| 2025 | Optimizing Wind Farm Project Assessments Using Genetic Algorithms. | talo Firmino da Silva, Telles B. Lazzarin, Lenon Schmitz, Alison R. Panisson |
| 2025 | Multi-objective Traveling Salesman Problem with Profits and Passengers: Exact, Heuristic and Evolutionary Approaches. | Juvenal B. A. Silva, Tarcisio A. P. Brito, Ricardo Arajo Rios, Tatiane Nogueira Rios, Islame F. C. Fernandes |
| 2025 | A Perturbation and Speciation-Based Algorithm for Dynamic Optimization Uninformed of Change. | Federico Signorelli, Anil Yaman |
| 2025 | Evolving Modular Abstractions through Lateralized Learning in Classifier Systems. | Abubakar Siddique, Muhammad Iqbal, Will N. Browne, Gina M. Grimshaw |
| 2025 | Evidential Fuzzy Rule-Based Machine Learning to Quantify Classification Uncertainty. | Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata |
| 2025 | Evolutionary Co-Optimization of Rule Shape and Fuzziness in Rule-Based Machine Learning. | Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata |
| 2025 | Introductory Mathematical Programming for EC. | Ofer M. Shir |
| 2025 | Correlated Geometric Mutations for Integer Evolution Strategies. | Ofer M. Shir, Michael Emmerich |
| 2025 | Analysis of Memory-Runtime Trade-offs in Caching Strategies for Genetic Programming Symbolic Regression. | Jiaming Shi, Kei Sen Fong, Mehul Motani |
| 2025 | Self-organized Swarm Reinforcement Learning under Spontaneous Communications. | Qihao Shan, Sanaz Mostaghim |
| 2025 | GPU-Accelerated Rule Evaluation and Evolution. | Hormoz Shahrzad, Risto Miikkulainen |
| 2025 | EVOTER: Evolution of Transparent Explainable Rule sets. | Hormoz Shahrzad, Babak Hodjat, Risto Miikkulainen |
| 2025 | Evolutionary Computation as a Path to Safe, Trustworthy, and Responsible General-Purpose Artificial Intelligence. | Javier Del Ser |
| 2025 | Model Recovery in Symbolic Regression: Theory, Conjectures, and Open Questions. | Erik-Jan Senn |
| 2025 | Surrogate-Assisted CMA-ES for Problems with Low Effective Dimensionality. | Yuta Sekino, Yohei Watanabe, Kento Uchida, Shinichi Shirakawa |
| 2025 | RandOptGen: A Unified Random Problem Generator for Single- and Multi-Objective Optimization Problems with Mixed-Variable Input Spaces. | Moritz Vinzent Seiler, Oliver Ludger Preu, Heike Trautmann |
| 2025 | Optimization of Unequal-Area Facility Layouts for Mass-Customization Assembly Systems with AGV Material Handling. | Thomas Seidelmann, Sanaz Mostaghim |
| 2025 | Efficient Scheduling of Transformer Neural Network Computation for Edge-AI Deployment. | David Sedlak, Jan Klhufek, Vojtech Mrazek, Zdenek Vascek |
| 2025 | Automated Prediction of Compressor Performance Maps: Surrogate-Based Optimization with RNNs for Enhanced Extrapolation and Interpolation. | Richard Schulz, Alexander Hinterleitner, Noah Christoph Ptz, Jens Uwe Brandt, Matthias Mller, Thomas Bartz-Beielstein |
| 2025 | A Quality Diversity Approach to Evolving Model Rockets. | Jacob Schrum, Cody Crosby |
| 2025 | Classifier Systems as Linear Probability Models. | Gijs Schrder, Johannes Textor |
| 2025 | Towards Swarms of Long Heavy Articulated Vehicles. | Adrian Schnnagel, Michael Dub, Sanaz Mostaghim |
| 2025 | Dimensionality Reduction for Enabling Visual Reinforcement Learning with a Classifier System. | Connor Schnberner, Armin Mackensen, Sven Tomforde |
| 2025 | More Efficient Real-Valued Gray-Box Optimization through Incremental Distribution Estimation in RV-GOMEA. | Renzo J. Scholman, Tanja Alderliesten, Peter A. N. Bosman |
| 2025 | Evolutionary Computation: Back to the Future. | Marc Schoenauer |