| 2025 | GECCO | Random Gradient Hyper-heuristics Can Learn to Escape Local Optima in Multimodal Optimisation. | Yuxuan Ma, Pietro S. Oliveto, John Alasdair Warwicker |
| 2024 | GECCO | A Runtime Analysis of Bias-invariant Neuroevolution and Dynamic Fitness Evaluation. | Paul Fischer, John Alasdair Warwicker, Carsten Witt |
| 2023 | APNOMS | Efficient Decomposition-Based Methods for Optimal VNF Placement and Chaining. | Issam Abdeldjalil Ikhelef, John Alasdair Warwicker, Steffen Rebennack, Mohand Yazid Saidi, Ken Chen |
| 2020 | AAAI | How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics. | Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker |
| 2019 | AAAI | On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation. | Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker |
| 2018 | GECCO | On the runtime analysis of selection hyper-heuristics with adaptive learning periods. | Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker |
| 2017 | GECCO | On the runtime analysis of generalised selection hyper-heuristics for pseudo-boolean optimisation. | Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker |