Mario Andrés Muñoz
Mario Andrés Muñoz
Research Fellow, School of Mathematics and Statistics, The University of Melbourne
E-mail confirmado em unimelb.edu.au
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Algorithm selection for black-box continuous optimization problems: a survey on methods and challenges
MA Munoz, Y Sun, M Kirley, SK Halgamuge
Information Sciences 317, 224-245, 2015
1062015
Exploratory landscape analysis of continuous space optimization problems using information content
MA Muñoz, M Kirley, SK Halgamuge
IEEE Transactions on Evolutionary Computation 19 (1), 74-87, 2015
812015
Inteligencia de enjambres: sociedades para la solución de problemas (una revisión)
MA Muñoz, JA López, EF Caicedo
Ingeniería e Investigación 28 (2), 119-130, 2008
60*2008
A meta-learning prediction model of algorithm performance for continuous optimization problems
MA Muñoz, M Kirley, SK Halgamuge
International Conference on Parallel Problem Solving from Nature, 226-235, 2012
582012
Instance Spaces for Machine Learning Classification
MA Muñoz, L Villanova, D Baatar, K Smith-Miles
Machine Learning 107 (1), 109–147, 2018
512018
A comparison of optimization methods and knee joint degrees of freedom on muscle force predictions during single-leg hop landings
H Mokhtarzadeh, L Perraton, L Fok, MA Muñoz, R Clark, P Pivonka, ...
Journal of Biomechanics 47 (12), 2863-2868, 2014
382014
Simplifying the bacteria foraging optimization algorithm
MA Munoz, SK Halgamuge, W Alfonso, EF Caicedo
2010 IEEE Congress on Evolutionary Computation, 1-7, 2010
372010
Performance analysis of continuous black-box optimization algorithms via footprints in instance space
MA Muñoz, KA Smith-Miles
Evolutionary computation 25 (4), 529-554, 2017
362017
The algorithm selection problem on the continuous optimization domain
MA Munoz, M Kirley, SK Halgamuge
Computational intelligence in intelligent data analysis, 75-89, 2013
262013
Anomaly Detection in Streaming Nonstationary Temporal Data
PD Talagala, RJ Hyndman, K Smith-Miles, S Kandanaarachchi, ...
Journal of Computational and Graphical Statistics 29 (1), 13-27, 2020
182020
Landscape characterization of numerical optimization problems using biased scattered data
MA Munoz, M Kirley, SK Halgamuge
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
182012
An artificial beehive algorithm for continuous optimization
MA Munoz, JA López, E Caicedo
International Journal of Intelligent Systems 24 (11), 1080-1093, 2009
18*2009
On the selection of fitness landscape analysis metrics for continuous optimization problems
Y Sun, SK Halgamuge, M Kirley, MA Munoz
7th International Conference on Information and Automation for …, 2014
172014
Bacteria swarm foraging optimization for dynamical resource allocation in a multizone temperature experimentation platform
MA Munoz, JA Lopez, E Caicedo
Analysis and Design of Intelligent Systems using Soft Computing Techniques …, 2007
152007
On normalization and algorithm selection for unsupervised outlier detection
S Kandanaarachchi, MA Muñoz, R Hyndman, K Smith-Miles
Data Mining and Knowledge Discovery 34, 309-354, 2020
132020
Optimización de funciones inspirada en el comportamiento de búsqueda de néctar en abejas
W Alfonso, M Muñoz, J López, E Caicedo
Memorias del Congreso Internacional de Inteligencia Computacional (CIIC2007 …, 2007
122007
ICARUS: Identification of Complementary algoRithms by Uncovered Sets
MA Muñoz, M Kirley
2016 IEEE Congress on Evolutionary Computation, 2016
112016
Effects of function translation and dimensionality reduction on landscape analysis
MA Munoz, K Smith-Miles
2015 IEEE Congress on Evolutionary Computation, 2015
92015
Control Inteligente
E Caicedo, JA López, MA Muñoz
Universidad del Valle, 2009
92009
Ant colony optimization for dynamical resource allocation in a multizone temperature experimentation platform
MA Munoz, JA Lopez, EF Caicedo
IEEE Latin America Transactions 5 (2), 81-86, 2007
7*2007
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