| 2026 | GECCO | Hot off the Press: BONO-Bench: A Comprehensive Test Suite for Bi-objective Numerical Optimization with Traceable Pareto Sets. | Lennart Schpermeier, Pascal Kerschke |
| 2026 | HCI | An Interactive Dashboard for Assessing the Performance-Interpretability Trade-off in Spatiotemporal Regression Tasks. | Markus Leyser, Pascal Kerschke |
| 2026 | PPSN | The Suffering Salesperson - Measuring the Difficulty of TSP Instances and Generating Instances with Weighted Anytime Runtime Performance. | Jonathan Heins, Anna Franke, Markus Leyser, Sebastian Dengel, Pascal Kerschke |
| 2026 | PPSN | Efficient AB-Cycle Fusion: Boosting GPX and Assessing Its Impact on EAX. | Jonathan Heins, Pascal Kerschke, Darrell Whitley |
| 2025 | FOGA | Clearing the Combinatorial Fog: Tracing the Hidden Paths of TSP Heuristics. | Jonathan Heins, Sebastian Dengel, Darrell Whitley, Pascal Kerschke |
| 2025 | GECCO | To Repair or Not to Repair? Investigating the Importance of AB-Cycles for the State-of-the-Art TSP Heuristic EAX. | Jonathan Heins, Darrell Whitley, Pascal Kerschke |
| 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 |
| 2024 | GECCO | Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. | Konstantin Dietrich, Diederick Vermetten, Carola Doerr, Pascal Kerschke |
| 2024 | PPSN | Dancing to the State of the Art? - How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem. | Jonathan Heins, Lennart Schpermeier, Pascal Kerschke, Darrell Whitley |
| 2024 | PPSN | Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration. | Lennart Schpermeier, Pascal Kerschke |
| 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 | Evaluation of Algorithms from the Nevergrad Toolbox on the Strictly Box-Constrained SBOX-COST Benchmarking Suite. | Konstantin Dietrich, Pascal Kerschke |
| 2023 | GECCO | Exploratory Landscape Analysis. | Pascal Kerschke, Mike Preuss |
| 2022 | GECCO | MOLE: digging tunnels through multimodal multi-objective landscapes. | Lennart Schpermeier, Christian Grimme, Pascal Kerschke |
| 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 | ICMLA | Mixture of Decision Trees for Interpretable Machine Learning. | Simeon Brggenjrgen, Nina Schaaf, Pascal Kerschke, Marco F. Huber |
| 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 | EMO | To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes. | Lennart Schpermeier, Christian Grimme, Pascal Kerschke |
| 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 | Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. | Jakob Bossek, Pascal Kerschke, Heike Trautmann |
| 2020 | GECCO | The node weight dependent traveling salesperson problem: approximation algorithms and randomized search heuristics. | Jakob Bossek, Katrin Casel, Pascal Kerschke, Frank Neumann |
| 2020 | GECCO | Initial design strategies and their effects on sequential model-based optimization: an exploratory case study based on BBOB. | Jakob Bossek, Carola Doerr, Pascal Kerschke |
| 2020 | IJCNN | Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. | Moritz Seiler, Heike Trautmann, Pascal Kerschke |
| 2020 | PPSN | Evolving Sampling Strategies for One-Shot Optimization Tasks. | Jakob Bossek, Carola Doerr, Pascal Kerschke, Aneta Neumann, Frank Neumann |
| 2020 | PPSN | One PLOT to Show Them All: Visualization of Efficient Sets in Multi-objective Landscapes. | Lennart Schpermeier, Christian Grimme, 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 | 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 | GECCO | Making a case for (Hyper-)parameter tuning as benchmark problems. | Carola Doerr, Johann Dro, Pascal Kerschke |
| 2019 | GECCO | Exploratory landscape analysis. | Pascal Kerschke, Mike Preuss |
| 2019 | GECCO | Exploring the MLDA benchmark on the nevergrad platform. | Jrmy Rapin, Marcus Gallagher, Pascal Kerschke, Mike Preuss, Olivier Teytaud |
| 2019 | GECCO | Single- and multi-objective game-benchmark for evolutionary algorithms. | Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar |
| 2018 | GECCO | Parameterization of state-of-the-art performance indicators: a robustness study based on inexact TSP solvers. | Pascal Kerschke, Jakob Bossek, Heike Trautmann |
| 2018 | PPSN | Tutorials at PPSN 2018. | Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Mart, Yi Mei, Juan Julin Merelo Guervs, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang |
| 2018 | PPSN | Workshops at PPSN 2018. | Robin C. Purshouse, Christine Zarges, Sylvain Cussat-Blanc, Michael G. Epitropakis, Marcus Gallagher, Thomas Jansen, Pascal Kerschke, Xiaodong Li, Fernando G. Lobo, Julian F. Miller, Pietro S. Oliveto, Mike Preuss, Giovanni Squillero, Alberto Paolo Tonda, Markus Wagner, Thomas Weise, Dennis Wilson, Borys Wrbel, Ales Zamuda |
| 2017 | EMO | An Expedition to Multimodal Multi-objective Optimization Landscapes. | Pascal Kerschke, Christian Grimme |
| 2017 | GECCO | flaccogui: exploratory landscape analysis for everyone. | Christian Hanster, Pascal Kerschke |
| 2017 | GECCO | Exploratory landscape analysis: advanced tutorial at GECCO 2017. | Pascal Kerschke, Mike Preuss |
| 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 | 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 |