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| 2025 | Efficient Path Planning for Maritime Search and Rescue: A Surrogate-Assisted Memetic Algorithm. | Sojung Lee, Pablo Moscato, Yong-Hyuk Kim |
| 2025 | Evolutionary Adaptive Stress Testing for Collision Avoidance in Sustainable Maritime Transportation. | Thomas Steenfeldt Laursen, Ole Jakob Mengshoel |
| 2025 | Exploring Phase-Specific Configuration of Interactive Evolutionary Multiobjective Optimization Methods. | Giomara Lrraga, Kaisa Miettinen |
| 2025 | A Proposal for a Leaner Narrative of Learning Classifier Systems. | Pier Luca Lanzi, Daniele Loiacono |
| 2025 | Why state differentiation in ACS2 is not enough in aliased environments. | Mateusz Labedzki, Olgierd Unold |
| 2025 | Quantum Annealing for Bi-objective Weighted Portfolio Optimization in Real-world Financial Markets. | Shu-Yu Kuo, Kun-Lin Lee, Yao-Hsin Chou, Jyun-Yi Shen, Sy-Yen Kuo |
| 2025 | Efficient Waste Collection Routing Using F-CVRP and Dynamic Parameter Optimization via Q-Learning. | Yogesh Kumar, Prakhar Gupta, Karuna Panwar, Kusum Deep |
| 2025 | Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression. | Jir Kubalk, Robert Babuska |
| 2025 | Unveiling the Search Space of Simple Contrastive Graph Clustering with Cartesian Genetic Programming. | Maciej Krzywda, Yue Liu, Szymon Lukasik, Amir H. Gandomi |
| 2025 | Linear Genetic Programming for Design Graph Neural Networks for Node Classification. | Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi |
| 2025 | Comparing Modern Differential Evolution Variants in Multiobjective Cloud Scheduling. | Pavel Krmer, Vojtech Uher |
| 2025 | From 'How Good?' to 'Is it Better?': Classification-Based Surrogate Models for JADE. | Konrad Krawczyk, Jaroslaw Arabas |
| 2025 | Multi-criteria Optimization Algorithms specially tailored for Programmable Networks with Quality Management. | Stanislaw Kozdrowski, Wojciech Makos, Zbigniew Kopertowski, Slawomir Sujecki |
| 2025 | An Arithmetic Optimization Algorithm with Dynamic State Estimation for Deadline-Constrained Workflow Scheduling. | Najwa Kouka, Sabrina De Capitani di Vimercati, Vincenzo Piuri, Pierangela Samarati |
| 2025 | Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction. | Ana Kostovska, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov |
| 2025 | Analyzing the Landscape of the Indicator-based Subset Selection Problem. | Keisuke Korogi, Ryoji Tanabe |
| 2025 | Structural bias in optimization algorithms. | Anna V. Kononova, Niki van Stein |
| 2025 | GOM-Based Compatible Substitutions Optimization for Variable-Length Representation Gray-Box Problems. | Maciej Komosinski, Konrad Miazga |
| 2025 | Enhancing Quality-Diversity Optimization Through Domain-Specific Dissimilarity as Crowding Distance. | Maciej Komosinski, Agnieszka Mensfelt |
| 2025 | LLM-Driven Evolution of Metaheuristic Components for GNBG Benchmark. | Pawel Kolendo, Michal Pluhacek, Wojciech Chmiel |
| 2025 | Sparse Transformer for Long-term Forecasting via Genetic Algorithm. | Jingeun Kim, Yourim Yoon |
| 2025 | Evolutionary Ensemble for Prediction of Drifter Trajectories Using Weighted Majority. | Tae-Hoon Kim, Seung-Hyun Moon, Yong-Hyuk Kim |
| 2025 | Written by Artificial Intelligence, Evolved by Genetic Algorithms: An Evolutionary Challenge to Solving the Traveling Salesperson Problem with ChatGPT. | Tae-Hun Kim, Yong-Hyuk Kim |
| 2025 | Memory-Assisted Genetic Algorithm for Signal Timing Optimization in Traffic Networks. | Sahar Kianian, Edward C. Keedwell, Aidan Bennett |