Mario Alejandro Hevia Fajardo

19 papers A 10Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
How Fitness Aggregation Methods Affect the Performance of Competitive CoEAs on Bilinear Problems.
Algorithmica
Mario Alejandro Hevia Fajardo, Per Kristian Lehre
2025 A conf
Runtime Bounds for a Coevolutionary Algorithm on Classes of Potential Games.
FOGA
Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly, Per Kristian Lehre
2024 A conf
A Self-adaptive Coevolutionary Algorithm.
GECCO
Mario Alejandro Hevia Fajardo, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly, Per Kristian Lehre
2024 — conf
Ranking Diversity Benefits Coevolutionary Algorithms on an Intransitive Game.
PPSN (3)
Mario Alejandro Hevia Fajardo, Per Kristian Lehre
2024 J jnl
Self-adjusting Population Sizes for Non-elitist Evolutionary Algorithms: Why Success Rates Matter.
Algorithmica
Mario Alejandro Hevia Fajardo, Dirk Sudholt
2024 J jnl
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function.
Artif. Intell.
Mario Alejandro Hevia Fajardo, Dirk Sudholt
2023 A conf
Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt.
GECCO
Per Kristian Lehre, Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2023 — conf
Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology.
GPTP
Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2023 A conf
How Fitness Aggregation Methods Affect the Performance of Competitive CoEAs on Bilinear Problems.
GECCO
Mario Alejandro Hevia Fajardo, Per Kristian Lehre
2023 A conf
Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation.
FOGA
Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Shishen Lin
2023 — conf
Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation.
GECCO Companion
Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Shishen Lin
2022 J jnl
Hard Problems are Easier for Success-based Parameter Control.
CoRR
Mario Alejandro Hevia Fajardo, Dirk Sudholt
2022 A conf
Hard problems are easier for success-based parameter control.
GECCO
Mario Alejandro Hevia Fajardo, Dirk Sudholt
2022 J jnl
Theoretical and Empirical Analysis of Parameter Control Mechanisms in the (1 + (λ, λ)) Genetic Algorithm.
ACM Trans. Evol. Learn. Optim.
Mario Alejandro Hevia Fajardo, Dirk Sudholt
2021 J jnl
Self-Adjusting Population Sizes for Non-Elitist Evolutionary Algorithms: Why Success Rates Matter.
CoRR
Mario Alejandro Hevia Fajardo, Dirk Sudholt
2021 A conf
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function.
FOGA
Mario Alejandro Hevia Fajardo, Dirk Sudholt
2021 A conf
Self-adjusting population sizes for non-elitist evolutionary algorithms: why success rates matter.
GECCO
Mario Alejandro Hevia Fajardo, Dirk Sudholt
2020 A conf
On the choice of the parameter control mechanism in the (1+(
GECCO
Mario Alejandro Hevia Fajardo, Dirk Sudholt
2019 A conf
An empirical evaluation of success-based parameter control mechanisms for evolutionary algorithms.
GECCO
Mario Alejandro Hevia Fajardo