| 2025 | In the Search of Optimal Tree Networks: Hardness and Heuristics. | Pavel Martynov, Maxim Buzdalov, Sergey Pankratov, Vitaly Aksenov, Stefan Schmid |
| 2025 | Empirical Complexity Analysis of Optimization Algorithms. | Ral Martn-Santamara, Manuel Lpez-Ibez, J. Manuel Colmenar |
| 2025 | Feature Selection Using Genetic Algorithm for Intrusion Detection on Resource-Constrained Edge Devices. | Tijana Markovic, Pontus Lidholm, Per Erik Strandberg, Miguel Leon |
| 2025 | SynthACticBench: A Capability-Based Synthetic Benchmark for Algorithm Configuration. | Valentin Margraf, Anna Lappe, Marcel Wever, Carolin Benjamins, Eyke Hllermeier, Marius Lindauer |
| 2025 | Random Gradient Hyper-heuristics Can Learn to Escape Local Optima in Multimodal Optimisation. | Yuxuan Ma, Pietro S. Oliveto, John Alasdair Warwicker |
| 2025 | Multi-objective Optimisation of Floating Offshore Wind Farms based on a Real-World Case Study. | Pawel L. Manikowski, David J. Walker, Matthew J. Craven |
| 2025 | GSGP-Hardware: FPGA implementation of GSGP. | Yazmn Maldonado, Ruben Salas, Joel A. Quevedo, Rogelio Valdez, Leonardo Trujillo |
| 2025 | Why We Should be Benchmarking Evolutionary Algorithms on Neural Network Training Tasks. | Katherine Mary Malan, Mario Andrs Muoz |
| 2025 | A Step towards Interpretable Multimodal AI Models with MultiFIX. | Mafalda Malafaia, Thalea Schlender, Tanja Alderliesten, Peter A. N. Bosman |
| 2025 | Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning. | Zeyuan Ma, Hongqiao Lian, Wenjie Qiu, Yue-Jiao Gong |
| 2025 | On the Investigation of Evolutionary Multi-Objective Optimization for Discrete Prompt Search. | Hieu-Hien Mai, Ngoc Hoang Luong |
| 2025 | Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study. | Zeyuan Ma, Zhiyang Huang, Jiacheng Chen, Zhiguang Cao, Yue-Jiao Gong |
| 2025 | Seeking and leveraging alternative variable dependency concepts in gray-box-elusive bimodal land-use allocation problems. | Jakub Maciazek, Michal Przewozniczek, Jonas Schwaab |
| 2025 | Evolutionary Art and Design in the Machine Learning Era. | Penousal Machado, Joo Correia |
| 2025 | Hybrid Deterministic and Metaheuristic Optimization for Physical Adversarial Attack on End-to-End Autoencoder Wireless Communication Systems. | Ho Viet Duc Luong, Trinh Van Chien, Lang Hong Nguyet Anh, Huynh Thi Thanh Binh |
| 2025 | Symbolic Pricing Policies for Attended Home Delivery - the Case of an Online Retailer. | Miguel Lunet, Daniela Fernandes, Fbio Neves-Moreira, Pedro Amorim |
| 2025 | Statistical Forward Planning Algorithms. | Simon Mark Lucas, James Goodman, Marko Tot |
| 2025 | Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms. | Tianhao Lu, Chao Bian, Chao Qian |
| 2025 | An LLM-Based Genetic Algorithm for Prompt Engineering. | Leandro Augusto Loss, Pratikkumar Dhuvad |
| 2025 | A Hybrid Constrained Programming with Genetic Algorithm for the Job Shop Scheduling Problem. | Alessandro Lorenzi, Stefano Genetti, Chiara Camilla Rambaldi Migliore, Marco Roveri, Giovanni Iacca |
| 2025 | Unveiling the dynamics of NOx pollution in internal combustion engines by Structured Grammatical Evolution. | Marcos Llamazares Lpez, Daniel Parra, Jos Manuel Velasco Cabo, Oscar Garnica, Rafael Jacinto Villanueva Mic, J. Ignacio Hidalgo |
| 2025 | Energy Efficiency of C++ Standard Random Number Generators. | Gustavo Romero Lpez, Juan Julin Merelo Guervs |
| 2025 | Evaluating Encoding of Neuron Configuration and Position in Neuroevolution of Liquid State Machines. | Carlos-Alberto Lpez-Herrera, Hctor-Gabriel Acosta-Mesa, Efrn Mezura-Montes |
| 2025 | A Multi-Objective Approach to Optimizing Kolmogorov-Arnold Networks for Classification Tasks to Balance Accuracy and Interpretability. | Quan Long, Bin Wang, Bing Xue, Mengjie Zhang |
| 2025 | POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator. | Eugenio Lomurno, Samuele Mariani, Matteo Monti, Matteo Matteucci |