| 2024 | A Comparison of Advanced Machine Learning Models for Food Import Forecasting. Corrado Mio, Siddhartha Shakya |
| 2024 | A Federated K-Means-Based Approach in eHealth Domains with Heterogeneous Data Distributions. Giovanni Paragliola, Patrizia Ribino, Maria Mannone |
| 2024 | A Graph-Based Deep Learning Model for the Anti-Money Laundering Task of Transaction Monitoring. Nazanin Bakhshinejad, Uyen Trang Nguyen, Shahram Ghahremani, Reza Soltani |
| 2024 | A Modified Preference-Based Hypervolume Indicator for Interactive Evolutionary Multiobjective Optimization Methods. Maomao Liang, Babooshka Shavazipour, Bhupinder Singh Saini, Michael Emmerich, Kaisa Miettinen |
| 2024 | A Simple yet Effective Algorithm for the Asteroid Routing Problem. Valentino Santucci |
| 2024 | A Vector Autoregression-Based Algorithm for Dynamic Many-Objective Optimization Problems. Kalthoum Karkazan, Haluk Rahmi Topcuoglu, Shaaban A. Sahmoud |
| 2024 | AI-Based Preliminary Modeling for Failure Prediction of Reactor Protection System in Nuclear Power Plants. Hye Seon Jo, Ho Jun Lee, Ji Hun Park, Man Gyun Na |
| 2024 | Alternative Step-Size Adaptation Rule for the Matrix Adaptation Evolution Strategy. Eryk Warchulski, Jaroslaw Arabas |
| 2024 | Anomaly Detection in eSport Games Through Periodical In-Game Movement Analysis with Deep Recurrent Neural Network. Mhd Irvan, Franziska Zimmer, Ryosuke Kobayashi, Maharage Nisansala Sevwandi Perera, Roberta Tamponi, Rie Shigetomi Yamaguchi |
| 2024 | Approximated Fuzzy p-values by Bootstrapped Fuzzy Distributions and Fuzzy Hypotheses Testing. Julien Rosset, Laurent Donzé |
| 2024 | Assessing Forecasting Model Robustness Through Curvature-Based Noise Perturbations. Lynda Ayachi |
| 2024 | Automated Design of Routing Policies for the Dynamic Electric Vehicle Routing Problem with Genetic Programming. Marko Durasevic, Francisco Javier Gil Gala |
| 2024 | Automated Design of a Genetic Algorithm for Image Segmentation Using the Iterated Local Search. Thambo Nyathi |
| 2024 | Cartesian Genetic Programming Is Robust Against Redundant Attributes in Datasets. Henning Cui, Jörg Hähner |
| 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 | Contrastive Learning and Abstract Concepts: The Case of Natural Numbers. Daniel N. Nissani |
| 2024 | Control of Biohybrid Actuators Using Neuroevolution. Hugo Alcaraz-Herrera, Michail-Antisthenis I. Tsompanas, Igor Balaz, Andrew Adamatzky |
| 2024 | ETA-Based Secondary Conflict-Free Local Path Replanning for Air Logistics Transportation. Yuan Zheng, Jie Cheng, Chenglong Li |
| 2024 | Educational Evolutionary Neural Architecture Search for Time Series Prediction. Martha Isabel Escalona-Llaguno, Sergio M. Sarmiento-Rosales |
| 2024 | End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning. Mahmoud M. Kishky, Hesham M. Eraqi, Khaled M. F. Elsayed |
| 2024 | Enhanced Missing Data Imputation Using Intuitionistic Fuzzy Rough-Nearest Neighbor Approach. Shivani Singh |
| 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 | Finding Strong Lottery Ticket Networks with Genetic Algorithms. Philipp Altmann, Julian Schönberger, Maximilian Zorn, Thomas Gabor |
| 2024 | Fitness Histograms of Expert-Defined Problem Classes in Fitness Landscape Classification. Vojtech Uher, Pavel Krömer |
| 2024 | Fractal Analysis of the Subset-Sum Problem. Ruben Horn, Daan van den Berg, Pieter Adriaans |
| 2024 | Frequency Fitness Assignment: Optimization Without Bias for Good Solution Outperforms Randomized Local Search on the Quadratic Assignment Problem. Jiayang Chen, Zhize Wu, Sarah L. Thomson, Thomas Weise |
| 2024 | Generating Small Instances with Interesting Features for the Traveling Salesperson Problem. Tianyu Liang, Zhize Wu, Matthias Thürer, Markus Wagner, Thomas Weise |
| 2024 | Genetic Programming for 5×5 Matrix Multiplication. Rik Timmer, Jesse Kommandeur, Jonathan Koutstaal, Eric S. Fraga, Daan van den Berg |
| 2024 | Grammatical Evolution of Synthesizable Finite State Machine-Based Behavioural Level Hardware Description Language Codes. Bilal Majeed, Jack McEllin, Rajkumar Sarma, Ayman Youssef, Douglas Mota Dias, Conor Ryan |
| 2024 | Hybrid Genetic Programming and Deep Reinforcement Learning for Low-Complexity Robot Arm Trajectory Planning. Quentin Vacher, Nicolas Beuve, Paul Allaire, Thibaut Marty, Mickaël Dardaillon, Karol Desnos |
| 2024 | Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite. Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bäck, Anna V. Kononova |
| 2024 | Improving the Performance of Genetic Algorithms for Combinatorial Optimization Using Machine Learning for Knowledge Transfer. George Mweshi, Nelishia Pillay |
| 2024 | Invertibility of ReLU-Layers: A Practical Approach. Hannah Eckert, Daniel Haider, Martin Ehler, Peter Balazs |
| 2024 | L-SAGA: A Learning Hyper-Heuristic Architecture for the Permutation Flow-Shop Problem. Younes Boukacem, Hatem M. Abdelmoumen, Hodhaifa Benouaklil, Samy Ghebache, Boualem Hamroune, Mohammed Tirichine, Nassim Ameur, Malika Bessedik |
| 2024 | LSTM versus Transformers: A Practical Comparison of Deep Learning Models for Trading Financial Instruments. Daniel Ruiru, Nicolas Jouandeau, Dickson Odhiambo Owuor |
| 2024 | Leveraging Deep Learning for Approaching Automated Pre-Clinical Rodent Models. Carl Sandelius, Athanasios Pappas, Arezoo Sarkheyli-Hägele, Andreas Heuer, Magnus Johnsson |
| 2024 | META: Deep Learning Pipeline for Detecting Anomalies on Multimodal Vibration Sewage Treatment Plant Data. Simeon Krastev, Aukkawut Ammartayakun, Kewal Jayshankar Mishra, Harika Koduri, Eric Schuman, Drew Morris, Yuan Feng, Sai Supreeth Reddy Bandi, Chun-Kit Ngan, Andrew Yeung, Jason Li, Nigel Ko, Fatemeh Emdad, Elke A. Rundensteiner, Heiton M. H. Ho, T. K. Wong, Jolly P. C. Chan |
| 2024 | Modelling and Simulation of Adaptive Multi-Agent Systems with Stochastic Nets-within-Nets. Michael Köhler-Bußmeier, Lorenzo Capra |
| 2024 | Neuron Labeling for Self-Organizing Maps Using a Novel Example-Centric Algorithm with Weight-Centric Finalization. Willem S. van Heerden |
| 2024 | Online Match Prediction in Shogi Using Deep Convolutional Neural Networks. Jim O'Connor, Melanie Fernández |
| 2024 | Open Source Evolutionary Computation with Chips-n-Salsa. Vincent A. Cicirello |
| 2024 | Optimizing Genetic Algorithms Using the Binomial Distribution. Vincent A. Cicirello |
| 2024 | Predictive Maintenance for Industry 4.0 & 5.0. Rita P. Ribeiro |
| 2024 | Proceedings of the 16th International Joint Conference on Computational Intelligence, IJCCI 2024, Porto, Portugal, November 20-22, 2024. Francesco Marcelloni, Kurosh Madani, Niki van Stein, Joaquim Filipe |
| 2024 | Quantum Neural Network Design via Quantum Deep Reinforcement Learning. Anca Ioana Muscalagiu |
| 2024 | REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning. Philipp Altmann, Céline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, Thomas Gabor |
| 2024 | Randomized Local Search for Two-Dimensional Bin Packing and a Negative Result for Frequency Fitness Assignment. Rui Zhao, Zhize Wu, Daan van den Berg, Matthias Thürer, Tianyu Liang, Ming Tan, Thomas Weise |
| 2024 | Randomized Local Search vs. NSGA-II vs. Frequency Fitness Assignment on The Traveling Tournament Problem. Cao Xiang, Zhize Wu, Daan van den Berg, Thomas Weise |
| 2024 | Real-Time IoMT-driven Optimisation for Large-Scale Home Health Care Planning. Seyedamirhossein Salehiamiri, Richard Allmendinger, Arijit De |
| 2024 | Sampling in CMA-ES: Low Numbers of Low Discrepancy Points. Jacob de Nobel, Diederick Vermetten, Thomas H. W. Bäck, Anna V. Kononova |
| 2024 | Search Trajectories Illuminated. Gabriela Ochoa |
| 2024 | Searching for Idealized Prototype Learning for Interpreting Multi-Layered Neural Networks. Ryotaro Kamimura |
| 2024 | Separating the Yes- from the No-Instances in the Number Partitioning Problem. Ruben Horn, Reitze Jansen, Okke van Eck, Daan van den Berg |
| 2024 | Spatial Learning and Overfitting in Visual Recognition and Route Planning Tasks. Margarita Zaleshina, Alexander Zaleshin |
| 2024 | Stealing Brains: From English to Czech Language Model. Petr Hyner, Petr Marek, David Adamczyk, Jan Hula, Jan Sedivý |
| 2024 | Step Size Control in Evolutionary Algorithms for Neural Architecture Search. Christian Nieber, Douglas Mota Dias, Enrique Naredo, Conor Ryan |
| 2024 | Studying the Relationship Between Crossover Features and Performance on MNK-Landscapes Using Regression Models. Teruhisa Nakashima, Hernán E. Aguirre, Kiyoshi Tanaka |
| 2024 | Surrogate Modeling for Efficient Evolutionary Multi-Objective Neural Architecture Search in Super Resolution Image Restoration. Sergio M. Sarmiento-Rosales, Jesús Leopoldo Llano García, Jesús Guillermo Falcón-Cardona, Raúl Monroy, Manuel Iván Casillas del Llano, Víctor Adrián Sosa-Hernández |
| 2024 | Tangled Program Graphs with Indexed Memory in Control Tasks with Short Time Dependencies. Tanya Djavaherpour, Ali Naqvi, Stephen Kelly |
| 2024 | Temporal Complexity of a Hopfield-Type Neural Model in Random and Scale-Free Graphs. Marco Cafiso, Paolo Paradisi |
| 2024 | Testing Emergent Bilateral Symmetry in Evolvable Robots with Vision. Michele Vanucci, Satchit Chatterji, Babak Hosseinkhani Kargar |
| 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 | Towards Fairness in Machine Learning: Balancing Racially Imbalanced Datasets Through Data Augmentation and Generative AI. Anthonie Schaap, Sofoklis Kitharidis, Niki van Stein |
| 2024 | Trade Data Harmonization: A Multi-Objective Optimization Approach for Subcategory Alignment and Volume Optimization. Himadri Sikhar Khargharia, Sid Shakya, Dymitr Ruta |
| 2024 | Trustworthy Benchmarking for Black-Box Single-Objective Optimization. Tome Eftimov |
| 2024 | Unsupervised Feature Selection Using Extreme Learning Machine. Mamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy |
| 2024 | Using Secondary Inherited Characteristics During Reproductive Choice to Replicate Allopatric Speciation. Gary B. Parker, Jay B. Nash |
| 2024 | Working on the Structural Components of Evolutionary Approaches. Alexandros Tzanetos, Jakub Kudela |