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Mario Andrés Muñoz
Mario Andrés Muñoz
Research Fellow, ARC Centre in Optimisation Technologies, Integrated Methodologies and Applications
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
1542015
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
1102015
Instance Spaces for Machine Learning Classification
MA Muñoz, L Villanova, D Baatar, K Smith-Miles
Machine Learning 107 (1), 109–147, 2018
1062018
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
702008
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
632012
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
522017
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
502014
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
452020
Simplifying the bacteria foraging optimization algorithm
MA Munoz, SK Halgamuge, W Alfonso, EF Caicedo
2010 IEEE Congress on Evolutionary Computation, 1-7, 2010
382010
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
362020
The algorithm selection problem on the continuous optimization domain
MA Munoz, M Kirley, SK Halgamuge
Computational intelligence in intelligent data analysis, 75-89, 2013
322013
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
242014
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
242012
An artificial beehive algorithm for continuous optimization
MA Munoz, JA López, E Caicedo
International Journal of Intelligent Systems 24 (11), 1080-1093, 2009
22*2009
Generating New Space-Filling Test Instances for Continuous Black-Box Optimization
MA Muñoz, KA Smith-Miles
Evolutionary Computation 28 (3), 379-404, 2020
182020
Effects of function translation and dimensionality reduction on landscape analysis
MA Munoz, K Smith-Miles
2015 IEEE Congress on Evolutionary Computation, 2015
162015
ICARUS: Identification of Complementary algoRithms by Uncovered Sets
MA Muñoz, M Kirley
2016 IEEE Congress on Evolutionary Computation, 2016
152016
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
152007
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
Toward dynamic evaluations of materials criticality: A systems framework applied to platinum
Y Yuan, M Yellishetti, GM Mudd, MA Muñoz, SA Northey, TT Werner
Resources, Conservation & Recycling 152, 104532, 2020
102020
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