| 2024 | Runtime Analysis of Coevolutionary Algorithms on a Class of Symmetric Zero-Sum Games. | Alistair Benford, Per Kristian Lehre |
| 2024 | Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization. | Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek |
| 2024 | Directed Acyclic Program Graph Applied to Supervised Classification. | Thibaut Bellanger, Matthieu Le Berre, Manuel Clergue, Jin-Kao Hao |
| 2024 | Evolutionary image vectorization with variable curve number. | Egor Bazhenov, Ivan Jarsky, Valeria Efimova, Sergey Muravyov |
| 2024 | Evolutionary Computation Meets Graph Drawing: Runtime Analysis for Crossing Minimisation on Layered Graph Drawings. | Jakob Baumann, Ignaz Rutter, Dirk Sudholt |
| 2024 | Quality Diversity for Robot Learning: Limitations and Future Directions. | Sumeet Batra, Bryon Tjanaka, Stefanos Nikolaidis, Gaurav S. Sukhatme |
| 2024 | Semantically Rich Local Dataset Generation for Explainable AI in Genomics. | Pedro Barbosa, Rosina Savisaar, Alcides Fonseca |
| 2024 | The Effect of Training Schedules on Morphological Robustness and Generalization. | Edoardo Barba, Anil Yaman, Giovanni Iacca |
| 2024 | On the Nature of the Phenotype in Tree Genetic Programming. | Wolfgang Banzhaf, Illya Bakurov |
| 2024 | Linear Genetic Programming. | Wolfgang Banzhaf, Ting Hu |
| 2024 | The Space Optimization Competition: Third Edition. | Max Bannach, Emmanuel Blazquez, Dario Izzo, Giacomo Acciarini, Alexander Hadjiivanov, Gernot Heiel, Rita Mastroianni, Sebastien Origer, Jai Grover, Dominik Dold, Zacharia Rudge |
| 2024 | Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real-Parameter Optimization. | Indu Bala, Dikshit Chauhan, Lewis Mitchell |
| 2024 | Evolutionary Data Subset Selection for Class-Incremental Learning on Memory-Constrained Systems. | Epifanios Baikas, Danesh Tarapore, David Thomas |
| 2024 | Exploring Evolutionary Generators within Generative Adversarial Networks. | Francisco Baeta, Joo Correia, Tiago Martins, Penousal Machado |
| 2024 | Exploring the use of fitness landscape analysis for understanding malware evolution. | Kehinde O. Babaagba, Ritwik Murali, Sarah L. Thomson |
| 2024 | Enhancing Electric Vehicle Charging Schedules: A Surrogate-Assisted Approach. | Abdennour Azerine, Mahmoud Golabi, Ammar Oulamara, Lhassane Idoumghar |
| 2024 | Utilising Quantum Hybrid Solver for Bi-objective Quadratic Assignment Problems. | Mayowa Ayodele |
| 2024 | Search-based Crash Reproduction for Android Apps. | Michael Auer, Dominik Diner, Gordon Fraser |
| 2024 | AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. | Daan Apeldoorn, Alexander Dockhorn, Torsten Panholzer |
| 2024 | A Functional Analysis Approach to Symbolic Regression. | Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bck, Niki van Stein, Anna V. Kononova |
| 2024 | Gene-level adaptation in Balanced Non-Dominated Tournament Genetic Algorithm (aB-NTGA) applied to versatile Multi-Stage Weapon-Target Assignment Problem. | Michal Antkiewicz, Pawel B. Myszkowski, Konrad Gmyrek |
| 2024 | A Detailed Experimental Analysis of Evolutionary Diversity Optimization for OneMinMax. | Denis Antipov, Aneta Neumann, Frank Neumann |
| 2024 | Already Moderate Population Sizes Provably Yield Strong Robustness to Noise. | Denis Antipov, Benjamin Doerr, Alexandra Ivanova |
| 2024 | Parametric-Task MAP-Elites. | Timothe Anne, Jean-Baptiste Mouret |
| 2024 | Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA. | Georgios Andreadis, Tanja Alderliesten, Peter A. N. Bosman |