Mario Andrés Muñoz
Mario Andrés Muñoz
Other namesMario A. Muñoz
Research Fellow, ARC Centre in Optimisation Technologies, Integrated Methodologies and Applications
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Cited by
Cited by
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
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
Instance Spaces for Machine Learning Classification
MA Muñoz, L Villanova, D Baatar, K Smith-Miles
Machine Learning 107 (1), 109–147, 2018
A meta-learning prediction model of algorithm performance for continuous optimization problems
MA Muñoz, M Kirley, SK Halgamuge
Parallel Problem Solving from Nature-PPSN XII: 12th International Conference …, 2012
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
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
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
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
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
Generating New Space-Filling Test Instances for Continuous Black-Box Optimization
MA Muñoz, KA Smith-Miles
Evolutionary Computation 28 (3), 379-404, 2020
Simplifying the bacteria foraging optimization algorithm
MA Munoz, SK Halgamuge, W Alfonso, EF Caicedo
2010 IEEE Congress on Evolutionary Computation, 1-7, 2010
The algorithm selection problem on the continuous optimization domain
MA Munoz, M Kirley, SK Halgamuge
Computational intelligence in intelligent data analysis, 75-89, 2013
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
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
An artificial beehive algorithm for continuous optimization
MA Munoz, JA López, E Caicedo
International Journal of Intelligent Systems 24 (11), 1080-1093, 2009
Early detection of vegetation ignition due to powerline faults
S Kandanaarachchi, N Anantharama, MA Munoz
IEEE Transactions on Power Delivery 36 (3), 1324-1334, 2021
Revisiting "Where are the Hard Knapsack Problems?" via Instance Space Analysis
K Smith-Miles, J Christiansen, MA Muñoz
Computers & Operations Research 128, 105184, 2021
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
Instance Space Analysis for Algorithm Testing: Methodology and Software Tools
K Smith-Miles, MA Muñoz
ACM Computing Surveys 55 (12:255), 1-31, 2023
An Instance Space Analysis of Regression Problems
MA Muñoz, T Yan, MR Leal, K Smith-Miles, AC Lorena, GL Pappa, ...
ACM Transactions on Knowledge Discovery from Data 15 (2:28), 25, 2021
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