Heike Trautmann

160 papers A 20B 10C 11Misc 1Journal 53Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties. CoRR Urban Skvorc, Niki van Stein, Moritz Seiler, Britta Grimme, Thomas Bäck, Heike Trautmann
2026	J	`jnl`	MO-ELA: Rigorously Expanding Exploratory Landscape Features for Automated Algorithm Selection in Continuous Multi-Objective Optimisation. CoRR Oliver Ludger Preuß, Jeroen Rook, Jakob Bossek, Heike Trautmann
2025	A	`conf`	Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes. GECCO Oliver Ludger Preuß, Carolin Mensendiek, Jeroen Rook, Jakob Bossek, Heike Trautmann
2025	J	`jnl`	Best Practices For Empirical Meta-Algorithmic Research: Guidelines from the COSEAL Research Network. CoRR Theresa Eimer, Lennart Schäpermeier, André Biedenkapp, Alexander Tornede, Lars Kotthoff, Pieter Leyman, Matthias Feurer, Katharina Eggensperger, Kaitlin Maile, Tanja Tornede, Anna Kozak, Ke Xue, Marcel Wever, Mitra Baratchi, Damir Pulatov, Heike Trautmann, Haniye Kashgarani, Marius Lindauer
2025	A	`conf`	Deep reinforcement learning for instance-specific algorithm configuration. GECCO Elias Schede, Moritz Seiler, Kevin Tierney, Heike Trautmann
2025	A	`conf`	Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances. FOGA Jeroen Rook, Quentin Renau, Heike Trautmann, Emma Hart
2025	J	`jnl`	Exploratory Landscape Analysis for Mixed-Variable Problems. IEEE Trans. Evol. Comput. Raphael Patrick Prager, Heike Trautmann
2025	J	`jnl`	Finding ϵ-Locally Optimal Solutions for Multiobjective Multimodal Optimization. IEEE Trans. Evol. Comput. Angel E. Rodriguez-Fernandez, Lennart Schäpermeier, Carlos Hernández, Pascal Kerschke, Heike Trautmann, Oliver Schütze
2025	—	`conf`	Hot off the Press: Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. GECCO Companion Angel E. Rodriguez-Fernandez, Lennart Schäpermeier, Carlos Ignacio Hernández Castellanos, Pascal Kerschke, Heike Trautmann, Oliver Schütze
2025	—	`conf`	MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler. EMO (1) Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, Thomas Bäck
2025	A	`conf`	RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces. GECCO Moritz Vinzent Seiler, Oliver Ludger Preuß, Heike Trautmann
2024	J	`jnl`	Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems. CoRR Moritz Vinzent Seiler, Pascal Kerschke, Heike Trautmann
2024	J	`jnl`	Exploratory Landscape Analysis for Mixed-Variable Problems. CoRR Raphael Patrick Prager, Heike Trautmann
2024	—	`conf`	Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization. PPSN (2) Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann
2024	J	`jnl`	Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization. CoRR Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann
2024	—	`conf`	Learned Features vs. Classical ELA on Affine BBOB Functions. PPSN (2) Moritz Seiler, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, Heike Trautmann
2024	J	`jnl`	MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler. CoRR Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, Thomas Bäck
2024	—	`conf`	Multi-objective Ranking using Bootstrap Resampling. GECCO Companion Jeroen Rook, Holger H. Hoos, Heike Trautmann
2024	—	`conf`	On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. EvoApplications@EvoStar Oliver Ludger Preuß, Jeroen Rook, Heike Trautmann
2024	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I PPSN (1) Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck
2024	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II PPSN (2) Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck
2024	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III PPSN (3) Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck
2024	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV PPSN (4) Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck
2024	J	`jnl`	Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evol. Comput. Raphael Patrick Prager, Heike Trautmann
2024	—	`conf`	Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection. LION Moritz Seiler, Urban Skvorc, Carola Doerr, Heike Trautmann
2023	J	`jnl`	A study on the effects of normalized TSP features for automated algorithm selection. Theor. Comput. Sci. Jonathan Heins, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, Pascal Kerschke
2023	—	`conf`	Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems. GECCO Companion Raphael Patrick Prager, Heike Trautmann
2023	A	`conf`	Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. FOGA Raphael Patrick Prager, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, Olaf Mersmann
2023	—	`conf`	Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. EvoApplications@EvoStar Raphael Patrick Prager, Heike Trautmann
2023	C	`conf`	Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. EMO Lennart Schäpermeier, Pascal Kerschke, Christian Grimme, Heike Trautmann
2023	J	`jnl`	The objective that freed me: a multi-objective local search approach for continuous single-objective optimization. Nat. Comput. Pelin Aspar, Vera Steinhoff, Lennart Schäpermeier, Pascal Kerschke, Heike Trautmann, Christian Grimme
2023	—	`conf`	Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. SSCI Moritz Vinzent Seiler, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, Heike Trautmann
2022	J	`jnl`	A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes. CoRR Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, Heike Trautmann
2022	A	`conf`	A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes. GECCO Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, Heike Trautmann
2022	—	`conf`	Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches. ICWSM Workshops Janina Susanne Pohl, Dennis Assenmacher, Moritz Vinzent Seiler, Heike Trautmann, Christian Grimme
2022	—	`conf`	Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods. PPSN (1) Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, Pascal Kerschke
2022	—	`conf`	BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. PPSN (1) Jonathan Heins, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek, Heike Trautmann
2022	J	`jnl`	Correction to: Estimation of component reliability from superposed renewal processes by means of latent variables. Comput. Stat. Agatha S. Rodrigues, Pascal Kerschke, Carlos Alberto De Bragança Pereira, Heike Trautmann, Carolin Wagner, Bernd Hellingrath, Adriano Polpo
2022	J	`jnl`	Estimation of component reliability from superposed renewal processes by means of latent variables. Comput. Stat. Agatha S. Rodrigues, Pascal Kerschke, Carlos Alberto De Bragança Pereira, Heike Trautmann, Carolin Wagner, Bernd Hellingrath, Adriano Polpo
2022	J	`jnl`	HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. CoRR Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke
2022	—	`conf`	HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. PPSN (1) Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke
2022	—	`conf`	On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems. GECCO Companion Jeroen Rook, Heike Trautmann, Jakob Bossek, Christian Grimme
2022	—	`conf`	Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption. ACIIDS (1) Dennis Assenmacher, Heike Trautmann
2021	—	`conf`	<tt>RP-Mod</tt>&<tt>RP-Crowd: </tt> Moderator- and Crowd-Annotated German News Comment Datasets. NeurIPS Datasets and Benchmarks Dennis Assenmacher, Marco Niemann, Kilian Müller, Moritz Seiler, Dennis M. Riehle, Heike Trautmann
2021	J	`jnl`	Introduction to the special issue of the ECML PKDD 2021 journal track. Data Min. Knowl. Discov. Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann
2021	J	`jnl`	Introduction to the special issue of the ECML PKDD 2021 journal track. Mach. Learn. Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann
2021	C	`conf`	Multi EMO Pelin Aspar, Pascal Kerschke, Vera Steinhoff, Heike Trautmann, Christian Grimme
2021	A	`conf`	On the potential of normalized TSP features for automated algorithm selection. FOGA Jonathan Heins, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, Pascal Kerschke
2021	J	`jnl`	Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization. Comput. Oper. Res. Christian Grimme, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Mike Preuss, André H. Deutz, Hao Wang, Michael Emmerich
2021	—	`conf`	Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization. SSCI Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, Pascal Kerschke
2021	J	`jnl`	What is it about humanity that we can't give away to intelligent machines? A European perspective. Int. J. Inf. Manag. 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
2020	—	`conf`	A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. HCI (14) Dennis Assenmacher, Lena Clever, Janina Susanne Pohl, Heike Trautmann, Christian Grimme
2020	J	`jnl`	A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. Appl. Soft Comput. Jakob Bossek, Pascal Kerschke, Heike Trautmann
2020	B	`conf`	Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. CEC Jakob Bossek, Pascal Kerschke, Heike Trautmann
2020	J	`jnl`	Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. CoRR Jakob Bossek, Pascal Kerschke, Heike Trautmann
2020	—	`conf`	Building an Integrated Comment Moderation System - Towards a Semi-automatic Moderation Tool. HCI (15) Dennis M. Riehle, Marco Niemann, Jens Brunk, Dennis Assenmacher, Heike Trautmann, Jörg Becker
2020	—	`conf`	Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. PPSN (1) Moritz Seiler, Janina Pohl, Jakob Bossek, Pascal Kerschke, Heike Trautmann
2020	J	`jnl`	Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. CoRR Moritz Seiler, Janina Pohl, Jakob Bossek, Pascal Kerschke, Heike Trautmann
2020	J	`jnl`	Dynamic Bi-Objective Routing of Multiple Vehicles. CoRR Jakob Bossek, Christian Grimme, Heike Trautmann
2020	A	`conf`	Dynamic bi-objective routing of multiple vehicles. GECCO Jakob Bossek, Christian Grimme, Heike Trautmann
2020	B	`conf`	Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. IJCNN Moritz Seiler, Heike Trautmann, Pascal Kerschke
2020	J	`jnl`	Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries. CoRR Moritz Seiler, Heike Trautmann, Pascal Kerschke
2020	—	`conf`	Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. SSCI Vera Steinhoff, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Christian Grimme
2020	J	`jnl`	Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. CoRR Vera Steinhoff, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Christian Grimme
2020	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I PPSN (1) Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann
2020	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II PPSN (2) Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann
2020	—	`conf`	Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. SSCI Raphael Patrick Prager, Heike Trautmann, Hao Wang, Thomas Bäck, Pascal Kerschke
2020	B	`conf`	Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. CEC Jakob Bossek, Christian Grimme, Günter Rudolph, Heike Trautmann
2020	J	`jnl`	Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. CoRR Jakob Bossek, Christian Grimme, Günter Rudolph, Heike Trautmann
2020	Misc	`conf`	Towards Real-Time and Unsupervised Campaign Detection in Social Media. FLAIRS Dennis Assenmacher, Lena Adam, Heike Trautmann, Christian Grimme
2020	—	`conf`	confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. LION Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
2019	—	`conf`	A Recommender System Based on Omni-Channel Customer Data. CBI (1) Matthias Carnein, Leschek Homann, Heike Trautmann, Gottfried Vossen
2019	J	`jnl`	Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning. Evol. Comput. Pascal Kerschke, Heike Trautmann
2019	J	`jnl`	Automated Algorithm Selection: Survey and Perspectives. Evol. Comput. Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann
2019	—	`conf`	Automated Detection of Nostalgic Text in the Context of Societal Pessimism. MISDOOM Lena Clever, Lena Frischlich, Heike Trautmann, Christian Grimme
2019	C	`conf`	Bi-objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. EMO Jakob Bossek, Christian Grimme, Stephan Meisel, Günter Rudolph, Heike Trautmann
2019	—	`conf`	Customer Segmentation Based on Transactional Data Using Stream Clustering. PAKDD (1) Matthias Carnein, Heike Trautmann
2019	A	`conf`	Evolving diverse TSP instances by means of novel and creative mutation operators. FOGA Jakob Bossek, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann, Heike Trautmann
2019	J	`jnl`	Foreword. Evol. Comput. Holger H. Hoos, Frank Neumann, Heike Trautmann
2019	—	`conf`	Inside the Tool Set of Automation: Free Social Bot Code Revisited. MISDOOM Dennis Assenmacher, Lena Adam, Lena Frischlich, Heike Trautmann, Christian Grimme
2019	C	`conf`	Multimodality in Multi-objective Optimization - More Boon than Bane? EMO Christian Grimme, Pascal Kerschke, Heike Trautmann
2019	J	`jnl`	Openbots. CoRR Dennis Assenmacher, Lena Adam, Lena Frischlich, Heike Trautmann, Christian Grimme
2019	J	`jnl`	Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms. Bus. Inf. Syst. Eng. Matthias Carnein, Heike Trautmann
2019	J	`jnl`	Search Dynamics on Multimodal Multiobjective Problems. Evol. Comput. Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael T. M. Emmerich
2019	—	`conf`	Towards Automated Configuration of Stream Clustering Algorithms. PKDD/ECML Workshops (1) Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
2018	—	`conf`	Accurate WiFi-Based Indoor Positioning with Continuous Location Sampling. ECML/PKDD (3) Jesper E. van Engelen, J. J. van Lier, Frank W. Takes, Heike Trautmann
2018	J	`jnl`	Automated Algorithm Selection: Survey and Perspectives. CoRR Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann
2018	J	`jnl`	Leveraging TSP Solver Complementarity through Machine Learning. Evol. Comput. Pascal Kerschke, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, Heike Trautmann
2018	A	`conf`	Local search effects in bi-objective orienteering. GECCO Jakob Bossek, Christian Grimme, Stephan Meisel, Günter Rudolph, Heike Trautmann
2018	—	`conf`	Multi-objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. LION Jakob Bossek, Heike Trautmann
2018	J	`jnl`	Multiobjective evolutionary algorithms based on target region preferences. Swarm Evol. Comput. Longmei Li, Yali Wang, Heike Trautmann, Ning Jing, Michael Emmerich
2018	—	`conf`	Parameterization of state-of-the-art performance indicators: a robustness study based on inexact TSP solvers. GECCO (Companion) Pascal Kerschke, Jakob Bossek, Heike Trautmann
2018	J	`jnl`	evoStream - Evolutionary Stream Clustering Utilizing Idle Times. Big Data Res. Matthias Carnein, Heike Trautmann
2017	—	`conf`	An Empirical Comparison of Stream Clustering Algorithms. Conf. Computing Frontiers Matthias Carnein, Dennis Assenmacher, Heike Trautmann
2017	J	`jnl`	Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. CoRR Pascal Kerschke, Heike Trautmann
2017	C	`conf`	Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms. EMO Longmei Li, Iryna Yevseyeva, Vitor Basto-Fernandes, Heike Trautmann, Ning Jing, Michael Emmerich
2017	—	`conf`	Customer Service in Social Media: An Empirical Study of the Airline Industry. BTW (Workshops) Matthias Carnein, Leschek Homann, Heike Trautmann, Gottfried Vossen, Karsten Kraume
2017	C	`ed.`	Evolutionary Multi-Criterion Optimization - 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings EMO Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret M. Wiecek, Yaochu Jin, Christian Grimme
2017	C	`conf`	Multi-objective Optimization for Liner Shipping Fleet Repositioning. EMO Kevin Tierney, Joshua Handali, Christian Grimme, Heike Trautmann
2017	J	`jnl`	Social Bots: Human-Like by Means of Human Control? Big Data Christian Grimme, Mike Preuss, Lena Adam, Heike Trautmann
2017	J	`jnl`	Social Bots: Human-Like by Means of Human Control? CoRR Christian Grimme, Mike Preuss, Lena Adam, Heike Trautmann
2017	—	`conf`	Stream Clustering of Chat Messages with Applications to Twitch Streams. ER Workshops Matthias Carnein, Dennis Assenmacher, Heike Trautmann
2017	—	`conf`	Towards Efficient and Informative Omni-Channel Customer Relationship Management. ER Workshops Matthias Carnein, Markus Heuchert, Leschek Homann, Heike Trautmann, Gottfried Vossen, Jörg Becker, Karsten Kraume
2016	J	`jnl`	An Ontology of Preference-Based Multiobjective Evolutionary Algorithms. CoRR Longmei Li, Iryna Yevseyeva, Vitor Basto-Fernandes, Heike Trautmann, Ning Jing, Michael T. M. Emmerich
2016	J	`jnl`	Automated Algorithm Selection and Configuration (Dagstuhl Seminar 16412). Dagstuhl Reports Holger H. Hoos, Frank Neumann, Heike Trautmann
2016	—	`conf`	Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers. LION Jakob Bossek, Heike Trautmann
2016	A	`conf`	Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models. GECCO Pascal Kerschke, Mike Preuss, Simon Wessing, Heike Trautmann
2016	—	`conf`	MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. LION Aymeric Blot, Holger H. Hoos, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Heike Trautmann
2016	—	`conf`	On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. EvoApplications (2) Günter Rudolph, Oliver Schütze, Heike Trautmann
2016	J	`jnl`	Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. Comput. Optim. Appl. Günter Rudolph, Oliver Schütze, Christian Grimme, Christian Domínguez-Medina, Heike Trautmann
2016	B	`conf`	The R-Package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problems. CEC Pascal Kerschke, Heike Trautmann
2016	J	`jnl`	The hypervolume based directed search method for multi-objective optimization problems. J. Heuristics Oliver Schütze, Víctor Adrián Sosa-Hernández, Heike Trautmann, Günter Rudolph
2016	A	`conf`	Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. PPSN Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael Emmerich
2016	—	`conf`	Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference. AI*IA Jakob Bossek, Heike Trautmann
2015	J	`jnl`	2 Indicator-Based Multiobjective Search. Evol. Comput. Dimo Brockhoff, Tobias Wagner, Heike Trautmann
2015	—	`conf`	An Overview of Topic Discovery in Twitter Communication through Social Media Analytics. AMCIS Andrey Chinnov, Pascal Kerschke, Christian Meske, Stefan Stieglitz, Heike Trautmann
2015	J	`jnl`	Analyzing the BBOB Results by Means of Benchmarking Concepts. Evol. Comput. Olaf Mersmann, Mike Preuss, Heike Trautmann, Bernd Bischl, Claus Weihs
2015	—	`conf`	Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. GECCO (Companion) Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph
2015	J	`jnl`	Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. CoRR Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph
2015	A	`conf`	Detecting Funnel Structures by Means of Exploratory Landscape Analysis. GECCO Pascal Kerschke, Mike Preuss, Simon Wessing, Heike Trautmann
2015	A	`conf`	Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle. GECCO Stephan Meisel, Christian Grimme, Jakob Bossek, Martin Wölck, Günter Rudolph, Heike Trautmann
2015	—	`conf`	Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection. LION Lars Kotthoff, Pascal Kerschke, Holger H. Hoos, Heike Trautmann
2015	—	`conf`	Multi-objective Analysis of Approaches to Dynamic Routing of a Vehicle. ECIS Christian Grimme, Stephan Meisel, Heike Trautmann, Günter Rudolph, Martin Wölck
2015	—	`conf`	On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs. EMO (2) Víctor Adrián Sosa-Hernández, Oliver Schütze, Heike Trautmann, Günter Rudolph
2015	—	`conf`	The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems. NEO Víctor Adrián Sosa-Hernández, Adriana Lara, Heike Trautmann, Günter Rudolph, Oliver Schütze
2014	—	`conf`	An Aspiration Set EMOA Based on Averaged Hausdorff Distances. LION Günter Rudolph, Oliver Schütze, Christian Grimme, Heike Trautmann
2014	A	`conf`	Stopping Criteria for Multimodal Optimization. PPSN Simon Wessing, Mike Preuss, Heike Trautmann
2013	A	`conf`	A feature-based comparison of local search and the christofides algorithm for the travelling salesperson problem. FOGA Samadhi Nallaperuma, Markus Wagner, Frank Neumann, Bernd Bischl, Olaf Mersmann, Heike Trautmann
2013	J	`jnl`	A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem. Ann. Math. Artif. Intell. Olaf Mersmann, Bernd Bischl, Heike Trautmann, Markus Wagner, Jakob Bossek, Frank Neumann
2013	—	`conf`	Directed search method for indicator-based multi-objective evolutionary algorithms. GECCO (Companion) Víctor Adrián Sosa-Hernández, Oliver Schütze, Günter Rudolph, Heike Trautmann
2013	C	`conf`	Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation. EMO Günter Rudolph, Heike Trautmann, Soumyadip Sengupta, Oliver Schütze
2013	B	`conf`	Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique. IEEE Congress on Evolutionary Computation Christian Domínguez-Medina, Günter Rudolph, Oliver Schütze, Heike Trautmann
2013	C	`conf`	Preference Articulation by Means of the R2 Indicator. EMO Tobias Wagner, Heike Trautmann, Dimo Brockhoff
2013	—	`conf`	R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection. LION Heike Trautmann, Tobias Wagner, Dimo Brockhoff
2013	—	`conf`	Reactive strategy choice in StarCraft by means of Fuzzy Control. CIG Mike Preuss, Daniel Kozakowski, Johan Hagelbäck, Heike Trautmann
2012	J	`jnl`	A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem CoRR Olaf Mersmann, Bernd Bischl, Heike Trautmann, Markus Wagner, Frank Neumann
2012	A	`conf`	Algorithm selection based on exploratory landscape analysis and cost-sensitive learning. GECCO Bernd Bischl, Olaf Mersmann, Heike Trautmann, Mike Preuß
2012	—	`conf`	Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems. EVOLVE Heike Trautmann, Günter Rudolph, Christian Domínguez-Medina, Oliver Schütze
2012	J	`jnl`	Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen. Autom. Günter Rudolph, Heike Trautmann, Oliver Schütze
2012	—	`conf`	Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness. LION Olaf Mersmann, Bernd Bischl, Jakob Bossek, Heike Trautmann, Markus Wagner, Frank Neumann
2012	A	`conf`	On the properties of the R2 indicator. GECCO Dimo Brockhoff, Tobias Wagner, Heike Trautmann
2012	—	`conf`	PSA Based Multi Objective Evolutionary Algorithms. EVOLVE (III) Shaul Salomon, Christian Domínguez-Medina, Gideon Avigad, Alan Lopes de Sousa Freitas, Alex Goldvard, Oliver Schütze, Heike Trautmann
2012	J	`jnl`	Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation. Evol. Comput. Bernd Bischl, Olaf Mersmann, Heike Trautmann, Claus Weihs
2011	C	`conf`	A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms. EMO Tobias Wagner, Heike Trautmann, Luis Martí
2011	A	`conf`	Exploratory landscape analysis. GECCO Olaf Mersmann, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs, Günter Rudolph
2010	—	`conf`	A Case Study on the Use of Statistical Classification Methods in Particle Physics. GfKl Claus Weihs, Olaf Mersmann, Bernd Bischl, Arno Fritsch, Heike Trautmann, Till Moritz Karbach, Bernhard Spaan
2010	—	`conf`	Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis. PPSN (1) Olaf Mersmann, Mike Preuss, Heike Trautmann
2010	B	`conf`	Benchmarking evolutionary multiobjective optimization algorithms. IEEE Congress on Evolutionary Computation Olaf Mersmann, Heike Trautmann, Boris Naujoks, Claus Weihs
2010	J	`jnl`	Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions. IEEE Trans. Evol. Comput. Tobias Wagner, Heike Trautmann
2010	—	`conf`	New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization. PPSN (2) Thomas Voß, Heike Trautmann, Christian Igel
2010	—	`conf`	On the Distribution of EMOA Hypervolumes. LION Olaf Mersmann, Heike Trautmann, Boris Naujoks, Claus Weihs
2010	B	`conf`	Online convergence detection for evolutionary multi-objective algorithms revisited. IEEE Congress on Evolutionary Computation Tobias Wagner, Heike Trautmann
2010	—	`conf`	Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities. PPSN (2) Sanaz Mostaghim, Heike Trautmann, Olaf Mersmann
2009	C	`conf`	OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing. EMO Tobias Wagner, Heike Trautmann, Boris Naujoks
2009	B	`conf`	Online convergence detection for multiobjective aerodynamic applications. IEEE Congress on Evolutionary Computation Boris Naujoks, Heike Trautmann
2009	B	`conf`	Pareto-dominance in noisy environments. IEEE Congress on Evolutionary Computation Heike Trautmann, Jörn Mehnen, Boris Naujoks
2009	J	`jnl`	Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms. Evol. Comput. Heike Trautmann, Tobias Wagner, Boris Naujoks, Mike Preuß, Jörn Mehnen
2008	A	`conf`	A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing. PPSN Heike Trautmann, Uwe Ligges, Jörn Mehnen, Mike Preuss
2007	B	`conf`	Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes. IEEE Congress on Evolutionary Computation Jörn Mehnen, Heike Trautmann, Ashutosh Tiwari
2007	—	`conf`	Parallel Universes: Multi-Criteria Optimization. Parallel Universes and Local Patterns Claus Weihs, Heike Trautmann