| 2024 | Distributed Repair of Deep Neural Networks (Hot off the Press at GECCO 2024). | Davide Li Calsi, Matias Duran, Xiao-Yi Zhang, Paolo Arcaini, Fuyuki Ishikawa |
| 2024 | Towards an Evolutionary Approach for Exploting Core Knowledge in Artificial Intelligence. | Andrea Calabrese, Stefano Quer, Giovanni Squillero, Alberto Tonda |
| 2024 | Exploring the Improvement of Evolutionary Computation via Large Language Models. | Jinyu Cai, Jinglue Xu, Jialong Li, Takuto Yamauchi, Hitoshi Iba, Kenji Tei |
| 2024 | Backend-agnostic Tree Evaluation for Genetic Programming. | Bogdan Burlacu |
| 2024 | Feature Encapsulation by Stages Using Grammatical Evolution. | Darian Reyes Fernndez de Bulnes, Allan de Lima, Aidan Murphy, Douglas Mota Dias, Conor Ryan |
| 2024 | Dynamic Difficulty Coefficient in Search-Based Software Testing: Targeting to Hard Branch Coverage. | Thi-Mai-Anh Bui, Van-Tri Do, Minh Vu Le, Quoc-Trung Bui |
| 2024 | A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. | Alexander E. I. Brownlee, Sarah L. Thomson, Rachael Oladapo |
| 2024 | Genetic Improvement: Taking real-world source code and improving it using computational search methods. | Alexander Edward Ian Brownlee, Saemundur O. Haraldsson, John Robert Woodward, Markus Wagner |
| 2024 | Towards Target Derivatives-Enhanced Continued Fraction Regression. | Guillaume Briffoteaux, Andrew Ciezak, Pablo Moscato |
| 2024 | Improving Lexicase Selection with Informed Down-Sampling. | Martin Briesch, Ryan Boldi, Dominik Sobania, Alexander Lalejini, Thomas Helmuth, Franz Rothlauf, Charles Ofria, Lee Spector |
| 2024 | Letting a Large Neighborhood Search for an Electric Dial-A-Ride Problem Fly: On-The-Fly Charging Station Insertion. | Maria Bresich, Gnther R. Raidl, Steffen Limmer |
| 2024 | Bayesian Optimization. | Juergen Branke, Sebastian Rojas-Gonzalez, Ivo Couckuyt |
| 2024 | Evolutionary Algorithm with Cross-Generation Environmental Selection for Traveling Salesman Problem. | Zi Yang Bo, Qiang Yang, Ya-Hui Jia, Xu Dong Gao, Zhen-Yu Lu, Jun Zhang |
| 2024 | Generalised Kruskal Mutation for the Multi-Objective Minimum Spanning Tree Problem. | Jakob Bossek, Christian Grimme |
| 2024 | Generating Diverse Critics for Conditioned Policy Distillation. | Ryan Boldi, Matthew C. Fontaine, Sumeet Batra, Gaurav S. Sukhatme, Stefanos Nikolaidis |
| 2024 | A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program Synthesis. | Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania, Lee Spector, Alexander Lalejini |
| 2024 | Solving Deceptive Problems Without Explicit Diversity Maintenance. | Ryan Boldi, Li Ding, Lee Spector |
| 2024 | Evaluation of Genetic Algorithms in Multi-Vehicle Control for Multi-Target Tracking Applications. | Aidan Blair, Amirali Khodadadian Gostar, Xiaodong Li, Alireza Bab-Hadiashar, Reza Hoseinnezhad |
| 2024 | Evolutionary Exploration of Triply Periodic Minimal Surfaces via Quality Diversity. | Jordan T. Bishop, Jason Jooste, David Howard |
| 2024 | Evolving Hierarchical Neural Cellular Automata. | Kameron Bielawski, Nate Gaylinn, Cameron Lunn, Kevin Motia, Joshua Clifford Bongard |
| 2024 | Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition. | Ying Bi, Stefano Cagnoni, Yanan Sun |
| 2024 | Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models. | Shailendra Bhandari, Pedro Lencastre, Pedro G. Lind |
| 2024 | Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks. | Amanda Bertschinger, James P. Bagrow, Joshua Clifford Bongard |
| 2024 | EvoAl - Codeless Domain-Optimisation. | Bernhard Johannes Berger, Christina Plump, Lauren Paul, Rolf Drechsler |
| 2024 | Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. | Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer |