Mario A. Muñoz

19 papers B 5Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2024 — conf
Extending Instance Space Analysis to Algorithm Configuration Spaces.
GECCO Companion
Anthony Rasulo, Kate Smith-Miles, Mario A. Muñoz, Julia Handl, Manuel López-Ibáñez
2024 — conf
Towards an Improved Understanding of Features for More Interpretable Landscape Analysis.
GECCO Companion
Marcus Gallagher, Mario A. Muñoz
2020 J jnl
Generating New Space-Filling Test Instances for Continuous Black-Box Optimization.
Evol. Comput.
Mario A. Muñoz, Kate Smith-Miles
2020 B conf
Instance Space Analysis of Combinatorial Multi-objective Optimization Problems.
CEC
Estefania Yap, Mario A. Muñoz, Kate Smith-Miles, Arnaud Liefooghe
2020 J jnl
On normalization and algorithm selection for unsupervised outlier detection.
Data Min. Knowl. Discov.
Sevvandi Kandanaarachchi, Mario A. Muñoz, Rob J. Hyndman, Kate Smith-Miles
2019 — conf
Instance Space Analysis for Unsupervised Outlier Detection.
EDML@SDM
Sevvandi Kandanaarachchi, Mario A. Muñoz, Kate Smith-Miles
2018 J jnl
Instance spaces for machine learning classification.
Mach. Learn.
Mario A. Muñoz, Laura Villanova, Davaatseren Baatar, Kate Smith-Miles
2017 — conf
Generating custom classification datasets by targeting the instance space.
GECCO (Companion)
Mario A. Muñoz, Kate Smith-Miles
2017 — conf
Non-parametric model of the space of continuous black-box optimization problems.
GECCO (Companion)
Mario A. Muñoz, Kate Smith-Miles
2017 J jnl
Performance Analysis of Continuous Black-Box Optimization Algorithms via Footprints in Instance Space.
Evol. Comput.
Mario A. Muñoz, Kate Amanda Smith-Miles
2016 B conf
ICARUS: Identification of complementary algorithms by uncovered sets.
CEC
Mario A. Muñoz, Michael Kirley
2015 J jnl
Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges.
Inf. Sci.
Mario A. Muñoz, Yuan Sun, Michael Kirley, Saman K. Halgamuge
2015 B conf
Effects of function translation and dimensionality reduction on landscape analysis.
CEC
Mario A. Muñoz, Kate Smith-Miles
2015 J jnl
Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content.
IEEE Trans. Evol. Comput.
Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge
2012 — conf
A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems.
PPSN (1)
Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge
2012 B conf
Landscape characterization of numerical optimization problems using biased scattered data.
IEEE Congress on Evolutionary Computation
Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge
2010 B conf
Simplifying the Bacteria Foraging Optimization Algorithm.
IEEE Congress on Evolutionary Computation
Mario A. Muñoz, Saman K. Halgamuge, Wilfredo Alfonso, Eduardo Caicedo
2009 J jnl
An artificial beehive algorithm for continuous optimization.
Int. J. Intell. Syst.
Mario A. Muñoz, Jesús A. López, Eduardo Caicedo
2007 — ch.
Bacteria Swarm Foraging Optimization for Dynamical Resource Allocation in a Multizone Temperature Experimentation Platform.
Analysis and Design of Intelligent Systems using Soft Computing Techniques
Mario A. Muñoz, Jesús A. López, Eduardo Caicedo