| 2025 | A First Runtime Analysis of the PAES-25: An Enhanced Variant of the Pareto Archived Evolution Strategy. Andre Opris |
| 2025 | A Fixed-Parameter Tractable GA for Data Clustering. Liam Gaeuman, Andrew M. Sutton |
| 2025 | A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers. Diederick Vermetten, Catalin-Viorel Dinu, Marcus Gallagher |
| 2025 | Additive Drift as an Optimization Problem for the (1 + 1)-ES. Alexander Jungeilges, Tobias Glasmachers |
| 2025 | Additive drift is all you need - if you are an evolution strategy. Tobias Glasmachers |
| 2025 | Analyzing Competitive Coevolution across Families of N-Player Games through Tree Search. Sean N. Harris, Daniel R. Tauritz, Samuel A. Mulder |
| 2025 | Answering Hamming. Joshua D. Knowles |
| 2025 | Availability of Perfect Decomposition in Statistical Linkage Learning for Unitation-Based Function Concatenations. Michal Prusik, Bartosz Frej, Michal Witold Przewozniczek |
| 2025 | Clearing the Combinatorial Fog: Tracing the Hidden Paths of TSP Heuristics. Jonathan Heins, Sebastian Dengel, Darrell Whitley, Pascal Kerschke |
| 2025 | Conditional Direct Empirical Linkage Discovery for Solving Multi-Structured Problems. Michal Witold Przewozniczek, Peter A. N. Bosman, Anton Bouter, Arthur Guijt, Marcin M. Komarnicki, Dirk Thierens |
| 2025 | Distributed Evolutionary Algorithms with Adversarial Corruption. Brahim Aboutaib, Andrew M. Sutton |
| 2025 | Diversity-Preserving Exploitation of Crossover. Johannes Lengler, Tom Offermann |
| 2025 | Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances. Jeroen Rook, Quentin Renau, Heike Trautmann, Emma Hart |
| 2025 | Empirical Linkage Discovery in Bi-Objective Optimization. Michal Witold Przewozniczek, Marcin M. Komarnicki, Renato Tinós |
| 2025 | Enhancing Parameter Control Policies with State Information. Gianluca Covini, Denis Antipov, Carola Doerr |
| 2025 | Foundations of Correlated Mutations for Integer Programming. Ofer M. Shir, Michael Emmerich |
| 2025 | Generating Realistic Benchmarks for Dynamic Truck and Trailer Scheduling using Gaussian Copulas. Joan Alza, Josu Ceberio, Mark Bartlett, John McCall |
| 2025 | Hyper-GRASP: A Hypervolume-Based Constructive Heuristic. Gonçalo Lopes, Luís Paquete, Carlos M. Fonseca |
| 2025 | Multi-parameter Control for the (1+(λ, λ))-GA on OneMax via Deep Reinforcement Learning. Tai Nguyen, Phong Le, Carola Doerr, Nguyen Dang |
| 2025 | On the Problem Characteristics of Multi-objective Pseudo-Boolean Functions in Runtime Analysis. Zimin Liang, Miqing Li |
| 2025 | Optimal Distributions of Solutions for Maximizing the Minimum Crowding Distance for Two-Objective and Three-Objective Linear Pareto Fronts: Search Behavior Analysis of NSGA-II. Hisao Ishibuchi, Yang Nan, Lie Meng Pang |
| 2025 | Optimal Restart Strategies for Parameter-dependent Optimization Algorithms. Lisa Schönenberger, Hans-Georg Beyer |
| 2025 | Population Dynamics and Improved Runtime Guarantees for the (μ+1) EA on BinVal. Martin S. Krejca, Frank Neumann, Carsten Witt |
| 2025 | Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2025, Leiden, The Netherlands, August 27-29, 2025 |
| 2025 | Runtime Analysis of a Compact Genetic Algorithm with High Selection Pressure. Sumit Adak, Carsten Witt |
| 2025 | Runtime Bounds for a Coevolutionary Algorithm on Classes of Potential Games. Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly, Per Kristian Lehre |
| 2025 | Scalable Multi-Modal Multi-Objective Test Problems with Respect to Decision Space Dimensionality and Pareto Set Dimensionality: High-Dimensional Manhattan Distance Minimization Problems. Hisao Ishibuchi, Tianye Shu, Lie Meng Pang |
| 2025 | Surrogate Model Assisted Evolutionary Algorithms: Performance Bound and Incremental Gaussian Process Model Updates. Hong Huang, Dirk V. Arnold |
| 2025 | Trust Region-Based Bayesian Optimisation to Discover Diverse Solutions. Kokila Kasuni Perera, Frank Neumann, Aneta Neumann |