| 2022 | Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs. | Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama |
| 2022 | Introductory mathematical programming for EC. | Ofer M. Shir |
| 2022 | A surrogate model-based genetic algorithm for the optimal policy in cart-pole balancing environments. | Seung-Soo Shin, Yong-Hyuk Kim |
| 2022 | Evolving parsimonious circuits through shapley value-based genetic programming. | Xinming Shi, Jiashi Gao, Leandro L. Minku, Xin Yao |
| 2022 | External archive hybrid genetic algorithm for unequal area facility layout problem. | Ailing Shen, Juan Lin, Yiwen Zhong |
| 2022 | Evolving explainable rule sets. | Hormoz Shahrzad, Babak Hodjat, Risto Miikkulainen |
| 2022 | Untangling phylogenetic diversity's role in evolutionary computation using a suite of diagnostic fitness landscapes. | Shakiba Shahbandegan, Jose Guadalupe Hernandez, Alexander Lalejini, Emily L. Dolson |
| 2022 | Genetic heterogeneity analysis using genetic algorithm and network science. | Zhendong Sha, Yuanzhu Peter Chen, Ting Hu |
| 2022 | A biased random key genetic algorithm applied to target set selection in viral marketing. | Albert Lpez Serrano, Christian Blum |
| 2022 | Towards evolutionary self-optimization of large multi-agent systems. | Franciszek Seredynski, Tomasz Kulpa, Rolf Hoffmann |
| 2022 | A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes. | Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, Heike Trautmann |
| 2022 | A collection of quality diversity optimization problems derived from hyperparameter optimization of machine learning models. | Lennart Schneider, Florian Pfisterer, Janek Thomas, Bernd Bischl |
| 2022 | Evolving generalizable multigrid-based helmholtz preconditioners with grammar-guided genetic programming. | Jonas Schmitt, Harald Kstler |
| 2022 | MOLE: digging tunnels through multimodal multi-objective landscapes. | Lennart Schpermeier, Christian Grimme, Pascal Kerschke |
| 2022 | GA-auto-PU: a genetic algorithm-based automated machine learning system for positive-unlabeled learning. | Jack D. Saunders, Alex Alves Freitas |
| 2022 | Comparison of evolutionary multi-objective optimization algorithms using imitation game. | Yuji Sato, Yoshihisa Murakawa |
| 2022 | Exploration of unknown environments via evolution of behavioral and morphological properties of miniaturized sensory agents. | Cagatay Sariman, Ahmed Hallawa, Erdi Sayar, Arne Peine, Lukas Martin, Anke Schmeink |
| 2022 | Boomerang-shaped neural embeddings for NK landscapes. | Roberto Santana, Arnaud Liefooghe, Bilel Derbel |
| 2022 | Networks of evolution: modelling and deconstructing genetic algorithms using dynamic networks. | Clodomir J. Santana Jr., Edward C. Keedwell, Ronaldo Menezes |
| 2022 | A new Ant colony optimization metaheuristic based on pheromone guided local search instead of constructive approach. | Samia Sammoud, Ins Alaya |
| 2022 | Towards the evolutionary assessment of neural transformers trained on source code. | Martina Saletta, Claudio Ferretti |
| 2022 | Geodesics, non-linearities and the archive of novelty search. | Achkan Salehi, Alexandre Coninx, Stphane Doncieux |
| 2022 | Environments with local scopes for modules in genetic programming. | Anil Kumar Saini, Lee Spector, Thomas Helmuth |
| 2022 | Cost-sensitive classification tree induction as a bi-level optimization problem. | Rihab Said, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said |
| 2022 | Representations for evolutionary algorithms. | Franz Rothlauf |