| 2024 | Testing Emergent Bilateral Symmetry in Evolvable Robots with Vision. | Michele Vanucci, Satchit Chatterji, Babak Hosseinkhani Kargar |
| 2024 | Hybrid Genetic Programming and Deep Reinforcement Learning for Low-Complexity Robot Arm Trajectory Planning. | Quentin Vacher, Nicolas Beuve, Paul Allaire, Thibaut Marty, Mickal Dardaillon, Karol Desnos |
| 2024 | Fitness Histograms of Expert-Defined Problem Classes in Fitness Landscape Classification. | Vojtech Uher, Pavel Krmer |
| 2024 | Working on the Structural Components of Evolutionary Approaches. | Alexandros Tzanetos, Jakub Kudela |
| 2024 | Genetic Programming for 55 Matrix Multiplication. | Rik Timmer, Jesse Kommandeur, Jonathan Koutstaal, Eric S. Fraga, Daan van den Berg |
| 2024 | Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture. | Kevin Swingler, Teri Rumble, Ross Goutcher, Paul Hibbard, Mark Donoghue, Dan Harvey |
| 2024 | Enhanced Missing Data Imputation Using Intuitionistic Fuzzy Rough-Nearest Neighbor Approach. | Shivani Singh |
| 2024 | Towards Fairness in Machine Learning: Balancing Racially Imbalanced Datasets Through Data Augmentation and Generative AI. | Anthonie Schaap, Sofoklis Kitharidis, Niki van Stein |
| 2024 | Surrogate Modeling for Efficient Evolutionary Multi-Objective Neural Architecture Search in Super Resolution Image Restoration. | Sergio M. Sarmiento-Rosales, Jess Leopoldo Llano Garca, Jess Guillermo Falcn-Cardona, Ral Monroy, Manuel Ivn Casillas del Llano, Vctor Adrin Sosa-Hernndez |
| 2024 | A Simple yet Effective Algorithm for the Asteroid Routing Problem. | Valentino Santucci |
| 2024 | Leveraging Deep Learning for Approaching Automated Pre-Clinical Rodent Models. | Carl Sandelius, Athanasios Pappas, Arezoo Sarkheyli-Hgele, Andreas Heuer, Magnus Johnsson |
| 2024 | Real-Time IoMT-driven Optimisation for Large-Scale Home Health Care Planning. | Seyedamirhossein Salehiamiri, Richard Allmendinger, Arijit De |
| 2024 | LSTM versus Transformers: A Practical Comparison of Deep Learning Models for Trading Financial Instruments. | Daniel Ruiru, Nicolas Jouandeau, Dickson Odhiambo Owuor |
| 2024 | Approximated Fuzzy p-values by Bootstrapped Fuzzy Distributions and Fuzzy Hypotheses Testing. | Julien Rosset, Laurent Donz |
| 2024 | Predictive Maintenance for Industry 4.0 & 5.0. | Rita P. Ribeiro |
| 2024 | The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes. | Iris Pijning, Levi Koppenhol, Danny Dijkzeul, Nielis Brouwer, Sarah L. Thomson, Daan van den Berg |
| 2024 | Using Secondary Inherited Characteristics During Reproductive Choice to Replicate Allopatric Speciation. | Gary B. Parker, Jay B. Nash |
| 2024 | A Federated K-Means-Based Approach in eHealth Domains with Heterogeneous Data Distributions. | Giovanni Paragliola, Patrizia Ribino, Maria Mannone |
| 2024 | Online Match Prediction in Shogi Using Deep Convolutional Neural Networks. | Jim O'Connor, Melanie Fernndez |
| 2024 | Search Trajectories Illuminated. | Gabriela Ochoa |
| 2024 | Automated Design of a Genetic Algorithm for Image Segmentation Using the Iterated Local Search. | Thambo Nyathi |
| 2024 | FSL-LFMG: Few-Shot Learning with Augmented Latent Features and Multitasking Generation for Enhancing Multiclass Classification on Tabular Data. | Aviv A. Nur, Chun-Kit Ngan, Rolf Bardeli |
| 2024 | Sampling in CMA-ES: Low Numbers of Low Discrepancy Points. | Jacob de Nobel, Diederick Vermetten, Thomas H. W. Bck, Anna V. Kononova |
| 2024 | Contrastive Learning and Abstract Concepts: The Case of Natural Numbers. | Daniel N. Nissani |
| 2024 | Step Size Control in Evolutionary Algorithms for Neural Architecture Search. | Christian Nieber, Douglas Mota Dias, Enrique Naredo, Conor Ryan |