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Mario Andrés Muñoz
Mario Andrés Muñoz
Other namesMario A. 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
2242015
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
1602015
Instance Spaces for Machine Learning Classification
MA Muñoz, L Villanova, D Baatar, K Smith-Miles
Machine Learning 107 (1), 109–147, 2018
1532018
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
77*2008
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
762012
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
732017
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
632014
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
622020
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
612020
Generating New Space-Filling Test Instances for Continuous Black-Box Optimization
MA Muñoz, KA Smith-Miles
Evolutionary Computation 28 (3), 379-404, 2020
442020
Simplifying the bacteria foraging optimization algorithm
MA Munoz, SK Halgamuge, W Alfonso, EF Caicedo
2010 IEEE Congress on Evolutionary Computation, 1-7, 2010
432010
The algorithm selection problem on the continuous optimization domain
MA Munoz, M Kirley, SK Halgamuge
Computational intelligence in intelligent data analysis, 75-89, 2013
402013
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
292014
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
262012
An artificial beehive algorithm for continuous optimization
MA Munoz, JA López, E Caicedo
International Journal of Intelligent Systems 24 (11), 1080-1093, 2009
25*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
222021
Revisiting "Where are the Hard Knapsack Problems?" via Instance Space Analysis
K Smith-Miles, J Christiansen, MA Muñoz
Computers & Operations Research 128, 105184, 2021
192021
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
192020
Effects of function translation and dimensionality reduction on landscape analysis
MA Munoz, K Smith-Miles
2015 IEEE Congress on Evolutionary Computation, 2015
172015
Instance Space Analysis for Algorithm Testing: Methodology and Software Tools
K Smith-Miles, MA Muñoz
ACM Computing Surveys 55 (12:255), 1-31, 2023
162023
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