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Mario Alejandro Hevia Fajardo
Mario Alejandro Hevia Fajardo
Research Fellow, University of Birmingham
Verified email at bham.ac.uk - Homepage
Title
Cited by
Cited by
Year
Self-adjusting population sizes for non-elitist evolutionary algorithms: why success rates matter
MA Hevia Fajardo, D Sudholt
Proceedings of the Genetic and Evolutionary Computation Conference, 1151–1159, 2021
242021
Self-adjusting population sizes for non-elitist evolutionary algorithms: why success rates matter
MA Hevia Fajardo, D Sudholt
arXiv preprint arXiv:2104.05624, 2021
242021
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function
MA Hevia Fajardo, D Sudholt
Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic …, 2021
212021
On the choice of the parameter control mechanism in the (1+(λ, λ)) genetic algorithm
MA Hevia Fajardo, D Sudholt
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 832-840, 2020
162020
Hard problems are easier for success-based parameter control
MA Hevia Fajardo, D Sudholt
Proceedings of the Genetic and Evolutionary Computation Conference, 796-804, 2022
92022
An empirical evaluation of success-based parameter control mechanisms for evolutionary algorithms
MA Hevia Fajardo
Proceedings of the Genetic and Evolutionary Computation Conference, 787-795, 2019
82019
Theoretical and Empirical Analysis of Parameter Control Mechanisms in the (1+(λ, λ)) Genetic Algorithm
MA Hevia Fajardo, D Sudholt
ACM Transactions on Evolutionary Learning 2 (4), 1-39, 2023
52023
How Fitness Aggregation Methods Affect the Performance of Competitive CoEAs on Bilinear Problems
MA Hevia Fajardo, PK Lehre
Proceedings of the Genetic and Evolutionary Computation Conference, 1593-1601, 2023
22023
Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt
PK Lehre, M Hevia Fajardo, J Toutouh, E Hemberg, UM O'Reilly
Proceedings of the Genetic and Evolutionary Computation Conference, 1027-1035, 2023
12023
Runtime Analysis of Success-Based Parameter Control Mechanisms for Evolutionary Algorithms on Multimodal Problems
MA Hevia Fajardo
University of Sheffield, 2023
12023
Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology
M Hevia Fajardo, PK Lehre, J Toutouh, E Hemberg, UM O’Reilly
Genetic Programming Theory and Practice XX, 19-44, 2024
2024
Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation
MA Hevia Fajardo, PK Lehre, S Lin
Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023
2023
Self-adjusting Population Sizes for Non-elitist Evolutionary Algorithms
M Hevia Fajardo, D Sudholt
2023
Runtime Analysis of a Co-Evolutionary Algorithm
M Hevia Fajardo, PK Lehre, S Lin
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