Andres Munoz Acosta

Toward dynamic evaluations of materials criticality: A systems framework applied to platinum

Ye Yuan, Mohan Yellishetty, Gavin M Mudd, Mario A Munoz, Stephen A Northey, Tim T Werner

Journal article  |  2020  |  Resources, Conservation and Recycling

On normalization and algorithm selection for unsupervised outlier detection

Sevvandi Kandanaarachchi, Mario A Munoz, Rob J Hyndman, Kate Smith-Miles

Journal article  |  2019  |  Data Mining and Knowledge Discovery

Toward a dynamic evaluation of mineral criticality: Introducing the framework of criticality systems

Ye Yuan, Mohan Yellishetty, Mario A Munoz, Stephen A Northey

Journal article  |  2019  |  Journal of Industrial Ecology

Generating New Space-Filling Test Instances for Continuous Black-Box Optimization.

Mario A Muñoz, Kate Smith-Miles

Journal article  |  2019  |  Evolutionary Computation

This paper presents a method to generate diverse and challenging new test instances for continuous black-box optimization. Each in..

Anomaly Detection in Streaming Nonstationary Temporal Data

Priyanga Dilini Talagala, Rob J Hyndman, Kate Smith-Miles, Sevvandi Kandanaarachchi, Mario A Munoz

Journal article  |  2019  |  Journal of Computational and Graphical Statistics

Instance spaces for machine learning classification

Mario A Munoz, Laura Villanova, Davaatseren Baatar, Kate Smith-Miles

Journal article  |  2018  |  Machine Learning

Performance Analysis of Continuous Black-Box Optimization Algorithms via Footprints in Instance Space

Mario A Munoz, Kate A Smith-Miles

Journal article  |  2017  |  Evolutionary Computation

Generating custom classification datasets by targeting the instance space

MA Muñoz, K Smith-Miles

Conference Proceedings  |  2017  |  Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '17

Non-parametric model of the space of continuous black-box optimization problems

Mario A Muñoz, Kate Smith-Miles

Conference Proceedings  |  2017  |  Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '17

ICARUS: Identification of Complementary algoRithms by Uncovered Sets

Mario A Munoz, Michael Kirley

Conference Proceedings  |  2016  |  2016 IEEE Congress on Evolutionary Computation (CEC)

Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges

Mario A Munoz, Yuan Sun, Michael Kirley, Saman K Halgamuge

Journal article  |  2015  |  Information Sciences

Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content

Mario A Munoz, Michael Kirley, Saman K Halgamuge

Journal article  |  2015  |  IEEE Transactions on Evolutionary Computation

Effects of function translation and dimensionality reduction on landscape analysis

Mario A Munoz, Kate Smith-Miles

Conference Proceedings  |  2015  |  2015 IEEE Congress on Evolutionary Computation (CEC)

On the Selection of Fitness Landscape Analysis Metrics for Continuous Optimization Problems

Yuan Sun, Saman K Halgamuge, Michael Kirley, Mario A Munoz

Conference Proceedings  |  2014  |  Information and Automation for Sustainability (ICIAfS), 2014 7th International Conference on

A comparison of optimisation methods and knee joint degrees of freedom on muscle force predictions during single-leg hop landings

H Mokhtarzadeh, L PERRATON, L Fok, M MUNOZ ACOSTA, R Clark, P Pivonka, AL Bryant

Journal article  |  2014  |  Journal of Biomechanics

The aim of this paper was to compare the effect of different optimisation methods and different knee joint degrees of freedom (DOF..

The algorithm selection problem on the continuous optimization domain

MA Muñoz, M Kirley, SK Halgamuge

Book Chapter  |  2013  |  Studies in Computational Intelligence

A meta-learning prediction model of algorithm performance for continuous optimization problems

MA Muñoz, M Kirley, SK Halgamuge

Conference Proceedings  |  2012  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Landscape Characterization of Numerical Optimization Problems Using Biased Scattered Data

Mario A Munoz, Michael Kirley, Saman K Halgamuge

Conference Proceedings  |  2012  |  Proceedings of WCCI 2012 IEEE World Congress on Computational Intelligence

Simplifying the Bacteria Foraging Optimization Algorithm

Mario A Munoz, Saman K Halgamuge, Wilfredo Alfonso, Eduardo F Caicedo

Conference Proceedings  |  2010  |  Proceedings of the IEEE Congress on Evolutionary Computation 2010

An Artificial Beehive Algorithm for Continuous Optimization

Mario A Munoz, Jesus A Lopez, Eduardo Caicedo

Journal article  |  2009  |  International Journal of Intelligent Systems

Swarm intelligence: problem-solving societies (a review)

Mario A Munoz, Jesus A Lopez, Eduardo F Caicedo

Journal article  |  2008  |  INGENIERIA E INVESTIGACION

Seff-Adaptive Bacteria Swarm for Optimization

Mario A Munoz, Jesus A Lopez, Eduardo F Caicedo

Conference Proceedings  |  2008  |  2008 Electronics, Robotics and Automotive Mechanics Conference

Ant colony optimization for dynamical resource allocation in a multizone temperature experimentation platform

MA Muñoz, JA López, EF Caicedo

Conference Proceedings  |  2007  |  IEEE Latin America Transactions

Bacteria swarm foraging optimization for dynamical resource allocation in a multizone temperature experimentation platform

Mario A Munoz, Jesus A Lopez, Eduardo Caicedo

Journal article  |  2007  |  Advances in Soft Computing

Ant colony optimization for dynamical resource allocation in a multizone temperature experimentation platform

Mario A Munoz, Jesus A Lopez, Eduardo Caicedo

Conference Proceedings  |  2006  |  Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)

Implementation of a distributed control experimentation platform

MA Muñoz, JA López, EF Caicedo

Conference Proceedings  |  2005  |  2005 International Conference on Industrial Electronics and Control Applications