| 2024 | A novel unsupervised segmentation approach for brain computed tomography employing hyperparameter optimization. | Paulo Dos Santos, Marcella Scoczynski, Solange Amorim Nogueira, Rafael Maffei Loureiro, Cristhiane Gonalves, Wesley Pacheco Calixto |
| 2024 | Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of Triangles. | Xavier F. C. Snchez-Daz, Ole Jakob Mengshoel |
| 2024 | A Secure Simulation-optimisation Framework for Fleet Mix Problem: A Defence-based Real-world Application. | Sara Salim, Ismail M. Ali, Sondoss Elsawah |
| 2024 | Eventually, all you need is a simple evolutionary algorithm (for neuroevolution of continuous control policies). | Michel El Saliby, Giorgia Nadizar, Erica Salvato, Eric Medvet |
| 2024 | Exploring the Prompt Space of Large Language Models through Evolutionary Sampling. | Martina Saletta, Claudio Ferretti |
| 2024 | Improved Brain Tumor Segmentation Using Modified U-Net based on Particle Swarm Optimization Image Enhancement. | Shoffan Saifullah, Rafal Drezewski |
| 2024 | Large Language Models as All-in-one Operators for Genetic Improvement. | Gudny Birna Saemundsdottir, Smundur skar Haraldsson |
| 2024 | Composite Quality Indicators to Evaluate the Performance of Population-based Multiobjective Optimization Algorithms. | Rubn Saborido, Ana Belen Ruiz, Sandra Gonzlez-Gallardo, Mariano Luque, Antonio Borrego |
| 2024 | Towards Evolutionary-based Automated Machine Learning for Small Molecule Pharmacokinetic Prediction. | Alex G. C. de S, David B. Ascher |
| 2024 | Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images. | Bogdan Ruszczak, Michal Myller, Lukasz Tulczyjew, Agata Wijata, Jakub Nalepa |
| 2024 | Coupling Temporal Convolutional Networks with Anomaly Detection and CMA-ES for the Electricity Price Forecasting. | Bogdan Ruszczak |
| 2024 | Multiview Symbolic Regression. | Etienne Russeil, Fabrcio Olivetti de Frana, Konstantin L. Malanchev, Bogdan Burlacu, Emille E. O. Ishida, Marion Leroux, Clment Michelin, Guillaume Moinard, Emmanuel Gangler |
| 2024 | Representations for Evolutionary Algorithms. | Franz Rothlauf |
| 2024 | Local Search Algorithms for the Oven Scheduling Problem. | Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu, Felix Winter |
| 2024 | Reducing Energy Consumption in Electronic Component Manufacturing through Large Neighborhood Search. | Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu |
| 2024 | Multi-objective Ranking using Bootstrap Resampling. | Jeroen Rook, Holger H. Hoos, Heike Trautmann |
| 2024 | Analysis of Pruned Deep Models Trained with Neuroevolution. | Federico Da Rold, Leo Cazenille, Nathanal Aubert-Kato |
| 2024 | Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation. | Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, Peter A. N. Bosman |
| 2024 | Implicit Symbolic Regression via Probabilistic Fitness. | Graham Roberts, Everett Grethel, Qian Yang |
| 2024 | Understanding Search Trajectories in Parameter Tuning. | Mara Riveros, Nicols Rojas-Morales, Elizabeth Montero, Gabriela Ochoa |
| 2024 | Is greed still good in multi-objective Bayesian optimisation? | Frederico Leite Richardson, George De Ath, Tinkle Chugh |
| 2024 | Combining Online Learning with Mutation-Based Stochastic Search to Repair Buggy Programs. | Joseph Renzullo, Westley Weimer, Stephanie Forrest |
| 2024 | Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples. | Quentin Renau, Emma Hart |
| 2024 | Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. | Quentin Renau, Johann Dro, Emma Hart |
| 2024 | Extending Instance Space Analysis to Algorithm Configuration Spaces. | Anthony Rasulo, Kate Smith-Miles, Mario A. Muoz, Julia Handl, Manuel Lpez-Ibez |