- Yuan Hong 0002, Dirk V. Arnold. An Evolutionary Algorithm for Expensive Mixed-Integer Black-Box Optimization with Explicit Constraints. ACM Trans. Evol. Learn. Optim., 5(1):1-16, 2025.
- Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr. MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts. ACM Trans. Evol. Learn. Optim., 5(1):1-19, 2025.
- Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck. Explainable Benchmarking for Iterative Optimization Heuristics. ACM Trans. Evol. Learn. Optim., 5(2), June 2025.
- Diksha Goel, Max Ward 0001, Aneta Neumann, Frank Neumann 0001, Hung X. Nguyen, Mingyu Guo. Hardening Active Directory Graphs via Evolutionary Diversity Optimization-based Policies. ACM Trans. Evol. Learn. Optim., 5(3), September 2025.
- Sindiso Mkhatshwa, Geoff Nitschke. Body and Brain Quality-Diversity in Robot Swarms. ACM Trans. Evol. Learn. Optim., 5(1):1-27, 2025.
- Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully. Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning. ACM Trans. Evol. Learn. Optim., 5(1):1-35, 2025.
- Nazanin Nezami, Hadis Anahideh. Enhancing Batch Diversity in Surrogate Optimization: A Determinantal Point Processes Approach. ACM Trans. Evol. Learn. Optim., 5(3), September 2025.
- Valentin Margraf, Tom Koerner, Alexander Tornede, Marcel Wever. RunAndSchedule2Survive: Algorithm Scheduling Based on Run2Survive. ACM Trans. Evol. Learn. Optim., 5(3), September 2025.
- Luís Paquete, Sara Silva. Introduction to the "Best of GECCO 2023" Special Issue. ACM Trans. Evol. Learn. Optim., 5(1):1-2, 2025.
- Anastasiia Grishina, Vadim Liventsev, Aki Härmä, Leon Moonen. Fully Autonomous Programming Using Iterative Multi-Agent Debugging with Large Language Models. ACM Trans. Evol. Learn. Optim., 5(1):1-37, 2025.