| 2022 | Theory and practice of population diversity in evolutionary computation. | Dirk Sudholt, Giovanni Squillero |
| 2022 | Automated algorithm configuration and design. | Thomas Sttzle, Manuel Lpez-Ibez, Leslie Prez Cceres |
| 2022 | Optimising autonomous robot swarm parameters for stable formation design. | Daniel H. Stolfi, Grgoire Danoy |
| 2022 | Neuroevolutionary multi-objective approaches to trajectory prediction in autonomous vehicles. | Fergal Stapleton, Edgar Galvn, Ganesh Sistu, Senthil Kumar Yogamani |
| 2022 | Improved regression models for algorithm configuration. | Marcelo de Souza, Marcus Ritt |
| 2022 | Efficient configuration of optimization algorithms. | Marcelo de Souza, Marcus Ritt, Manuel Lpez-Ibez |
| 2022 | Imbalanced classification with tpg genetic programming: impact of problem imbalance and selection mechanisms. | Nicolas Sourbier, Justine Bonnot, Frdric Majorczyk, Olivier Gesny, Thomas Guyet, Maxime Pelcat |
| 2022 | The pole balancing problem from the viewpoint of system flexibility. | Lo Franoso Dal Piccol Sotto, Sebastian Mayer, Jochen Garcke |
| 2022 | Modular grammatical evolution for the generation of artificial neural networks: (hot-off-the-press track at GECCO 2022). | Khabat Soltanian, Ali Ebnenasir, Mohsen Afsharchi |
| 2022 | Quantum parametric circuit optimization with estimation of distribution algorithms. | Vicente P. Soloviev, Pedro Larraaga, Concha Bielza |
| 2022 | Program synthesis with evolutionary algorithms: Status quo: hot off the press track (GECCO 2022). | Dominik Sobania, Dirk Schweim, Franz Rothlauf |
| 2022 | Analyzing optimized constants in genetic programming on a real-world regression problem. | Dominik Sobania, Martin Briesch, David Wittenberg, Franz Rothlauf |
| 2022 | Choose your programming copilot: a comparison of the program synthesis performance of github copilot and genetic programming. | Dominik Sobania, Martin Briesch, Franz Rothlauf |
| 2022 | Towards landscape-aware parameter tuning for the (1 + ( | Aleksandr Smirnov, Vladimir Mironovich |
| 2022 | Binary and multinomial classification through evolutionary symbolic regression. | Moshe Sipper |
| 2022 | Novelty driven evolutionary neural architecture search. | Nilotpal Sinha, Kuan-Wen Chen |
| 2022 | Neural architecture search using progressive evolution. | Nilotpal Sinha, Kuan-Wen Chen |
| 2022 | Towards explainable metaheuristic: mining surrogate fitness models for importance of variables. | Manjinder Singh, Alexander E. I. Brownlee, David E. Cairns |
| 2022 | Chaotic genetic bee colony: combining chaos theory and genetic bee algorithm for feature selection in microarray cancer classification. | Sammuel Ramos da Silva, Jadson Castro Gertrudes |
| 2022 | Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models. | E. M. C. Sijben, Tanja Alderliesten, Peter A. N. Bosman |
| 2022 | Learning classifier systems: cognitive inspired machine learning for eXplainable AI. | Abubakar Siddique, Will N. Browne |
| 2022 | DEvS: data distillation algorithm based on evolution strategy. | Nadiya Shvai, Arcadi Llanza, Abul Hasnat, Amir Nakib |
| 2022 | Algorithmically-guided postharvest protocols by experimental combinatorial optimization. | Ofer M. Shir, Boris Yazmir, Assaf Israeli, Dan Gamrasni |
| 2022 | Sequential experimentation by evolutionary algorithms. | Ofer M. Shir, Thomas Bck |
| 2022 | Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension. | Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama |