| 2025 | FOGA | Runtime Bounds for a Coevolutionary Algorithm on Classes of Potential Games. | Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly, Per Kristian Lehre |
| 2024 | GECCO | A Self-adaptive Coevolutionary Algorithm. | Mario Alejandro Hevia Fajardo, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly, Per Kristian Lehre |
| 2024 | PPSN | Ranking Diversity Benefits Coevolutionary Algorithms on an Intransitive Game. | Mario Alejandro Hevia Fajardo, Per Kristian Lehre |
| 2023 | FOGA | Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation. | Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Shishen Lin |
| 2023 | GECCO | How Fitness Aggregation Methods Affect the Performance of Competitive CoEAs on Bilinear Problems. | Mario Alejandro Hevia Fajardo, Per Kristian Lehre |
| 2023 | GECCO | Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation. | Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Shishen Lin |
| 2023 | GECCO | Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt. | Per Kristian Lehre, Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly |
| 2022 | GECCO | Hard problems are easier for success-based parameter control. | Mario Alejandro Hevia Fajardo, Dirk Sudholt |
| 2021 | FOGA | Self-adjusting offspring population sizes outperform fixed parameters on the cliff function. | Mario Alejandro Hevia Fajardo, Dirk Sudholt |
| 2021 | GECCO | Self-adjusting population sizes for non-elitist evolutionary algorithms: why success rates matter. | Mario Alejandro Hevia Fajardo, Dirk Sudholt |
| 2020 | GECCO | On the choice of the parameter control mechanism in the (1+( | Mario Alejandro Hevia Fajardo, Dirk Sudholt |
| 2019 | GECCO | An empirical evaluation of success-based parameter control mechanisms for evolutionary algorithms. | Mario Alejandro Hevia Fajardo |