Maria Yaneli Ameca Alducin
Maria Yaneli Ameca Alducin
Optimisation and Logistics, School of Computer
Verified email at adelaide.edu.au
Title
Cited by
Cited by
Year
Evaluation of the diagnostic power of thermography in breast cancer using bayesian network classifiers
CR Nicandro, MM Efrén, AA Maria Yaneli, MDCM Enrique, ...
Computational and mathematical methods in medicine 2013, 2013
522013
Differential evolution with combined variants for dynamic constrained optimization
MY Ameca-Alducin, E Mezura-Montes, N Cruz-Ramirez
2014 IEEE Congress on Evolutionary Computation (CEC), 975-982, 2014
202014
Assessment of Bayesian network classifiers as tools for discriminating breast cancer pre-diagnosis based on three diagnostic methods
AAM Yaneli, CR Nicandro, MM Efrén, PC Nancy, AMH Gabriel
Mexican International Conference on Artificial Intelligence, 419-431, 2012
132012
A repair method for differential evolution with combined variants to solve dynamic constrained optimization problems
MY Ameca-Alducin, E Mezura-Montes, N Cruz-Ramírez
Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015
122015
A comparison of constraint handling techniques for dynamic constrained optimization problems
MY Ameca-Alducin, M Hasani-Shoreh, W Blaikie, F Neumann, ...
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
92018
On the use of repair methods in differential evolution for dynamic constrained optimization
MY Ameca-Alducin, M Hasani-Shoreh, F Neumann
International Conference on the Applications of Evolutionary Computation …, 2018
72018
Dynamic differential evolution with combined variants and a repair method to solve dynamic constrained optimization problems: an empirical study
MY Ameca-Alducin, E Mezura-Montes, N Cruz-Ramírez
Soft Computing 22 (2), 541-570, 2018
72018
On the behaviour of differential evolution for problems with dynamic linear constraints
M Hasani-Shoreh, MY Ameca-Alducin, W Blaikie, F Neumann, ...
2019 IEEE Congress on Evolutionary Computation (CEC), 3045-3052, 2019
62019
How good is crude MDL for solving the bias-variance dilemma? An empirical investigation based on Bayesian networks
N Cruz-Ramírez, HG Acosta-Mesa, E Mezura-Montes, ...
PloS one 9 (3), e92866, 2014
42014
Differential evolution with a repair method to solve dynamic constrained optimization problems
MY Ameca-Alducin, E Mezura-Montes, N Cruz-Ramírez
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015
32015
Particle Swarm Optimization with feasibility rules in constrained numerical optimization. A brief review
VJ Aguilera-Rueda, MY Ameca-Alducin, E Mezura-Montes, ...
2016 IEEE International Autumn Meeting on Power, Electronics and Computing …, 2016
12016
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