Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes. - Jörn Mehnen; Heike Trautmann; Ashutosh Tiwari 001 (IEEE Congress on Evolutionary Computation, 2007)

Parallel Universes: Multi-Criteria Optimization. - Claus Weihs; Heike Trautmann (Parallel Universes and Local Patterns, 2007)

A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing. - Heike Trautmann; Uwe Ligges; Jörn Mehnen; Mike Preuss (PPSN, 2008)

Online convergence detection for multiobjective aerodynamic applications. - Boris Naujoks; Heike Trautmann (IEEE Congress on Evolutionary Computation, 2009)

Pareto-dominance in noisy environments. - Heike Trautmann; Jörn Mehnen; Boris Naujoks (IEEE Congress on Evolutionary Computation, 2009)

OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing. - Tobias Wagner 001; Heike Trautmann; Boris Naujoks (EMO, 2009)

Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms. - Heike Trautmann; Tobias Wagner 001; Boris Naujoks; Mike Preuß; Jörn Mehnen (Evol. Comput., 2009)

Benchmarking evolutionary multiobjective optimization algorithms. - Olaf Mersmann; Heike Trautmann; Boris Naujoks; Claus Weihs (IEEE Congress on Evolutionary Computation, 2010)

Online convergence detection for evolutionary multi-objective algorithms revisited. - Tobias Wagner 001; Heike Trautmann (IEEE Congress on Evolutionary Computation, 2010)

A Case Study on the Use of Statistical Classification Methods in Particle Physics. - Claus Weihs; Olaf Mersmann; Bernd Bischl; Arno Fritsch; Heike Trautmann; Till Moritz Karbach; Bernhard Spaan (GfKl, 2010)

On the Distribution of EMOA Hypervolumes. - Olaf Mersmann; Heike Trautmann; Boris Naujoks; Claus Weihs (LION, 2010)

Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis. - Olaf Mersmann; Mike Preuss; Heike Trautmann (PPSN (1), 2010)

Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities. - Sanaz Mostaghim; Heike Trautmann; Olaf Mersmann (PPSN (2), 2010)

New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization. - Thomas Voß; Heike Trautmann; Christian Igel (PPSN (2), 2010)

Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions. - Tobias Wagner 001; Heike Trautmann (IEEE Trans. Evol. Comput., 2010)

A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms. - Tobias Wagner 001; Heike Trautmann; Luis Martí (EMO, 2011)

Exploratory landscape analysis. - Olaf Mersmann; Bernd Bischl; Heike Trautmann; Mike Preuss; Claus Weihs; Günter Rudolph (GECCO, 2011)

PSA Based Multi Objective Evolutionary Algorithms. - Shaul Salomon; Christian Domínguez-Medina; Gideon Avigad; Alan Lopes de Sousa Freitas; Alex Goldvard; Oliver Schütze 001; Heike Trautmann (EVOLVE (III), 2012)

Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems. - Heike Trautmann; Günter Rudolph; Christian Domínguez-Medina; Oliver Schütze 001 (EVOLVE, 2012)

Algorithm selection based on exploratory landscape analysis and cost-sensitive learning. - Bernd Bischl; Olaf Mersmann; Heike Trautmann; Mike Preuß (GECCO, 2012)

On the properties of the R2 indicator. - Dimo Brockhoff; Tobias Wagner 001; Heike Trautmann (GECCO, 2012)

Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness. - Olaf Mersmann; Bernd Bischl; Jakob Bossek; Heike Trautmann; Markus Wagner 007; Frank Neumann 001 (LION, 2012)

Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen. - Günter Rudolph; Heike Trautmann; Oliver Schütze 001 (Autom., 2012)

A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem - Olaf Mersmann; Bernd Bischl; Heike Trautmann; Markus Wagner 007; Frank Neumann 001 (CoRR, 2012)

Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation. - Bernd Bischl; Olaf Mersmann; Heike Trautmann; Claus Weihs (Evol. Comput., 2012)

Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique. - Christian Domínguez-Medina; Günter Rudolph; Oliver Schütze 001; Heike Trautmann (IEEE Congress on Evolutionary Computation, 2013)

Reactive strategy choice in StarCraft by means of Fuzzy Control. - Mike Preuss; Daniel Kozakowski; Johan Hagelbäck; Heike Trautmann (CIG, 2013)

Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation. - Günter Rudolph; Heike Trautmann; Soumyadip Sengupta; Oliver Schütze 001 (EMO, 2013)

Preference Articulation by Means of the R2 Indicator. - Tobias Wagner 001; Heike Trautmann; Dimo Brockhoff (EMO, 2013)

A feature-based comparison of local search and the christofides algorithm for the travelling salesperson problem. - Samadhi Nallaperuma; Markus Wagner 007; Frank Neumann 001; Bernd Bischl; Olaf Mersmann; Heike Trautmann (FOGA, 2013)

Directed search method for indicator-based multi-objective evolutionary algorithms. - Víctor Adrián Sosa-Hernández; Oliver Schütze 001; Günter Rudolph; Heike Trautmann (GECCO (Companion), 2013)

R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection. - Heike Trautmann; Tobias Wagner 001; Dimo Brockhoff (LION, 2013)

A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem. - Olaf Mersmann; Bernd Bischl; Heike Trautmann; Markus Wagner 007; Jakob Bossek; Frank Neumann 001 (Ann. Math. Artif. Intell., 2013)

An Aspiration Set EMOA Based on Averaged Hausdorff Distances. - Günter Rudolph; Oliver Schütze 001; Christian Grimme; Heike Trautmann (LION, 2014)

Stopping Criteria for Multimodal Optimization. - Simon Wessing; Mike Preuss; Heike Trautmann (PPSN, 2014)

An Overview of Topic Discovery in Twitter Communication through Social Media Analytics. - Andrey Chinnov; Pascal Kerschke; Christian Meske; Stefan Stieglitz; Heike Trautmann (AMCIS, 2015)

Multi-objective Analysis of Approaches to Dynamic Routing of a Vehicle. - Christian Grimme; Stephan Meisel; Heike Trautmann; Günter Rudolph; Martin Wölck (ECIS, 2015)

On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs. - Víctor Adrián Sosa-Hernández; Oliver Schütze 001; Heike Trautmann; Günter Rudolph (EMO (2), 2015)

Detecting Funnel Structures by Means of Exploratory Landscape Analysis. - Pascal Kerschke; Mike Preuss; Simon Wessing; Heike Trautmann (GECCO, 2015)

Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. - Luis Martí; Christian Grimme; Pascal Kerschke; Heike Trautmann; Günter Rudolph (GECCO (Companion), 2015)

Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle. - Stephan Meisel; Christian Grimme; Jakob Bossek; Martin Wölck; Günter Rudolph; Heike Trautmann (GECCO, 2015)

Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection. - Lars Kotthoff; Pascal Kerschke; Holger H. Hoos; Heike Trautmann (LION, 2015)

The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems. - Víctor Adrián Sosa-Hernández; Adriana Lara; Heike Trautmann; Günter Rudolph; Oliver Schütze 001 (NEO, 2015)

2 Indicator-Based Multiobjective Search. - Dimo Brockhoff; Tobias Wagner 001; Heike Trautmann (Evol. Comput., 2015)

Analyzing the BBOB Results by Means of Benchmarking Concepts. - Olaf Mersmann; Mike Preuss; Heike Trautmann; Bernd Bischl; Claus Weihs (Evol. Comput., 2015)

Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference. - Jakob Bossek; Heike Trautmann (AI*IA, 2016)

The R-Package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problems. - Pascal Kerschke; Heike Trautmann (CEC, 2016)

On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. - Günter Rudolph; Oliver Schütze 001; Heike Trautmann (EvoApplications (2), 2016)

Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models. - Pascal Kerschke; Mike Preuss; Simon Wessing; Heike Trautmann (GECCO, 2016)

MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. - Aymeric Blot; Holger H. Hoos; Laetitia Jourdan; Marie-Éléonore Kessaci-Marmion; Heike Trautmann (LION, 2016)

Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers. - Jakob Bossek; Heike Trautmann (LION, 2016)

Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. - Pascal Kerschke; Hao Wang 025; Mike Preuss; Christian Grimme; André H. Deutz; Heike Trautmann; Michael Emmerich 001 (PPSN, 2016)

Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. - Günter Rudolph; Oliver Schütze 001; Christian Grimme; Christian Domínguez-Medina; Heike Trautmann (Comput. Optim. Appl., 2016)

An Ontology of Preference-Based Multiobjective Evolutionary Algorithms. - Longmei Li; Iryna Yevseyeva; Vitor Basto-Fernandes; Heike Trautmann; Ning Jing; Michael T. M. Emmerich (CoRR, 2016)

Automated Algorithm Selection and Configuration (Dagstuhl Seminar 16412). - Holger H. Hoos; Frank Neumann 001; Heike Trautmann (Dagstuhl Reports, 2016)

The hypervolume based directed search method for multi-objective optimization problems. - Oliver Schütze 001; Víctor Adrián Sosa-Hernández; Heike Trautmann; Günter Rudolph (J. Heuristics, 2016)

Customer Service in Social Media: An Empirical Study of the Airline Industry. - Matthias Carnein; Leschek Homann; Heike Trautmann; Gottfried Vossen; Karsten Kraume (BTW (Workshops), 2017)

An Empirical Comparison of Stream Clustering Algorithms. - Matthias Carnein; Dennis Assenmacher; Heike Trautmann (Conf. Computing Frontiers, 2017)

Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms. - Longmei Li; Iryna Yevseyeva; Vitor Basto-Fernandes; Heike Trautmann; Ning Jing; Michael Emmerich 001 (EMO, 2017)

Multi-objective Optimization for Liner Shipping Fleet Repositioning. - Kevin Tierney; Joshua Handali; Christian Grimme; Heike Trautmann (EMO, 2017)

Stream Clustering of Chat Messages with Applications to Twitch Streams. - Matthias Carnein; Dennis Assenmacher; Heike Trautmann (ER Workshops, 2017)

Towards Efficient and Informative Omni-Channel Customer Relationship Management. - Matthias Carnein; Markus Heuchert; Leschek Homann; Heike Trautmann; Gottfried Vossen; Jörg Becker 001; Karsten Kraume (ER Workshops, 2017)

Social Bots: Human-Like by Means of Human Control? - Christian Grimme; Mike Preuss; Lena Adam; Heike Trautmann (Big Data, 2017)

Local search effects in bi-objective orienteering. - Jakob Bossek; Christian Grimme; Stephan Meisel; Günter Rudolph; Heike Trautmann (GECCO, 2018)

Parameterization of state-of-the-art performance indicators: a robustness study based on inexact TSP solvers. - Pascal Kerschke; Jakob Bossek; Heike Trautmann (GECCO (Companion), 2018)

Multi-objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. - Jakob Bossek; Heike Trautmann (LION, 2018)

Accurate WiFi-Based Indoor Positioning with Continuous Location Sampling. - Jesper E. van Engelen; J. J. van Lier; Frank W. Takes; Heike Trautmann (ECML/PKDD (3), 2018)

evoStream - Evolutionary Stream Clustering Utilizing Idle Times. - Matthias Carnein; Heike Trautmann (Big Data Res., 2018)

Leveraging TSP Solver Complementarity through Machine Learning. - Pascal Kerschke; Lars Kotthoff; Jakob Bossek; Holger H. Hoos; Heike Trautmann (Evol. Comput., 2018)

Multiobjective evolutionary algorithms based on target region preferences. - Longmei Li; Yali Wang 002; Heike Trautmann; Ning Jing; Michael Emmerich 001 (Swarm Evol. Comput., 2018)

Bi-objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. - Jakob Bossek; Christian Grimme; Stephan Meisel; Günter Rudolph; Heike Trautmann (EMO, 2019)

Multimodality in Multi-objective Optimization - More Boon than Bane? - Christian Grimme; Pascal Kerschke; Heike Trautmann (EMO, 2019)

Evolving diverse TSP instances by means of novel and creative mutation operators. - Jakob Bossek; Pascal Kerschke; Aneta Neumann; Markus Wagner 007; Frank Neumann 001; Heike Trautmann (FOGA, 2019)

Inside the Tool Set of Automation: Free Social Bot Code Revisited. - Dennis Assenmacher; Lena Adam; Lena Frischlich; Heike Trautmann; Christian Grimme (MISDOOM, 2019)

Automated Detection of Nostalgic Text in the Context of Societal Pessimism. - Lena Clever; Lena Frischlich; Heike Trautmann; Christian Grimme (MISDOOM, 2019)

Customer Segmentation Based on Transactional Data Using Stream Clustering. - Matthias Carnein; Heike Trautmann (PAKDD (1), 2019)

Towards Automated Configuration of Stream Clustering Algorithms. - Matthias Carnein; Heike Trautmann; Albert Bifet; Bernhard Pfahringer (PKDD/ECML Workshops (1), 2019)

A Recommender System Based on Omni-Channel Customer Data. - Matthias Carnein; Leschek Homann; Heike Trautmann; Gottfried Vossen (CBI (1), 2019)

Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms. - Matthias Carnein; Heike Trautmann (Bus. Inf. Syst. Eng., 2019)

Openbots. - Dennis Assenmacher; Lena Adam; Lena Frischlich; Heike Trautmann; Christian Grimme (CoRR, 2019)

Foreword. - Holger H. Hoos; Frank Neumann 001; Heike Trautmann (Evol. Comput., 2019)

Automated Algorithm Selection: Survey and Perspectives. - Pascal Kerschke; Holger H. Hoos; Frank Neumann 001; Heike Trautmann (Evol. Comput., 2019)

Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning. - Pascal Kerschke; Heike Trautmann (Evol. Comput., 2019)

Search Dynamics on Multimodal Multiobjective Problems. - Pascal Kerschke; Hao Wang 025; Mike Preuss; Christian Grimme; André H. Deutz; Heike Trautmann; Michael T. M. Emmerich (Evol. Comput., 2019)

Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. - Jakob Bossek; Christian Grimme; Günter Rudolph; Heike Trautmann (CEC, 2020)

Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. - Jakob Bossek; Pascal Kerschke; Heike Trautmann (CEC, 2020)

Towards Real-Time and Unsupervised Campaign Detection in Social Media. - Dennis Assenmacher; Lena Adam; Heike Trautmann; Christian Grimme (FLAIRS, 2020)

Dynamic bi-objective routing of multiple vehicles. - Jakob Bossek; Christian Grimme; Heike Trautmann (GECCO, 2020)

A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. - Dennis Assenmacher; Lena Clever; Janina Susanne Pohl; Heike Trautmann; Christian Grimme (HCI (14), 2020)

Building an Integrated Comment Moderation System - Towards a Semi-automatic Moderation Tool. - Dennis M. Riehle; Marco Niemann; Jens Brunk; Dennis Assenmacher; Heike Trautmann; Jörg Becker 001 (HCI (15), 2020)

Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. - Moritz Seiler; Heike Trautmann; Pascal Kerschke (IJCNN, 2020)

confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. - Matthias Carnein; Heike Trautmann; Albert Bifet; Bernhard Pfahringer (LION, 2020)

Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. - Moritz Seiler; Janina Pohl; Jakob Bossek; Pascal Kerschke; Heike Trautmann (PPSN (1), 2020)

Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. - Raphael Patrick Prager; Heike Trautmann; Hao Wang 025; Thomas Bäck; Pascal Kerschke (SSCI, 2020)

Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. - Vera Steinhoff; Pascal Kerschke; Pelin Aspar; Heike Trautmann; Christian Grimme (SSCI, 2020)

A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. - Jakob Bossek; Pascal Kerschke; Heike Trautmann (Appl. Soft Comput., 2020)

Multi3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-objective Space by Means of Multiobjectivization. - Pelin Aspar; Pascal Kerschke; Vera Steinhoff; Heike Trautmann; Christian Grimme (EMO, 2021)

On the potential of normalized TSP features for automated algorithm selection. - Jonathan Heins; Jakob Bossek; Janina Pohl; Moritz Seiler; Heike Trautmann; Pascal Kerschke (FOGA, 2021)

RP-Mod&RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets. - Dennis Assenmacher; Marco Niemann; Kilian Müller; Moritz Seiler; Dennis M. Riehle; Heike Trautmann (NeurIPS Datasets and Benchmarks, 2021)

Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization. - Raphael Patrick Prager; Moritz Vinzent Seiler; Heike Trautmann; Pascal Kerschke (SSCI, 2021)

Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization. - Christian Grimme; Pascal Kerschke; Pelin Aspar; Heike Trautmann; Mike Preuss; André H. Deutz; Hao Wang 025; Michael Emmerich 001 (Comput. Oper. Res., 2021)

What is it about humanity that we can't give away to intelligent machines? A European perspective. - Crispin R. Coombs; Patrick Stacey; Peter Kawalek; Boyka Simeonova; Jörg Becker 001; Katrin Bergener; João Álvaro Carvalho; Marcelo Fantinato; Niels F. Garmann-Johnsen; Christian Grimme; Armin Stein; Heike Trautmann (Int. J. Inf. Manag., 2021)

Introduction to the special issue of the ECML PKDD 2021 journal track. - Annalisa Appice; Sergio Escalera; José A. Gámez 001; Heike Trautmann (Mach. Learn., 2021)

Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption. - Dennis Assenmacher; Heike Trautmann (ACIIDS (1), 2022)

On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems. - Jeroen Rook; Heike Trautmann; Jakob Bossek; Christian Grimme (GECCO Companion, 2022)

A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes. - Moritz Vinzent Seiler; Raphael Patrick Prager; Pascal Kerschke; Heike Trautmann (GECCO, 2022)

Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches. - Janina Susanne Pohl; Dennis Assenmacher; Moritz Vinzent Seiler; Heike Trautmann; Christian Grimme (ICWSM Workshops, 2022)

BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. - Jonathan Heins; Jeroen Rook; Lennart Schäpermeier; Pascal Kerschke; Jakob Bossek; Heike Trautmann (PPSN (1), 2022)

Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods. - Raphael Patrick Prager; Moritz Vinzent Seiler; Heike Trautmann; Pascal Kerschke (PPSN (1), 2022)

HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. - Lennart Schneider; Lennart Schäpermeier; Raphael Patrick Prager; Bernd Bischl; Heike Trautmann; Pascal Kerschke (PPSN (1), 2022)

HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. - Lennart Schneider; Lennart Schäpermeier; Raphael Patrick Prager; Bernd Bischl; Heike Trautmann; Pascal Kerschke (CoRR, 2022)

Estimation of component reliability from superposed renewal processes by means of latent variables. - Agatha S. Rodrigues; Pascal Kerschke; Carlos Alberto De Bragança Pereira; Heike Trautmann; Carolin Wagner; Bernd Hellingrath; Adriano Polpo (Comput. Stat., 2022)

Correction to: Estimation of component reliability from superposed renewal processes by means of latent variables. - Agatha S. Rodrigues; Pascal Kerschke; Carlos Alberto De Bragança Pereira; Heike Trautmann; Carolin Wagner; Bernd Hellingrath; Adriano Polpo (Comput. Stat., 2022)

Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. - Lennart Schäpermeier; Pascal Kerschke; Christian Grimme; Heike Trautmann (EMO, 2023)

Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. - Raphael Patrick Prager; Heike Trautmann (EvoApplications@EvoStar, 2023)

Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. - Raphael Patrick Prager; Konstantin Dietrich; Lennart Schneider; Lennart Schäpermeier; Bernd Bischl; Pascal Kerschke; Heike Trautmann; Olaf Mersmann (FOGA, 2023)

Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems. - Raphael Patrick Prager; Heike Trautmann (GECCO Companion, 2023)

Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. - Moritz Vinzent Seiler; Jeroen Rook; Jonathan Heins; Oliver Ludger Preuß; Jakob Bossek; Heike Trautmann (SSCI, 2023)

A study on the effects of normalized TSP features for automated algorithm selection. - Jonathan Heins; Jakob Bossek; Janina Pohl; Moritz Seiler; Heike Trautmann; Pascal Kerschke (Theor. Comput. Sci., 2023)

The objective that freed me: a multi-objective local search approach for continuous single-objective optimization. - Pelin Aspar; Vera Steinhoff; Lennart Schäpermeier; Pascal Kerschke; Heike Trautmann; Christian Grimme (Nat. Comput., 2023)

On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. - Oliver Ludger Preuß; Jeroen Rook; Heike Trautmann (EvoApplications@EvoStar, 2024)

Multi-objective Ranking using Bootstrap Resampling. - Jeroen Rook; Holger H. Hoos; Heike Trautmann (GECCO Companion, 2024)

Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection. - Moritz Seiler; Urban Skvorc; Carola Doerr; Heike Trautmann (LION, 2024)

Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization. - Konstantin Dietrich; Raphael Patrick Prager; Carola Doerr; Heike Trautmann (PPSN (2), 2024)

Learned Features vs. Classical ELA on Affine BBOB Functions. - Moritz Seiler; Urban Skvorc; Gjorgjina Cenikj; Carola Doerr; Heike Trautmann (PPSN (2), 2024)

Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems. - Moritz Vinzent Seiler; Pascal Kerschke; Heike Trautmann (CoRR, 2024)

MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler. - Diederick Vermetten; Jeroen Rook; Oliver Ludger Preuß; Jacob de Nobel; Carola Doerr; Manuel López-Ibáñez 001; Heike Trautmann; Thomas Bäck (CoRR, 2024)

Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. - Raphael Patrick Prager; Heike Trautmann (Evol. Comput., 2024)

MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler. - Diederick Vermetten; Jeroen Rook; Oliver L. Preuß; Jacob de Nobel; Carola Doerr; Manuel López-Ibáñez 001; Heike Trautmann; Thomas Bäck (EMO (1), 2025)

Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes. - Oliver Ludger Preuß; Carolin Mensendiek; Jeroen Rook; Jakob Bossek; Heike Trautmann (GECCO, 2025)

Deep reinforcement learning for instance-specific algorithm configuration. - Elias Schede; Moritz Seiler; Kevin Tierney; Heike Trautmann (GECCO, 2025)

RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces. - Moritz Vinzent Seiler; Oliver Ludger Preuß; Heike Trautmann (GECCO, 2025)

Exploratory Landscape Analysis for Mixed-Variable Problems. - Raphael Patrick Prager; Heike Trautmann (IEEE Trans. Evol. Comput., 2025)