| 2024 | Multi-objective evolutionary GAN for tabular data synthesis. | Nian Ran, Bahrul Ilmi Nasution, Claire Little, Richard Allmendinger, Mark J. Elliot |
| 2024 | Immuno-inspired Selective Aggregation for Decentralized Federated Deep Reinforcement Learning. | Gayathri Rangu, Shivashankar B. Nair |
| 2024 | Investigating Structural Bias in Real-Coded Genetic Algorithms. | Kanchan Rajwar, Yogesh Kumar, Kusum Deep |
| 2024 | Towards solving expensive optimization problems with heterogeneous constraint costs. | Kamrul Hasan Rahi, Hemant K. Singh, Tapabrata Ray |
| 2024 | Interactive Symbolic Regression - A Study on Noise Sensitivity and Extrapolation Accuracy. | S. Sanjith Raghav, S. Tejesh Kumar, Rishiikesh Balaji, M. Sanjay, C. Shunmuga Velayutham |
| 2024 | A Comparison of Feature Engineering Techniques for Hearing Loss. | Miguel Rabuge, Nuno Loureno |
| 2024 | Key Strategies for Optimal PV System Allocation. | Rui Qi, Ya-Hui Jia |
| 2024 | Analyzing the Runtime of the Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) on the Concatenated Trap Function. | Yukai Qiao, Marcus Gallagher |
| 2024 | Bayesian Optimization with Setup Switching Cost. | Stefan Pricopie, Richard Allmendinger, Manuel Lpez-Ibez, Clyde Fare, Matt Benatan, Joshua D. Knowles |
| 2024 | Efficient Edge Computing: Harnessing Compact Machine Learning Models for Workload Optimization. | Mohammad Reza Pour-Hosseini, Mahdi Abbasi, Bahman Javadi, Seifeddine Benelghali, Hassan Haghighi, Ehsan Mohammadi Pasand, Parham Moradi |
| 2024 | Direct Augmented Lagrangian Evolution Strategies. | Jeremy Porter, Dirk V. Arnold |
| 2024 | Measuring Population Diversity in Variable Dimension Search Spaces. | Michal Pluhacek, Adam Viktorin, Tomas Kadavy, Jozef Kovc, Roman Senkerik |
| 2024 | Using LLM for Automatic Evolvement of Metaheuristics from Swarm Algorithm SOMA. | Michal Pluhacek, Jozef Kovc, Adam Viktorin, Peter Janku, Tomas Kadavy, Roman Senkerik |
| 2024 | A Critical Examination of Large Language Model Capabilities in Iteratively Refining Differential Evolution Algorithm. | Michal Pluhacek, Jozef Kovc, Peter Janku, Tomas Kadavy, Roman Senkerik, Adam Viktorin |
| 2024 | GOLEM: Flexible Evolutionary Design of Graph Representations of Physical and Digital Objects. | Maiia Pinchuk, Grigorii Kirgizov, Lyubov Yamshchikova, Nikolay O. Nikitin, Irina Deeva, Karine Shakhkyan, Ivan I. Borisov, Kirill Zharkov, Anna V. Kalyuzhnaya |
| 2024 | Transfer Learning in Evolutionary Spaces. | Nelishia Pillay |
| 2024 | The Role of the Substrate in CA-based Evolutionary Algorithms. | Gloria Pietropolli, Stefano Nichele, Eric Medvet |
| 2024 | AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework. | Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo, Anna Wjcik |
| 2024 | Combining Adaptive Large Neighborhood Search with Guided Ejection Search for Real-World Multiple-Vehicle Pickup and Delivery Problem with Time Windows. | Tri Phan, Khang Tran, Ngoc Hoang Luong |
| 2024 | Efficient Multi-Fidelity Neural Architecture Search with Zero-Cost Proxy-Guided Local Search. | Quan Minh Phan, Ngoc Hoang Luong |
| 2024 | On Generalization of ELA Feature Groups. | Gasper Petelin, Gjorgjina Cenikj |
| 2024 | Multi-Objective Evolutionary Algorithms with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem. | Kokila Kasuni Perera, Aneta Neumann |
| 2024 | Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework. | Jiyuan Pei, Jialin Liu, Yi Mei |
| 2024 | Redesigning road infrastructure to integrate e-scooter micromobility as part of multimodal transportation. | Diego Daniel Pedroza-Perez, Jamal Toutouh, Gabriel Luque |
| 2024 | Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents. | Joachim Winther Pedersen, Erwan Plantec, Eleni Nisioti, Milton Montero, Sebastian Risi |