| 2024 | GECCO | LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization. | Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn |
| 2023 | GECCO | Augmentative Topology Agents For Open-Ended Learning. | Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher W. Cleghorn |
| 2022 | GECCO | Procedural content generation using neuroevolution and novelty search for diverse video game levels. | Michael Beukman, Christopher W. Cleghorn, Steven James |
| 2022 | IJCNN | A Local Optima Network Analysis of the Feedforward Neural Architecture Space. | Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman |
| 2022 | PPSN | A Continuous Optimisation Benchmark Suite from Neural Network Regression. | Katherine M. Malan, Christopher W. Cleghorn |
| 2021 | GECCO | Understanding parameter spaces using local optima networks: a case study on particle swarm optimization. | Christopher W. Cleghorn, Gabriela Ochoa |
| 2021 | GECCO | Recent advances in particle swarm optimization analysis and understanding 2021. | Andries P. Engelbrecht, Christopher W. Cleghorn |
| 2020 | CEC | Heuristic Space Diversity Measures for Population-based Hyper-heuristics. | Stefan van der Stockt, Andries P. Engelbrecht, Christopher W. Cleghorn |
| 2020 | GECCO | Recent advances in particle swarm optimization analysis and understanding. | Andries P. Engelbrecht, Christopher W. Cleghorn |