| 2026 | GECCO | Hot off the Press: An Evolutionary Approach for the Computation of ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. | Carlos Ignacio Hernndez Castellanos, Angel E. Rodriguez-Fernandez, Lennart Schpermeier, Oliver Cuate, Heike Trautmann, Oliver Schuetze |
| 2026 | GECCO | Digging to the Ground Truth: Solving Multi-objective Gray-Box Optimization Problems through Hyperplane Elimination. | Carolin Mensendiek, Oliver Ludger Preu, Jeroen Rook, Francisco Chicano, Darrell Whitley, Heike Trautmann |
| 2026 | GECCO | Multi-Objective Pipeline Optimisation and Configuration of Automatic Train Operation Trajectories. | Carolin Mensendiek, Henrik Zeipel, Oliver Ludger Preu, Moritz Vinzent Seiler, Walter Sextro, Heike Trautmann |
| 2025 | EMO | MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler. | Diederick Vermetten, Jeroen Rook, Oliver Ludger Preu, Jacob de Nobel, Carola Doerr, Manuel Lpez-Ibez, Heike Trautmann, Thomas Bck |
| 2025 | FOGA | Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances. | Jeroen Rook, Quentin Renau, Heike Trautmann, Emma Hart |
| 2025 | GECCO | Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes. | Oliver Ludger Preu, Carolin Mensendiek, Jeroen Rook, Jakob Bossek, Heike Trautmann |
| 2025 | GECCO | Hot off the Press: Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. | Angel E. Rodriguez-Fernandez, Lennart Schpermeier, Carlos Ignacio Hernndez Castellanos, Pascal Kerschke, Heike Trautmann, Oliver Schtze |
| 2025 | GECCO | Deep reinforcement learning for instance-specific algorithm configuration. | Elias Schede, Moritz Seiler, Kevin Tierney, Heike Trautmann |
| 2025 | GECCO | RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces. | Moritz Vinzent Seiler, Oliver Ludger Preu, Heike Trautmann |
| 2024 | GECCO | Multi-objective Ranking using Bootstrap Resampling. | Jeroen Rook, Holger H. Hoos, Heike Trautmann |
| 2024 | PPSN | Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization. | Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann |
| 2024 | PPSN | Learned Features vs. Classical ELA on Affine BBOB Functions. | Moritz Seiler, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, Heike Trautmann |
| 2023 | EMO | Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. | Lennart Schpermeier, Pascal Kerschke, Christian Grimme, Heike Trautmann |
| 2023 | FOGA | Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. | Raphael Patrick Prager, Konstantin Dietrich, Lennart Schneider, Lennart Schpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, Olaf Mersmann |
| 2023 | GECCO | Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems. | Raphael Patrick Prager, Heike Trautmann |
| 2022 | ACIIDS | Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption. | Dennis Assenmacher, Heike Trautmann |
| 2022 | GECCO | On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems. | Jeroen Rook, Heike Trautmann, Jakob Bossek, Christian Grimme |
| 2022 | GECCO | 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 |
| 2022 | ICWSM | Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches. | Janina Susanne Pohl, Dennis Assenmacher, Moritz Vinzent Seiler, Heike Trautmann, Christian Grimme |
| 2022 | PPSN | BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. | Jonathan Heins, Jeroen Rook, Lennart Schpermeier, Pascal Kerschke, Jakob Bossek, Heike Trautmann |
| 2022 | PPSN | 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 |
| 2022 | PPSN | HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. | Lennart Schneider, Lennart Schpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke |
| 2021 | EMO | Multi | Pelin Aspar, Pascal Kerschke, Vera Steinhoff, Heike Trautmann, Christian Grimme |
| 2021 | FOGA | On the potential of normalized TSP features for automated algorithm selection. | Jonathan Heins, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, Pascal Kerschke |
| 2020 | CEC | Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. | Jakob Bossek, Christian Grimme, Gnter Rudolph, Heike Trautmann |
| 2020 | CEC | Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. | Jakob Bossek, Pascal Kerschke, Heike Trautmann |
| 2020 | FlAIRS | Towards Real-Time and Unsupervised Campaign Detection in Social Media. | Dennis Assenmacher, Lena Adam, Heike Trautmann, Christian Grimme |
| 2020 | GECCO | Dynamic bi-objective routing of multiple vehicles. | Jakob Bossek, Christian Grimme, Heike Trautmann |
| 2020 | HCI | A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. | Dennis Assenmacher, Lena Clever, Janina Susanne Pohl, Heike Trautmann, Christian Grimme |
| 2020 | HCI | Building an Integrated Comment Moderation System - Towards a Semi-automatic Moderation Tool. | Dennis M. Riehle, Marco Niemann, Jens Brunk, Dennis Assenmacher, Heike Trautmann, Jrg Becker |
| 2020 | IJCNN | Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. | Moritz Seiler, Heike Trautmann, Pascal Kerschke |
| 2020 | PPSN | 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 |
| 2019 | EMO | Bi-objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. | Jakob Bossek, Christian Grimme, Stephan Meisel, Gnter Rudolph, Heike Trautmann |
| 2019 | EMO | Multimodality in Multi-objective Optimization - More Boon than Bane? | Christian Grimme, Pascal Kerschke, Heike Trautmann |
| 2019 | FOGA | Evolving diverse TSP instances by means of novel and creative mutation operators. | Jakob Bossek, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann, Heike Trautmann |
| 2019 | PAKDD | Customer Segmentation Based on Transactional Data Using Stream Clustering. | Matthias Carnein, Heike Trautmann |
| 2018 | GECCO | Local search effects in bi-objective orienteering. | Jakob Bossek, Christian Grimme, Stephan Meisel, Gnter Rudolph, Heike Trautmann |
| 2018 | GECCO | Parameterization of state-of-the-art performance indicators: a robustness study based on inexact TSP solvers. | Pascal Kerschke, Jakob Bossek, Heike Trautmann |
| 2017 | BTW | Customer Service in Social Media: An Empirical Study of the Airline Industry. | Matthias Carnein, Leschek Homann, Heike Trautmann, Gottfried Vossen, Karsten Kraume |
| 2017 | EMO | Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms. | Longmei Li, Iryna Yevseyeva, Vitor Basto-Fernandes, Heike Trautmann, Ning Jing, Michael Emmerich |
| 2017 | EMO | Multi-objective Optimization for Liner Shipping Fleet Repositioning. | Kevin Tierney, Joshua Handali, Christian Grimme, Heike Trautmann |
| 2017 | ER | Stream Clustering of Chat Messages with Applications to Twitch Streams. | Matthias Carnein, Dennis Assenmacher, Heike Trautmann |
| 2017 | ER | Towards Efficient and Informative Omni-Channel Customer Relationship Management. | Matthias Carnein, Markus Heuchert, Leschek Homann, Heike Trautmann, Gottfried Vossen, Jrg Becker, Karsten Kraume |
| 2016 | CEC | The R-Package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problems. | Pascal Kerschke, Heike Trautmann |
| 2016 | GECCO | Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models. | Pascal Kerschke, Mike Preuss, Simon Wessing, Heike Trautmann |
| 2016 | PPSN | Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. | Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, Andr H. Deutz, Heike Trautmann, Michael Emmerich |
| 2015 | EMO | On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs. | Vctor Adrin Sosa-Hernndez, Oliver Schtze, Heike Trautmann, Gnter Rudolph |
| 2015 | GECCO | Detecting Funnel Structures by Means of Exploratory Landscape Analysis. | Pascal Kerschke, Mike Preuss, Simon Wessing, Heike Trautmann |
| 2015 | GECCO | Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. | Luis Mart, Christian Grimme, Pascal Kerschke, Heike Trautmann, Gnter Rudolph |
| 2015 | GECCO | Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle. | Stephan Meisel, Christian Grimme, Jakob Bossek, Martin Wlck, Gnter Rudolph, Heike Trautmann |
| 2014 | PPSN | Stopping Criteria for Multimodal Optimization. | Simon Wessing, Mike Preuss, Heike Trautmann |
| 2013 | CEC | Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique. | Christian Domnguez-Medina, Gnter Rudolph, Oliver Schtze, Heike Trautmann |
| 2013 | EMO | Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation. | Gnter Rudolph, Heike Trautmann, Soumyadip Sengupta, Oliver Schtze |
| 2013 | EMO | Preference Articulation by Means of the R2 Indicator. | Tobias Wagner, Heike Trautmann, Dimo Brockhoff |
| 2013 | FOGA | A feature-based comparison of local search and the christofides algorithm for the travelling salesperson problem. | Samadhi Nallaperuma, Markus Wagner, Frank Neumann, Bernd Bischl, Olaf Mersmann, Heike Trautmann |
| 2013 | GECCO | Directed search method for indicator-based multi-objective evolutionary algorithms. | Vctor Adrin Sosa-Hernndez, Oliver Schtze, Gnter Rudolph, Heike Trautmann |
| 2012 | GECCO | Algorithm selection based on exploratory landscape analysis and cost-sensitive learning. | Bernd Bischl, Olaf Mersmann, Heike Trautmann, Mike Preu |
| 2012 | GECCO | On the properties of the R2 indicator. | Dimo Brockhoff, Tobias Wagner, Heike Trautmann |
| 2011 | EMO | A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms. | Tobias Wagner, Heike Trautmann, Luis Mart |
| 2011 | GECCO | Exploratory landscape analysis. | Olaf Mersmann, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs, Gnter Rudolph |
| 2010 | CEC | Benchmarking evolutionary multiobjective optimization algorithms. | Olaf Mersmann, Heike Trautmann, Boris Naujoks, Claus Weihs |
| 2010 | CEC | Online convergence detection for evolutionary multi-objective algorithms revisited. | Tobias Wagner, Heike Trautmann |
| 2010 | PPSN | Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis. | Olaf Mersmann, Mike Preuss, Heike Trautmann |
| 2010 | PPSN | Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities. | Sanaz Mostaghim, Heike Trautmann, Olaf Mersmann |
| 2010 | PPSN | New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization. | Thomas Vo, Heike Trautmann, Christian Igel |
| 2009 | CEC | Online convergence detection for multiobjective aerodynamic applications. | Boris Naujoks, Heike Trautmann |
| 2009 | CEC | Pareto-dominance in noisy environments. | Heike Trautmann, Jrn Mehnen, Boris Naujoks |
| 2009 | EMO | OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing. | Tobias Wagner, Heike Trautmann, Boris Naujoks |
| 2008 | PPSN | A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing. | Heike Trautmann, Uwe Ligges, Jrn Mehnen, Mike Preuss |
| 2007 | CEC | Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes. | Jrn Mehnen, Heike Trautmann, Ashutosh Tiwari |