| 2025 | Runtime Analysis of a Compact Genetic Algorithm with High Selection Pressure. | Sumit Adak, Carsten Witt |
| 2025 | Distributed Evolutionary Algorithms with Adversarial Corruption. | Brahim Aboutaib, Andrew M. Sutton |
| 2025 | Multi-parameter Control for the (1+(λ, λ))-GA on OneMax via Deep Reinforcement Learning. | Tai Nguyen, Phong Le, Carola Doerr, Nguyen Dang |
| 2023 | Partition Crossover can Linearize Local Optima Lattices of k-bounded Pseudo-Boolean Functions. | Darrell Whitley, Gabriela Ochoa, Francisco Chicano |
| 2023 | First Complexity Results for Evolutionary Knowledge Transfer. | Eric O. Scott, Kenneth A. De Jong |
| 2023 | 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 | Convergence Properties of the (μ/μI, λ)-ES on the Rastrigin Function. | Amir Omeradzic, Hans-Georg Beyer |
| 2023 | Analyzing the Fourier Representation of Permutation-Based Combinatorial Optimization Problems. | Jos Antonio Lozano |
| 2023 | Self-adaptation Can Improve the Noise-tolerance of Evolutionary Algorithms. | Per Kristian Lehre, Xiaoyu Qin |
| 2023 | Fixed-Parameter Tractability of the (1 + 1) Evolutionary Algorithm on Random Planted Vertex Covers. | Jack Kearney, Frank Neumann, Andrew M. Sutton |
| 2023 | General Boolean Function Benchmark Suite. | Roman Kalkreuth, Zdenek Vascek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bck |
| 2023 | First Steps Towards a Runtime Analysis of Neuroevolution. | Paul Fischer, Emil Lundt Larsen, Carsten Witt |
| 2023 | Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation. | Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Shishen Lin |
| 2023 | Bridging Theory and Practice in Evolutionary Computation? | Carola Doerr |
| 2023 | Weighted Mutation of Connections To Mitigate Search Space Limitations in Cartesian Genetic Programming. | Henning Cui, David Ptzel, Andreas Margraf, Jrg Hhner |
| 2023 | Using Automated Algorithm Configuration for Parameter Control. | Deyao Chen, Maxim Buzdalov, Carola Doerr, Nguyen Dang |
| 2023 | Finding Antimagic Labelings of Trees by Evolutionary Search. | Luke Branson, Andrew M. Sutton, Xiankun Yan |
| 2023 | Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations. | Kirill A. Antonov, Anna V. Kononova, Thomas Bck, Niki van Stein |
| 2023 | Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax. | Denis Antipov, Aneta Neumann, Frank Neumann |
| 2021 | On crossing fitness valleys with majority-vote crossover and estimation-of-distribution algorithms. | Carsten Witt |
| 2021 | Computing diverse sets of high quality TSP tours by EAX-based evolutionary diversity optimisation. | Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2021 | Non-local optimization: imposing structure on optimization problems by relaxation. | Nils Mller, Tobias Glasmachers |
| 2021 | Asymptotic convergence rates for averaging strategies. | Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud |
| 2021 | On the potential of normalized TSP features for automated algorithm selection. | Jonathan Heins, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, Pascal Kerschke |
| 2021 | Self-adjusting offspring population sizes outperform fixed parameters on the cliff function. | Mario Alejandro Hevia Fajardo, Dirk Sudholt |