- Nilotpal Sinha, Kuan-Wen Chen. Neural Architecture Search Using Covariance Matrix Adaptation Evolution Strategy. Evolutionary Computation, 32(2):177-204, Summer 2024.
- Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang 0025, Carola Doerr, Thomas Bäck. IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. Evolutionary Computation, 32(3):205-210, Fall 2024.
- Raphael Patrick Prager, Heike Trautmann. Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evolutionary Computation, 32(3):211-216, Fall 2024.
- Manuel López-Ibáñez 0001, Luís Paquete, Mike Preuss. Editorial for the Special Issue on Reproducibility. Evolutionary Computation, 32(1):1-2, 2024.
- Jônata Tyska Carvalho, Stefano Nolfi. The Role of Morphological Variation in Evolutionary Robotics: Maximizing Performance and Robustness. Evolutionary Computation, 32(2):125-142, Summer 2024.
- Raúl Martín-Santamaría, Sergio Cavero, Alberto Herrán, Abraham Duarte, J. Manuel Colmenar. A Practical Methodology for Reproducible Experimentation: An Application to the Double-Row Facility Layout Problem. Evolutionary Computation, 32(1):69-104, 2024.
- Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben. Comparing Robot Controller Optimization Methods on Evolvable Morphologies. Evolutionary Computation, 32(2):105-124, Summer 2024.
- Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-Andreea Mitran, Daniela Zaharie. The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond. Evolutionary Computation, 32(1):3-48, 2024.
- Giuseppe Paolo, Miranda Coninx, Alban Laflaquière, Stéphane Doncieux. Discovering and Exploiting Sparse Rewards in a Learned Behavior Space. Evolutionary Computation, 32(3):275-305, Fall 2024.
- R. Paul Wiegand. Preliminary Analysis of Simple Novelty Search. Evolutionary Computation, 32(3):249-273, Fall 2024.