| 2026 | GECCO | Inexact Sorting in the USGS Operator for the Bi-Objective Minimum Spanning Tree Problem. | Fabian Fudali, Urban Skvorc, Christian Grimme, Jakob Bossek |
| 2025 | AAAI | KernelMatmul: Scaling Gaussian Processes to Large Time Series. | Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek |
| 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 | Cluster Prevention in Evolutionary Diversity Optimization for Parallel Machine Scheduling. | Dominic Wittner, Jakob Bossek |
| 2024 | GECCO | Generalised Kruskal Mutation for the Multi-Objective Minimum Spanning Tree Problem. | Jakob Bossek, Christian Grimme |
| 2024 | GECCO | Guiding Quality Diversity on Monotone Submodular Functions: Customising the Feature Space by Adding Boolean Conjunctions. | Marcus Schmidbauer, Andre Opris, Jakob Bossek, Frank Neumann, Dirk Sudholt |
| 2023 | GECCO | On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem. | Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2023 | GECCO | Runtime Analysis of Quality Diversity Algorithms. | Jakob Bossek, Dirk Sudholt |
| 2023 | GECCO | Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space. | Alejandro Marrero, Eduardo Segredo, Emma Hart, Jakob Bossek, Aneta Neumann |
| 2022 | GECCO | Exploring the feature space of TSP instances using quality diversity. | Jakob Bossek, Frank Neumann |
| 2022 | GECCO | Evolutionary diversity optimization for combinatorial optimization: tutorial at GECCO'22, Boston, USA. | Jakob Bossek, Aneta Neumann, Frank Neumann |
| 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 | 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 | Co-evolutionary Diversity Optimisation for the Traveling Thief Problem. | Adel Nikfarjam, Aneta Neumann, Jakob Bossek, Frank Neumann |
| 2021 | FOGA | Do additional optima speed up evolutionary algorithms? | Jakob Bossek, Dirk Sudholt |
| 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 |
| 2021 | FOGA | Computing diverse sets of high quality TSP tours by EAX-based evolutionary diversity optimisation. | Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2021 | GECCO | Evolutionary diversity optimization and the minimum spanning tree problem. | Jakob Bossek, Frank Neumann |
| 2021 | GECCO | Generating instances with performance differences for more than just two algorithms. | Jakob Bossek, Markus Wagner |
| 2021 | GECCO | Breeding diverse packings for the knapsack problem by means of diversity-tailored evolutionary algorithms. | Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2021 | GECCO | Diversifying greedy sampling and evolutionary diversity optimisation for constrained monotone submodular functions. | Aneta Neumann, Jakob Bossek, Frank Neumann |
| 2021 | GECCO | Entropy-based evolutionary diversity optimisation for the traveling salesperson problem. | Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann |
| 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 | GECCO | More effective randomized search heuristics for graph coloring through dynamic optimization. | Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt |
| 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 | GECCO | Dynamic bi-objective routing of multiple vehicles. | Jakob Bossek, Christian Grimme, Heike Trautmann |
| 2020 | GECCO | Evolving diverse sets of tours for the travelling salesperson problem. | Anh Viet Do, Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2020 | GECCO | Runtime analysis of evolutionary algorithms with biased mutation for the multi-objective minimum spanning tree problem. | Vahid Roostapour, Jakob Bossek, Frank Neumann |
| 2020 | PPSN | Evolving Sampling Strategies for One-Shot Optimization Tasks. | Jakob Bossek, Carola Doerr, Pascal Kerschke, Aneta Neumann, Frank Neumann |
| 2020 | PPSN | Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions. | Jakob Bossek, Aneta Neumann, Frank Neumann |
| 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 | 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 | FOGA | Time complexity analysis of RLS and (1 + 1) EA for the edge coloring problem. | Jakob Bossek, Dirk Sudholt |
| 2019 | GECCO | Runtime analysis of randomized search heuristics for dynamic graph coloring. | Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt |
| 2019 | GECCO | On the benefits of biased edge-exchange mutation for the multi-criteria spanning tree problem. | Jakob Bossek, Christian Grimme, Frank Neumann |
| 2018 | GECCO | Performance assessment of multi-objective evolutionary algorithms with the R package ecr. | Jakob Bossek |
| 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 | GECCO | ecr 2.0: a modular framework for evolutionary computation in R. | Jakob Bossek |
| 2015 | GECCO | Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement. | Jakob Bossek, Bernd Bischl, Tobias Wagner, 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 |