| 2026 | PPSN | Hybrid Adaptive RL Preference Learning in Multi-objective Portfolio Optimisation. | Rahul Soni, Matthew J. Craven, David J. Walker, Julian Stander |
| 2025 | GECCO | Multi-objective Optimisation of Floating Offshore Wind Farms based on a Real-World Case Study. | Pawel L. Manikowski, David J. Walker, Matthew J. Craven |
| 2022 | GECCO | An explainable visualisation of the evolutionary search process. | Mathew J. Walter, David J. Walker, Matthew J. Craven |
| 2020 | IJCCI | A Structured Approach to Modifying Successful Heuristics. | Simon P. Martin, Matthew J. Craven, John R. Woodward |
| 2020 | PPSN | Visualising Evolution History in Multi- and Many-objective Optimisation. | Mathew J. Walter, David J. Walker, Matthew J. Craven |
| 2019 | GECCO | Efficient frontiers in portfolio optimisation with minimum proportion constraints. | Tahani S. Alotaibi, Matthew J. Craven |
| 2017 | GECCO | Exploring the (efficient) frontiers of portfolio optimization. | Matthew J. Craven, David I. Graham |
| 2017 | GECCO | BBIOS: a characterization of evolutionary algorithm stability. | Matthew J. Craven, Simon P. Martin |
| 2014 | GECCO | EA stability visualization: perturbations, metrics and performance. | Matthew J. Craven, Henri C. Jimbo |
| 2013 | GECCO | An EA for portfolio selection over multiple investment periods with exponential transaction costs. | Matthew J. Craven, Henri C. Jimbo |
| 2012 | GECCO | A dynamical model of cancer chemotherapy with disturbance. | Henri C. Jimbo, Matthew J. Craven |