Mario A. Hevia Fajardo

University of Birmingham.


University of Birmingham


Birmingham, UK

B15 2TT

I am a Research Fellow at the University of Birmingham in the School of Computer Science in the group of Prof. Per Kristian Lehre. Before coming to Birmingham, I obtained a PhD degree at the University of Sheffield under supervision of Prof. Dirk Sudholt and Prof. Pietro Oliveto.

My main research interests are in theory of evolutionary computation and randomized search heuristics. Currently, I am working on the analysis of competitive coevolutionary algorithms.


May 24, 2023 UK AI Conference 2023

Selected Publications

  1. Self-adjusting Population Sizes for Non-elitist Evolutionary Algorithms: Why Success Rates Matter
    Mario Alejandro Hevia Fajardo, and Dirk Sudholt
    Algorithmica, Jul 2023
  2. Theoretical and Empirical Analysis of Parameter Control Mechanisms in the (1 +(λ,λ)) Genetic Algorithm
    Mario Alejandro Hevia Fajardo, and Dirk Sudholt
    ACM Trans. Evol. Learn. Optim., Jan 2023
  1. Self-Adjusting Offspring Population Sizes Outperform Fixed Parameters on the Cliff Function
    Mario Alejandro Hevia Fajardo, and Dirk Sudholt
    In Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2021