| 2021 | Automated parameter choice with exploratory landscape analysis and machine learning. | Maxim Pikalov, Vladimir Mironovich |
| 2021 | Evolutionary computation and machine learning in cryptology. | Stjepan Picek, Domagoj Jakobovic |
| 2021 | Learning multiple defaults for machine learning algorithms. | Florian Pfisterer, Jan N. van Rijn, Philipp Probst, Andreas C. Mller, Bernd Bischl |
| 2021 | Island model in ActoDatA: an actor-based implementation of a classical distributed evolutionary computation paradigm. | Giuseppe Petrosino, Federico Bergenti, Gianfranco Lombardo, Monica Mordonini, Agostino Poggi, Michele Tomaiuolo, Stefano Cagnoni |
| 2021 | An evolutionary and neighborhood-based algorithm for optimization under low budget requirements. | Jordi Pereira |
| 2021 | Genetic programming for borderline instance detection in high-dimensional unbalanced classification. | Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |
| 2021 | Evolving and merging hebbian learning rules: increasing generalization by decreasing the number of rules. | Joachim Winther Pedersen, Sebastian Risi |
| 2021 | An overview of LCS research from 2020 to 2021. | David Ptzel, Michael Heider, Alexander R. M. Wagner |
| 2021 | A differential particle scheme and its application to PID parameter tuning of an inverted pendulum. | Victor Parque |
| 2021 | Generating combinations on the GPU and its application to the k-subset sum. | Victor Parque |
| 2021 | Towards higher order fairness functionals for smooth path planning. | Victor Parque |
| 2021 | Multi-objective optimization across multiple concepts: a case study on lattice structure design. | Brandon Parker, Hemant Kumar Singh, Tapabrata Ray |
| 2021 | Replicability and reproducibility in evolutionary optimization. | Lus Paquete, Manuel Lpez-Ibez |
| 2021 | Applications of dynamic parameter control in evolutionary computation. | Gregor Papa |
| 2021 | Sparse reward exploration via novelty search and emitters. | Giuseppe Paolo, Alexandre Coninx, Stphane Doncieux, Alban Laflaquire |
| 2021 | Focusing on the hybrid quantum computing - Tabu search algorithm: new results on the Asymmetric Salesman Problem. | Eneko Osaba, Esther Villar-Rodriguez, Izaskun Oregi, Aitor Moreno-Fernandez-de-Leceta |
| 2021 | Genetic crossover in the evolution of time-dependent neural networks. | Jason Orlosky, Tim Grabowski |
| 2021 | Explainability and performance of anticipatory learning classifier systems in non-deterministic environments. | Romain Orhand, Anne Jeannin-Girardon, Pierre Parrend, Pierre Collet |
| 2021 | Genetic programming: a tutorial introduction. | Una-May O'Reilly, Erik Hemberg |
| 2021 | Improving estimation of distribution genetic programming with novelty initialization. | Christian Olmscheid, David Wittenberg, Dominik Sobania, Franz Rothlauf |
| 2021 | Benchmarking SHADE algorithm enhanced with model based optimization on the BBOB noiseless testbed. | Michal Okulewicz, Mateusz Zaborski |
| 2021 | Fitness landscape analysis of graph neural network architecture search spaces. | Matheus Nunes, Paulo M. Fraga, Gisele L. Pappa |
| 2021 | A niching framework based on fitness proportionate sharing for multi-objective genetic algorithm (MOGA-FPS). | Abdul-Rauf Nuhu, Xuyang Yan, Daniel Opoku, Abdollah Homaifar |
| 2021 | Parallel differential evolution applied to interleaving generation with precedence evaluation of tentative solutions. | Hayato Noguchi, Tomohiro Harada, Ruck Thawonmas |
| 2021 | Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules. | Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bck |