Problems. IEEE Trans. Evol. Comput. 29(4): 936-947 (2025)- [j29]Angel E. Rodriguez-Fernandez, Lennart Schäpermeier, Carlos Hernández, Pascal Kerschke, Heike Trautmann, Oliver Schütze:
Finding ϵ-Locally Optimal Solutions for Multiobjective Multimodal Optimization. IEEE Trans. Evol. Comput. 29(5): 2019-2031 (2025) - [c98]Diederick Vermetten, Jeroen Rook, Oliver L. Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, Thomas Bäck:
MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler. EMO (1) 2025: 242-256 - [c97]Jeroen Rook, Quentin Renau, Heike Trautmann, Emma Hart:
Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances. FOGA 2025: 262-272 - [c96]Oliver Ludger Preuß, Carolin Mensendiek, Jeroen Rook, Jakob Bossek, Heike Trautmann:
Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes. GECCO 2025: 58-66 - [c95]Moritz Vinzent Seiler, Oliver Ludger Preuß, Heike Trautmann:
RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces. GECCO 2025: 76-84 - [c94]Elias Schede, Moritz Seiler, Kevin Tierney, Heike Trautmann:
Deep reinforcement learning for instance-specific algorithm configuration. GECCO 2025: 1190-1198 - 2024
- [j28]Raphael Patrick Prager, Heike Trautmann:
Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evol. Comput. 32(3): 211-216 (2024) - [c93]Oliver Ludger Preuß, Jeroen Rook, Heike Trautmann:
On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. EvoApplications@EvoStar 2024: 305-321 - [c92]Jeroen Rook, Holger H. Hoos, Heike Trautmann:
Multi-objective Ranking using Bootstrap Resampling. GECCO Companion 2024: 155-158 - [c91]Moritz Seiler, Urban Skvorc, Carola Doerr, Heike Trautmann:
Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection. LION 2024: 361-376 - [c90]Moritz Seiler, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, Heike Trautmann:
Learned Features vs. Classical ELA on Affine BBOB Functions. PPSN (2) 2024: 137-153 - [c89]Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann:
Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization. PPSN (2) 2024: 154-169 - [e7]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15148, Springer 2024, ISBN 978-3-031-70054-5 [contents] - [e6]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15149, Springer 2024, ISBN 978-3-031-70067-5 [contents] - [e5]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15150, Springer 2024, ISBN 978-3-031-70070-5 [contents] - [e4]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15151, Springer 2024, ISBN 978-3-031-70084-2 [contents] - [i21]Moritz Vinzent Seiler, Pascal Kerschke, Heike Trautmann:
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems. CoRR abs/2401.01192 (2024) - [i20]Raphael Patrick Prager, Heike Trautmann:
Exploratory Landscape Analysis for Mixed-Variable Problems. CoRR abs/2402.16467 (2024) - [i19]Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann:
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization. CoRR abs/2407.07439 (2024) - [i18]Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, Thomas Bäck:
MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler. CoRR abs/2412.07444 (2024) - 2023
- [j27]Pelin Aspar, Vera Steinhoff, Lennart Schäpermeier, Pascal Kerschke, Heike Trautmann, Christian Grimme:
The objective that freed me: a multi-objective local search approach for continuous single-objective optimization. Nat. Comput. 22(2): 271-285 (2023) - [j26]Jonathan Heins, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, Pascal Kerschke:
A study on the effects of normalized TSP features for automated algorithm selection. Theor. Comput. Sci. 940(Part): 123-145 (2023) - [c88]Lennart Schäpermeier, Pascal Kerschke, Christian Grimme, Heike Trautmann:
Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. EMO 2023: 291-304 - [c87]Raphael Patrick Prager, Heike Trautmann:
Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. EvoApplications@EvoStar 2023: 411-425 - [c86]Raphael Patrick Prager, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, Olaf Mersmann:
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. FOGA 2023: 129-139 - [c85]Raphael Patrick Prager, Heike Trautmann:
Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems. GECCO Companion 2023: 451-454 - [c84]Moritz Vinzent Seiler, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, Heike Trautmann:
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. SSCI 2023: 361-368 - 2022
- [j25]Agatha S. Rodrigues, Pascal Kerschke, Carlos Alberto De Bragança Pereira, Heike Trautmann, Carolin Wagner, Bernd Hellingrath, Adriano Polpo:
Estimation of component reliability from superposed renewal processes by means of latent variables. Comput. Stat. 37(1): 355-379 (2022) - [j24]Agatha S. Rodrigues, Pascal Kerschke, Carlos Alberto De Bragança Pereira, Heike Trautmann, Carolin Wagner, Bernd Hellingrath, Adriano Polpo:
Correction to: Estimation of component reliability from superposed renewal processes by means of latent variables. Comput. Stat. 37(1): 381 (2022) - [c83]Dennis Assenmacher, Heike Trautmann:
Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption. ACIIDS (1) 2022: 3-16 - [c82]Jeroen Rook, Heike Trautmann, Jakob Bossek, Christian Grimme:
On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems. GECCO Companion 2022: 356-359 - [c81]Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, Heike Trautmann:
A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes. GECCO 2022: 657-665 - [c80]Janina Susanne Pohl, Dennis Assenmacher, Moritz Vinzent Seiler, Heike Trautmann, Christian Grimme:
Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches. ICWSM Workshops 2022 - [c79]Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, Pascal Kerschke:
Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods. PPSN (1) 2022: 3-17 - [c78]Jonathan Heins, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek, Heike Trautmann:
BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. PPSN (1) 2022: 192-206 - [c77]Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke:
HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. PPSN (1) 2022: 575-589 - [i17]Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, Heike Trautmann:
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes. CoRR abs/2204.05752 (2022) - [i16]Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke:
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. CoRR abs/2208.00220 (2022) - 2021
- [j23]Christian Grimme, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Mike Preuss, André H. Deutz, Hao Wang, Michael Emmerich:
Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization. Comput. Oper. Res. 136: 105489 (2021) - [j22]Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann:
Introduction to the special issue of the ECML PKDD 2021 journal track. Data Min. Knowl. Discov. 35(6): 2540-2541 (2021) - [j21]Crispin R. Coombs, Patrick Stacey, Peter Kawalek, Boyka Simeonova, Jörg Becker, Katrin Bergener, João Álvaro Carvalho, Marcelo Fantinato, Niels F. Garmann-Johnsen, Christian Grimme, Armin Stein, Heike Trautmann:
What is it about humanity that we can't give away to intelligent machines? A European perspective. Int. J. Inf. Manag. 58: 102311 (2021) - [j20]Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann:
Introduction to the special issue of the ECML PKDD 2021 journal track. Mach. Learn. 110(10): 2991-2992 (2021) - [c76]Pelin Aspar, Pascal Kerschke, Vera Steinhoff, Heike Trautmann, Christian Grimme:
Multi3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-objective Space by Means of Multiobjectivization. EMO 2021: 311-322 - [c75]Jonathan Heins, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, Pascal Kerschke:
On the potential of normalized TSP features for automated algorithm selection. FOGA 2021: 7:1-7:15 - [c74]Dennis Assenmacher, Marco Niemann, Kilian Müller, Moritz Seiler, Dennis M. Riehle, Heike Trautmann:
RP-Mod&RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets. NeurIPS Datasets and Benchmarks 2021 - [c73]Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, Pascal Kerschke:
Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization. SSCI 2021: 1-8 - 2020
- [j19]Jakob Bossek, Pascal Kerschke, Heike Trautmann:
A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. Appl. Soft Comput. 88: 105901 (2020) - [c72]Jakob Bossek, Christian Grimme, Günter Rudolph, Heike Trautmann:
Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. CEC 2020: 1-8 - [c71]Jakob Bossek, Pascal Kerschke, Heike Trautmann:
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. CEC 2020: 1-8 - [c70]Dennis Assenmacher, Lena Adam, Heike Trautmann, Christian Grimme:
Towards Real-Time and Unsupervised Campaign Detection in Social Media. FLAIRS 2020: 303-307 - [c69]Jakob Bossek, Christian Grimme, Heike Trautmann:
Dynamic bi-objective routing of multiple vehicles. GECCO 2020: 166-174 - [c68]Dennis M. Riehle, Marco Niemann, Jens Brunk, Dennis Assenmacher, Heike Trautmann, Jörg Becker:
Building an Integrated Comment Moderation System - Towards a Semi-automatic Moderation Tool. HCI (15) 2020: 71-86 - [c67]Dennis Assenmacher, Lena Clever, Janina Susanne Pohl, Heike Trautmann, Christian Grimme:
A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. HCI (14) 2020: 201-214 - [c66]Moritz Seiler, Heike Trautmann, Pascal Kerschke:
Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. IJCNN 2020: 1-8 - [c65]Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer:
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. LION 2020: 80-95 - [c64]Moritz Seiler, Janina Pohl, Jakob Bossek, Pascal Kerschke, Heike Trautmann:
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. PPSN (1) 2020: 48-64 - [c63]Raphael Patrick Prager, Heike Trautmann, Hao Wang, Thomas Bäck, Pascal Kerschke:
Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. SSCI 2020: 996-1003 - [c62]Vera Steinhoff, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Christian Grimme:
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. SSCI 2020: 2445-2452 - [e3]Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann:
Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12269, Springer 2020, ISBN 978-3-030-58111-4 [contents] - [e2]Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann:
Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12270, Springer 2020, ISBN 978-3-030-58114-5 [contents] - [i15]Jakob Bossek, Pascal Kerschke, Heike Trautmann:
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. CoRR abs/2005.13289 (2020) - [i14]Moritz Seiler, Heike Trautmann, Pascal Kerschke:
Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries. CoRR abs/2005.13293 (2020) - [i13]Jakob Bossek, Christian Grimme, Günter Rudolph, Heike Trautmann:
Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. CoRR abs/2005.13865 (2020) - [i12]Jakob Bossek, Christian Grimme, Heike Trautmann:
Dynamic Bi-Objective Routing of Multiple Vehicles. CoRR abs/2005.13872 (2020) - [i11]Moritz Seiler, Janina Pohl, Jakob Bossek, Pascal Kerschke, Heike Trautmann:
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. CoRR abs/2006.15968 (2020) - [i10]Vera Steinhoff, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Christian Grimme:
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. CoRR abs/2010.01004 (2020)
2010 – 2019
- 2019
- [j18]Matthias Carnein, Heike Trautmann:
Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms. Bus. Inf. Syst. Eng. 61(3): 277-297 (2019) - [j17]Holger H. Hoos, Frank Neumann, Heike Trautmann:
Foreword. Evol. Comput. 27(1): 1-2 (2019) - [j16]Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann:
Automated Algorithm Selection: Survey and Perspectives. Evol. Comput. 27(1): 3-45 (2019) - [j15]Pascal Kerschke, Heike Trautmann:
Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning. Evol. Comput. 27(1): 99-127 (2019) - [j14]Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael T. M. Emmerich:
Search Dynamics on Multimodal Multiobjective Problems. Evol. Comput. 27(4): 577-609 (2019) - [c61]Christian Grimme, Pascal Kerschke, Heike Trautmann:
Multimodality in Multi-objective Optimization - More Boon than Bane? EMO 2019: 126-138 - [c60]Jakob Bossek, Christian Grimme, Stephan Meisel, Günter Rudolph, Heike Trautmann:
Bi-objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. EMO 2019: 516-528 - [c59]Jakob Bossek, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann, Heike Trautmann:
Evolving diverse TSP instances by means of novel and creative mutation operators. FOGA 2019: 58-71 - [c58]Lena Clever, Lena Frischlich, Heike Trautmann, Christian Grimme:
Automated Detection of Nostalgic Text in the Context of Societal Pessimism. MISDOOM 2019: 48-58 - [c57]Dennis Assenmacher, Lena Adam, Lena Frischlich, Heike Trautmann, Christian Grimme:
Inside the Tool Set of Automation: Free Social Bot Code Revisited. MISDOOM 2019: 101-114 - [c56]Matthias Carnein, Heike Trautmann:
Customer Segmentation Based on Transactional Data Using Stream Clustering. PAKDD (1) 2019: 280-292 - [c55]Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer:
Towards Automated Configuration of Stream Clustering Algorithms. PKDD/ECML Workshops (1) 2019: 137-143 - [c54]Matthias Carnein, Leschek Homann, Heike Trautmann, Gottfried Vossen:
A Recommender System Based on Omni-Channel Customer Data. CBI (1) 2019: 65-74 - [i9]Dennis Assenmacher, Lena Adam, Lena Frischlich, Heike Trautmann, Christian Grimme:
Openbots. CoRR abs/1902.06691 (2019) - 2018
- [j13]Matthias Carnein, Heike Trautmann:
evoStream - Evolutionary Stream Clustering Utilizing Idle Times. Big Data Res. 14: 101-111 (2018) - [j12]Pascal Kerschke, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, Heike Trautmann:
Leveraging TSP Solver Complementarity through Machine Learning. Evol. Comput. 26(4) (2018) - [j11]Longmei Li, Yali Wang, Heike Trautmann, Ning Jing, Michael Emmerich:
Multiobjective evolutionary algorithms based on target region preferences. Swarm Evol. Comput. 40: 196-215 (2018) - [c53]Jakob Bossek, Christian Grimme, Stephan Meisel, Günter Rudolph, Heike Trautmann:
Local search effects in bi-objective orienteering. GECCO 2018: 585-592 - [c52]Pascal Kerschke, Jakob Bossek, Heike Trautmann:
Parameterization of state-of-the-art performance indicators: a robustness study based on inexact TSP solvers. GECCO (Companion) 2018: 1737-1744 - [c51]Jakob Bossek, Heike Trautmann:
Multi-objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. LION 2018: 215-219 - [c50]Jesper E. van Engelen, J. J. van Lier, Frank W. Takes, Heike Trautmann:
Accurate WiFi-Based Indoor Positioning with Continuous Location Sampling. ECML/PKDD (3) 2018: 524-540 - [i8]Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann:
Automated Algorithm Selection: Survey and Perspectives. CoRR abs/1811.11597 (2018) - 2017
- [j10]Christian Grimme, Mike Preuss, Lena Adam, Heike Trautmann:
Social Bots: Human-Like by Means of Human Control? Big Data 5(4): 279-293 (2017) - [c49]Matthias Carnein, Leschek Homann, Heike Trautmann, Gottfried Vossen, Karsten Kraume:
Customer Service in Social Media: An Empirical Study of the Airline Industry. BTW (Workshops) 2017: 33-40 - [c48]Matthias Carnein, Dennis Assenmacher, Heike Trautmann:
An Empirical Comparison of Stream Clustering Algorithms. Conf. Computing Frontiers 2017: 361-366 - [c47]Longmei Li, Iryna Yevseyeva, Vitor Basto-Fernandes, Heike Trautmann, Ning Jing, Michael Emmerich:
Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms. EMO 2017: 406-421 - [c46]Kevin Tierney, Joshua Handali, Christian Grimme, Heike Trautmann:
Multi-objective Optimization for Liner Shipping Fleet Repositioning. EMO 2017: 622-638 - [c45]Matthias Carnein, Markus Heuchert, Leschek Homann, Heike Trautmann, Gottfried Vossen, Jörg Becker, Karsten Kraume:
Towards Efficient and Informative Omni-Channel Customer Relationship Management. ER Workshops 2017: 69-78 - [c44]Matthias Carnein, Dennis Assenmacher, Heike Trautmann:
Stream Clustering of Chat Messages with Applications to Twitch Streams. ER Workshops 2017: 79-88 - [e1]Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret M. Wiecek, Yaochu Jin, Christian Grimme:
Evolutionary Multi-Criterion Optimization - 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings. Lecture Notes in Computer Science 10173, Springer 2017, ISBN 978-3-319-54156-3 [contents] - [i7]Christian Grimme, Mike Preuss, Lena Adam, Heike Trautmann:
Social Bots: Human-Like by Means of Human Control? CoRR abs/1706.07624 (2017) - [i6]Pascal Kerschke, Heike Trautmann:
Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. CoRR abs/1711.08921 (2017) - 2016
- [j9]Günter Rudolph, Oliver Schütze, Christian Grimme, Christian Domínguez-Medina, Heike Trautmann:
Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. Comput. Optim. Appl. 64(2): 589-618 (2016) - [j8]Oliver Schütze, Víctor Adrián Sosa-Hernández, Heike Trautmann, Günter Rudolph:
The hypervolume based directed search method for multi-objective optimization problems. J. Heuristics 22(3): 273-300 (2016) - [c43]Jakob Bossek, Heike Trautmann:
Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference. AI*IA 2016: 3-12 - [c42]Pascal Kerschke, Heike Trautmann:
The R-Package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problems. CEC 2016: 5262-5269 - [c41]Günter Rudolph, Oliver Schütze, Heike Trautmann:
On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. EvoApplications (2) 2016: 42-55 - [c40]Pascal Kerschke, Mike Preuss, Simon Wessing, Heike Trautmann:
Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models. GECCO 2016: 229-236 - [c39]Aymeric Blot, Holger H. Hoos, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Heike Trautmann:
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. LION 2016: 32-47 - [c38]Jakob Bossek, Heike Trautmann:
Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers. LION 2016: 48-59 - [c37]Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael Emmerich:
Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. PPSN 2016: 962-972 - [i5]Longmei Li, Iryna Yevseyeva, Vitor Basto-Fernandes, Heike Trautmann, Ning Jing, Michael T. M. Emmerich:
An Ontology of Preference-Based Multiobjective Evolutionary Algorithms. CoRR abs/1609.08082 (2016) - [i4]Holger H. Hoos, Frank Neumann, Heike Trautmann:
Automated Algorithm Selection and Configuration (Dagstuhl Seminar 16412). Dagstuhl Reports 6(10): 33-74 (2016) - 2015
- [j7]Olaf Mersmann, Mike Preuss, Heike Trautmann, Bernd Bischl, Claus Weihs:
Analyzing the BBOB Results by Means of Benchmarking Concepts. Evol. Comput. 23(1): 161-185 (2015) - [j6]Dimo Brockhoff, Tobias Wagner, Heike Trautmann:
2 Indicator-Based Multiobjective Search. Evol. Comput. 23(3): 369-395 (2015) - [c36]Andrey Chinnov, Pascal Kerschke, Christian Meske, Stefan Stieglitz, Heike Trautmann:
An Overview of Topic Discovery in Twitter Communication through Social Media Analytics. AMCIS 2015 - [c35]Christian Grimme, Stephan Meisel, Heike Trautmann, Günter Rudolph, Martin Wölck:
Multi-objective Analysis of Approaches to Dynamic Routing of a Vehicle. ECIS 2015 - [c34]Víctor Adrián Sosa-Hernández, Oliver Schütze, Heike Trautmann, Günter Rudolph:
On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs. EMO (2) 2015: 126-140 - [c33]Pascal Kerschke, Mike Preuss, Simon Wessing, Heike Trautmann:
Detecting Funnel Structures by Means of Exploratory Landscape Analysis. GECCO 2015: 265-272 - [c32]Stephan Meisel, Christian Grimme, Jakob Bossek, Martin Wölck, Günter Rudolph, Heike Trautmann:
Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle. GECCO 2015: 425-432 - [c31]Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph:
Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. GECCO (Companion) 2015: 1427-1428 - [c30]Lars Kotthoff, Pascal Kerschke, Holger H. Hoos, Heike Trautmann:
Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection. LION 2015: 202-217 - [c29]Víctor Adrián Sosa-Hernández, Adriana Lara, Heike Trautmann, Günter Rudolph, Oliver Schütze:
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems. NEO 2015: 281-330 - [i3]Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph:
Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. CoRR abs/1503.07845 (2015) - 2014
- [c28]Günter Rudolph, Oliver Schütze, Christian Grimme, Heike Trautmann:
An Aspiration Set EMOA Based on Averaged Hausdorff Distances. LION 2014: 153-156 - [c27]Simon Wessing, Mike Preuss, Heike Trautmann:
Stopping Criteria for Multimodal Optimization. PPSN 2014: 141-150 - 2013
- [j5]Olaf Mersmann, Bernd Bischl, Heike Trautmann, Markus Wagner, Jakob Bossek, Frank Neumann:
A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem. Ann. Math. Artif. Intell. 69(2): 151-182 (2013) - [c26]Christian Domínguez-Medina, Günter Rudolph, Oliver Schütze, Heike Trautmann:
Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique. IEEE Congress on Evolutionary Computation 2013: 3190-3197 - [c25]Mike Preuss, Daniel Kozakowski, Johan Hagelbäck, Heike Trautmann:
Reactive strategy choice in StarCraft by means of Fuzzy Control. CIG 2013: 1-8 - [c24]Tobias Wagner, Heike Trautmann, Dimo Brockhoff:
Preference Articulation by Means of the R2 Indicator. EMO 2013: 81-95 - [c23]Günter Rudolph, Heike Trautmann, Soumyadip Sengupta, Oliver Schütze:
Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation. EMO 2013: 443-458 - [c22]Samadhi Nallaperuma, Markus Wagner, Frank Neumann, Bernd Bischl, Olaf Mersmann, Heike Trautmann:
A feature-based comparison of local search and the christofides algorithm for the travelling salesperson problem. FOGA 2013: 147-160 - [c21]Víctor Adrián Sosa-Hernández, Oliver Schütze, Günter Rudolph, Heike Trautmann:
Directed search method for indicator-based multi-objective evolutionary algorithms. GECCO (Companion) 2013: 1699-1702 - [c20]Heike Trautmann, Tobias Wagner, Dimo Brockhoff:
R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection. LION 2013: 70-74 - 2012
- [j4]Günter Rudolph, Heike Trautmann, Oliver Schütze:
Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen. Autom. 60(10): 612-621 (2012) - [j3]Bernd Bischl, Olaf Mersmann, Heike Trautmann, Claus Weihs:
Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation. Evol. Comput. 20(2): 249-275 (2012) - [c19]Heike Trautmann, Günter Rudolph, Christian Domínguez-Medina, Oliver Schütze:
Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems. EVOLVE 2012: 89-105 - [c18]Shaul Salomon, Christian Domínguez-Medina, Gideon Avigad, Alan Lopes de Sousa Freitas, Alex Goldvard, Oliver Schütze, Heike Trautmann:
PSA Based Multi Objective Evolutionary Algorithms. EVOLVE (III) 2012: 233-259 - [c17]Bernd Bischl, Olaf Mersmann, Heike Trautmann, Mike Preuß:
Algorithm selection based on exploratory landscape analysis and cost-sensitive learning. GECCO 2012: 313-320 - [c16]Dimo Brockhoff, Tobias Wagner, Heike Trautmann:
On the properties of the R2 indicator. GECCO 2012: 465-472 - [c15]Olaf Mersmann, Bernd Bischl, Jakob Bossek, Heike Trautmann, Markus Wagner, Frank Neumann:
Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness. LION 2012: 115-129 - [i2]Olaf Mersmann, Bernd Bischl, Heike Trautmann, Markus Wagner, Frank Neumann:
A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem. CoRR abs/1208.2318 (2012) - 2011
- [c14]Tobias Wagner, Heike Trautmann, Luis Martí:
A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms. EMO 2011: 16-30 - [c13]Olaf Mersmann, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs, Günter Rudolph:
Exploratory landscape analysis. GECCO 2011: 829-836 - 2010
- [j2]Tobias Wagner, Heike Trautmann:
Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions. IEEE Trans. Evol. Comput. 14(5): 688-701 (2010) - [c12]Olaf Mersmann, Heike Trautmann, Boris Naujoks, Claus Weihs:
Benchmarking evolutionary multiobjective optimization algorithms. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c11]Tobias Wagner, Heike Trautmann:
Online convergence detection for evolutionary multi-objective algorithms revisited. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c10]Claus Weihs, Olaf Mersmann, Bernd Bischl, Arno Fritsch, Heike Trautmann, Till Moritz Karbach, Bernhard Spaan:
A Case Study on the Use of Statistical Classification Methods in Particle Physics. GfKl 2010: 69-77 - [c9]Olaf Mersmann, Heike Trautmann, Boris Naujoks, Claus Weihs:
On the Distribution of EMOA Hypervolumes. LION 2010: 333-337 - [c8]Olaf Mersmann, Mike Preuss, Heike Trautmann:
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis. PPSN (1) 2010: 73-82 - [c7]Sanaz Mostaghim, Heike Trautmann, Olaf Mersmann:
Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities. PPSN (2) 2010: 101-110 - [c6]Thomas Voß, Heike Trautmann, Christian Igel:
New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization. PPSN (2) 2010: 260-269
2000 – 2009
- 2009
- [j1]Heike Trautmann, Tobias Wagner, Boris Naujoks, Mike Preuß, Jörn Mehnen:
Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms. Evol. Comput. 17(4): 493-509 (2009) - [c5]Boris Naujoks, Heike Trautmann:
Online convergence detection for multiobjective aerodynamic applications. IEEE Congress on Evolutionary Computation 2009: 332-339 - [c4]Heike Trautmann, Jörn Mehnen, Boris Naujoks:
Pareto-dominance in noisy environments. IEEE Congress on Evolutionary Computation 2009: 3119-3126 - [c3]Tobias Wagner, Heike Trautmann, Boris Naujoks:
OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing. EMO 2009: 198-215 - 2008
- [c2]Heike Trautmann, Uwe Ligges, Jörn Mehnen, Mike Preuss:
A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing. PPSN 2008: 825-836 - 2007
- [c1]Jörn Mehnen, Heike Trautmann, Ashutosh Tiwari:
Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes. IEEE Congress on Evolutionary Computation 2007: 2687-2694 - [i1]Claus Weihs, Heike Trautmann:
Parallel Universes: Multi-Criteria Optimization. Parallel Universes and Local Patterns 2007
Coauthor Index
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