Mario Alejandro Hevia Fajardo

Orcid: 0000-0003-3529-0434

According to our database1, Mario Alejandro Hevia Fajardo authored at least 9 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function.
Artif. Intell., March, 2024

Self-adjusting Population Sizes for Non-elitist Evolutionary Algorithms: Why Success Rates Matter.
Algorithmica, February, 2024

2023
Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

How Fitness Aggregation Methods Affect the Performance of Competitive CoEAs on Bilinear Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022
Theoretical and Empirical Analysis of Parameter Control Mechanisms in the (1 + (λ, λ)) Genetic Algorithm.
ACM Trans. Evol. Learn. Optim., 2022

Hard problems are easier for success-based parameter control.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2020
On the choice of the parameter control mechanism in the (1+(<i>λ, λ</i>)) genetic algorithm.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
An empirical evaluation of success-based parameter control mechanisms for evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019


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