Mario A. Muñoz
Mario A. Muñoz
Research Fellow, School of Mathematics and Statistics, The University of Melbourne
Verified email at unimelb.edu.au
Title
Cited by
Cited by
Year
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
992015
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
792015
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
58*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
572012
Instance Spaces for Machine Learning Classification
MA Muñoz, L Villanova, D Baatar, K Smith-Miles
Machine Learning 107 (1), 109–147, 2018
462018
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
372014
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
322017
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
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
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
An artificial beehive algorithm for continuous optimization
MA Munoz, JA López, E Caicedo
International Journal of Intelligent Systems 24 (11), 1080-1093, 2009
17*2009
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
162020
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
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
92016
Control Inteligente
E Caicedo, JA López, MA Muñoz
Universidad del Valle, 2009
92009
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
82020
Effects of function translation and dimensionality reduction on landscape analysis
MA Munoz, K Smith-Miles
2015 IEEE Congress on Evolutionary Computation, 2015
82015
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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