Mario Andrés Muñoz

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Kate Smith-MilesProfessor of Applied Mathematics, The University of MelbourneVerified email at unimelb.edu.au
Michael KirleyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
eduardo francisco caicedo bravoVerified email at correounivalle.edu.co
Jesus Alfonso LopezFull time Professor , Universidad Autonoma de OccidenteVerified email at uao.edu.co
Saman K. HalgamugeFIEEE, FIET, Professor, AI, Optimization and Pattern Recognition lab, Department of Mechanical Eng.Verified email at unimelb.edu.au
Sevvandi KandanaarachchiCSIRO's Data61Verified email at data61.csiro.au
Laura VillanovaGraz University of Technology, AusriaVerified email at tugraz.at
Yuan SunLa Trobe UniversityVerified email at latrobe.edu.au
Rob J HyndmanProfessor of Statistics, Monash UniversityVerified email at monash.edu
Peter PivonkaQueensland University of Technology, School of Mechanical, Medical and Process EngineeringVerified email at qut.edu.au
Luke PerratonLecturer, Monash University PhysiotherapyVerified email at monash.edu
Hossein MokhtarzadehThe University of MelbourneVerified email at unimelb.edu.au
Wilfredo Alfonso-MoralesProfessor of Electronics Engineering, Universidad del ValleVerified email at correounivalle.edu.co
Stephen NortheyInstitute for Sustainable Futures, University of Technology SydneyVerified email at uts.edu.au
Mohan YellishettyMonash UniversityVerified email at monash.edu
Ross ClarkAssociate Professor, University of the Sunshine CoastVerified email at usc.edu.au
Priyanga Dilini TalagalaPhD in Statistics, Monash University, Australia, Senior Lecturer, University of MoratuwaVerified email at uom.lk
Javier Alejandro Jimenez ToledoUniversidad CESMAGVerified email at iucesmag.edu.co
Estefania YapUniversity of MelbourneVerified email at unimelb.edu.au
Ana Carolina LorenaInstituto Tecnológico de AeronáuticaVerified email at ita.br

Mario Andrés Muñoz

Other namesMario A. Muñoz

Research Fellow, ARC Centre in Optimisation Technologies, Integrated Methodologies and Applications

Verified email at unimelb.edu.au

Complexity Science Data Science Evolutionary Computation Machine Learning Optimization


Title Sort by citations Sort by year Sort by 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	208	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	148	2015
Instance Spaces for Machine Learning Classification MA Muñoz, L Villanova, D Baatar, K Smith-Miles Machine Learning 107 (1), 109–147, 2018	144	2018
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	74	2012
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	68	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	60	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	59	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	58	2020
Simplifying the bacteria foraging optimization algorithm MA Munoz, SK Halgamuge, W Alfonso, EF Caicedo 2010 IEEE Congress on Evolutionary Computation, 1-7, 2010	43	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	39	2013
Generating New Space-Filling Test Instances for Continuous Black-Box Optimization MA Muñoz, KA Smith-Miles Evolutionary Computation 28 (3), 379-404, 2020	36	2020
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	28	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	24	2012
An artificial beehive algorithm for continuous optimization MA Munoz, JA López, E Caicedo International Journal of Intelligent Systems 24 (11), 1080-1093, 2009	24*	2009
Revisiting "Where are the Hard Knapsack Problems?" via Instance Space Analysis K Smith-Miles, J Christiansen, MA Muñoz Computers & Operations Research 128, 105184, 2021	18	2021
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	17	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	17	2020
Effects of function translation and dimensionality reduction on landscape analysis MA Munoz, K Smith-Miles 2015 IEEE Congress on Evolutionary Computation, 2015	17	2015
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	16	2007

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