Mario Alejandro Hevia Fajardo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Evolutionary Algorithm

Top Venues

ACM Trans. Evol. Learn. Optim.

Publications

Mario Alejandro Hevia Fajardo, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly, Per Kristian Lehre
A Self-adaptive Coevolutionary Algorithm. GECCO (2024)
Mario Alejandro Hevia Fajardo, Dirk Sudholt
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function. Artif. Intell. 328 (2024)
Mario Alejandro Hevia Fajardo, Dirk Sudholt
Self-adjusting Population Sizes for Non-elitist Evolutionary Algorithms: Why Success Rates Matter. Algorithmica 86 (2) (2024)
Per Kristian Lehre, Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt. GECCO (2023)
Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Shishen Lin
Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation. FOGA (2023)
Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Shishen Lin
Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation. GECCO Companion (2023)
Mario Alejandro Hevia Fajardo, Per Kristian Lehre
How Fitness Aggregation Methods Affect the Performance of Competitive CoEAs on Bilinear Problems. GECCO (2023)
Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology. GPTP (2023)
Mario Alejandro Hevia Fajardo, Dirk Sudholt
Theoretical and Empirical Analysis of Parameter Control Mechanisms in the (1 + (λ, λ)) Genetic Algorithm. ACM Trans. Evol. Learn. Optim. 2 (4) (2022)
Mario Alejandro Hevia Fajardo, Dirk Sudholt
Hard Problems are Easier for Success-based Parameter Control. CoRR (2022)
Mario Alejandro Hevia Fajardo, Dirk Sudholt
Hard problems are easier for success-based parameter control. GECCO (2022)
Mario Alejandro Hevia Fajardo, Dirk Sudholt
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function. FOGA (2021)
Mario Alejandro Hevia Fajardo, Dirk Sudholt
Self-Adjusting Population Sizes for Non-Elitist Evolutionary Algorithms: Why Success Rates Matter. CoRR (2021)
Mario Alejandro Hevia Fajardo, Dirk Sudholt
Self-adjusting population sizes for non-elitist evolutionary algorithms: why success rates matter. GECCO (2021)
Mario Alejandro Hevia Fajardo, Dirk Sudholt
)) genetic algorithm. GECCO (2020)
Mario Alejandro, Mario Alejandro Hevia Fajardo
An empirical evaluation of success-based parameter control mechanisms for evolutionary algorithms. GECCO (2019)