| 2023 | Neuroevolutionary Compiler Control for Code Optimization. | Kade Heckel |
| 2023 | Neuroevolution for Autonomous Cyber Defense. | Kade Heckel |
| 2023 | Effects of Objective Space Normalization in Multi-Objective Evolutionary Algorithms on Real-World Problems. | Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan |
| 2023 | How to Tell a Fish from a Bee: Constructing Meta-Heuristic Search Behaviour Characteristics. | Lauren Hayward, Andries P. Engelbrecht |
| 2023 | Multi-Objective Multi-Gene Genetic Programming for the Prediction of Leakage in Water Distribution Networks. | Matthew Hayslep, Edward C. Keedwell, Raziyeh Farmani |
| 2023 | Active Learning Informs Symbolic Regression Model Development in Genetic Programming. | Nathan Haut, Bill Punch, Wolfgang Banzhaf |
| 2023 | A Distributed Multilevel Memetic Algorithm for Signed Graph Clustering. | Felix Hausberger, Marcelo Fonseca Faraj, Christian Schulz |
| 2023 | Towards optimisers that 'Keep Learning'. | Emma Hart, Ian Miguel, Christopher Stone, Quentin Renau |
| 2023 | Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression? | Joe Harrison, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman |
| 2023 | A Novel Quadtree-Based Genetic Programming Search for Searchable Encryption Optimization. | Po-Wei Harn, Bo Hui, Sai Deepthi Yeddula, Libo Sun, Min-Te Sun, Wei-Shinn Ku |
| 2023 | Multi-Objective Artificial Bee Colony for Assembly Flexible Job Shop with Transportation and Setup Times. | Runxin Han, Junqing Li, Xiumei Xiao |
| 2023 | Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examples. | Adam Handke, Damian Jzwiak, Piotr Kaminski, Michal Wisniewski, Milosz Kadzinski |
| 2023 | Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments. | Gautier Hamon, Eleni Nisioti, Clment Moulin-Frier |
| 2023 | Configuring a Hierarchical Evolutionary Strategy Using Exploratory Landscape Analysis. | Hubert Guzowski, Maciej Smolka |
| 2023 | The Impact of Asynchrony on Parallel Model-Based EAs. | Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman |
| 2023 | MOAZ: A Multi-Objective AutoML-Zero Framework. | Ritam Guha, Wei Ao, Stephen Kelly, Vishnu Boddeti, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb |
| 2023 | Finding Near-Optimal Weight Independent Sets at Scale. | Ernestine Gromann, Sebastian Lamm, Christian Schulz, Darren Strash |
| 2023 | Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains. | Luca Grillotti, Manon Flageat, Bryan Lim, Antoine Cully |
| 2023 | Kheperax: a Lightweight JAX-based Robot Control Environment for Benchmarking Quality-Diversity Algorithms. | Luca Grillotti, Antoine Cully |
| 2023 | Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata. | Caitlin Grasso, Josh C. Bongard |
| 2023 | Quantum Speed-ups for Single-machine Scheduling Problems. | Camille Grange, Eric Bourreau, Michael Poss, Vincent T'kindt |
| 2023 | Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality. | Kevin Carrie Graham, Sarah Louise Thomson, Alexander Edward Ian Brownlee |
| 2023 | Optimizing Energy Operation and Planning using Ring Cellular Encode-Decode Univariate Marginal Distribution Algorithm. | Ansel Y. Rodrguez-Gonzlez, ngel Daz-Pacheco, Ramn Aranda, Miguel ngel lvarez-Carmona, Yoan Martnez Lpez, Julio Madera |
| 2023 | Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. | Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2023 | AI for Scientific Discovery and a Sustainable Future. | Carla Pedro Gomes |