Mario A. Muñoz
Mario A. Muñoz
Research Fellow, School of Mathematics and Statistics, The University of Melbourne
Verified email at unimelb.edu.au
TitleCited byYear
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
602015
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
522015
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
492012
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
482008
Simplifying the bacteria foraging optimization algorithm
MA Munoz, SK Halgamuge, W Alfonso, EF Caicedo
IEEE Congress on Evolutionary Computation, 1-7, 2010
292010
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, 2014
252014
The algorithm selection problem on the continuous optimization domain
MA Munoz, M Kirley, SK Halgamuge
Computational intelligence in intelligent data analysis, 75-89, 2013
242013
Instance Spaces for Machine Learning Classification
MA Muñoz, L Villanova, D Baatar, K Smith-Miles
Machine Learning 107 (1), 109–147, 2018
232018
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
182017
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
162014
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
152012
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
An artificial beehive algorithm for continuous optimization
MA Munoz, JA López, E Caicedo
International Journal of Intelligent Systems 24 (11), 1080-1093, 2009
14*2009
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
112007
ICARUS: Identification of Complementary algoRithms by Uncovered Sets
MA Muñoz, M Kirley
2016 IEEE Congress on Evolutionary Computation, 2016
82016
Anomaly Detection in Streaming Nonstationary Temporal Data
PD Talagala, RJ Hyndman, K Smith-Miles, S Kandanaarachchi, ...
Journal of Computational and Graphical Statistics, 2019
72019
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
Implementation of a distributed control experimentation platform
MA Muñoz, JA López, EF Caicedo
Industrial Electronics and Control Applications, 2005. ICIECA 2005 …, 2005
72005
Effects of function translation and dimensionality reduction on landscape analysis
MA Munoz, K Smith-Miles
IEEE Congress on Evolutionary Computation, 2015
62015
Control Inteligente
E Caicedo, JA Lopez, MA Muñoz
Universidad del Valle, 2009
62009
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Articles 1–20