- Nilotpal Sinha, Kuan-Wen Chen. Neural Architecture Search Using Covariance Matrix Adaptation Evolution Strategy. Evolutionary Computation, 32(2):177-204, Summer 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.
- Caitlin A. Owen, Grant Dick, Peter A. Whigham. Using Decomposed Error for Reproducing Implicit Understanding of Algorithms. Evolutionary Computation, 32(1):49-68, 2024.
- Jakob Bossek, Christian Grimme. On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem. Evolutionary Computation, 32(2):143-175, Summer 2024.
- Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai. A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization. Evolutionary Computation, 31(4):433-458, Winter 2023.
- Andrea Murari, Emmanuele Peluso, Luca Spolladore, Riccardo Rossi, Michela Gelfusa. Upgrades of Genetic Programming for Data-Driven Modeling of Time Series. Evolutionary Computation, 31(4):401-432, Winter 2023.