Publications

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  • K. Smith-Miles, J Christiansen, MA Muñoz, M. Munoz Acosta. Revisiting where are the hard knapsack problems? via Instance Space Analysis. Computers and Operations Research, 128, 105184 (18pp), 2021. doi: 10.1016/j.cor.2020.105184.

  • MA Muñoz, M Kirley, M. Munoz Acosta. Sampling effects on algorithm selection for continuous black-box optimization. Algorithms, 14, 19 (20pp), 2021. doi: 10.3390/a14010019.

  • Mario Andrés Muñoz, Tao Yan, Matheus R Leal, K. Smith-Miles, Ana Carolina Lorena, Gisele L Pappa, Rômulo Madureira Rodrigues, M. Munoz Acosta. An Instance Space Analysis of Regression Problems. ACM Transactions on Knowledge Discovery from Data, 15, 1-25, 2021. doi: 10.1145/3436893.

  • Sevvandi Kandanaarachchi, Nandini Anantharama, Mario A Munoz, Mario A Muoz, M. Munoz Acosta. Early Detection of Vegetation Ignition Due to Powerline Faults. IEEE Transactions on Power Delivery, 36, 1324-1334, 2021. doi: 10.1109/tpwrd.2020.3006553.

  • Ye Yuan, Mohan Yellishetty, Gavin M Mudd, Mario A Munoz, Stephen A Northey, Tim T Werner, MA Muñoz, M. Munoz Acosta. Toward dynamic evaluations of materials criticality: A systems framework applied to platinum. Resources, Conservation and Recycling, 152, 104532 (13pp), 2020. doi: 10.1016/j.resconrec.2019.104532.

  • Mark B Flegg, Mario A Munoz, K. Smith-Miles, Wai Shan Yuen, John G Carroll, Mario A Muñoz, M. Munoz Acosta. Parameter estimation for a point-source diffusion-decay morphogen model.. Journal of mathematical biology, 2227-2255, 2020. doi: 10.1007/s00285-020-01494-x.

  • Prasanna Sritharan, Luke G Perraton, Mario A Munoz, Peter Pivonka, Adam L Bryant, M. Munoz Acosta. Muscular Coordination of Single-Leg Hop Landing in Uninjured and Anterior Cruciate Ligament-Reconstructed Individuals.. Journal of applied biomechanics, 36, 235-243, 2020. doi: 10.1123/jab.2019-0021.

  • P Sritharan, LG Perraton, MA Munoz, P Pivonka, AL Bryant, Robert J Gregor, M. Munoz Acosta. Muscular coordination of single-leg hop landing in uninjured and anterior cruciate ligament-reconstructed individuals. Journal of Applied Biomechanics, 36, 235-243, 2020. doi: 10.1123/JAB.2020-0150.

  • E Yap, MA Munoz, K. Smith-Miles, A Liefooghe, M. Munoz Acosta. Instance Space Analysis of Combinatorial Multi-objective Optimization Problems. 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings, 1-8, 2020. doi: 10.1109/CEC48606.2020.9185664.

  • DX Ramos, JA Jiménez, AM del Castillo, LC Acosta, MA Muñoz, E Herrera, Lydia Cruz, M. Munoz Acosta. Pensamiento Computacional para la formación de maestros: Una revisión sistemática de literatura. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, 2020. doi: 10.18687/LACCEI2020.1.1.135.

  • Y Yuan, M Yellishetty, MA Muñoz, SA Northey, M. Munoz Acosta. Toward a dynamic evaluation of mineral criticality: Introducing the framework of criticality systems. Journal of Industrial Ecology, 1264-1277, 2019. doi: 10.1111/jiec.12920.

  • Mario A Muñoz, K. Smith-Miles, M. Munoz Acosta. Generating New Space-Filling Test Instances for Continuous Black-Box Optimization.. Evolutionary computation, 379-404, 2019. doi: 10.1162/evco_a_00262.

  • Priyanga Dilini Talagala, Rob J Hyndman, K. Smith-Miles, Sevvandi Kandanaarachchi, Mario A Munoz, MA Muñoz, M. Munoz Acosta. Anomaly Detection in Streaming Nonstationary Temporal Data. Journal of Computational and Graphical Statistics, 13-27, 2019. doi: 10.1080/10618600.2019.1617160.

  • S Kandanaarachchi, MA Muñoz, RJ Hyndman, K. Smith-Miles, M. Munoz Acosta. On normalization and algorithm selection for unsupervised outlier detection. Data Mining and Knowledge Discovery, 309-354, 2019. doi: 10.1007/s10618-019-00661-z.

  • A Muñoz Del Castillo, MA Muñoz, LC Acosta Huertas, E Herrera, J Jimenez Toledo, DX Ramos, Armando Munoz del Castillo, Mario A Munoz, M. Munoz Acosta. Developing a teacher training curriculum including computational thinking skills: Early advances on a study focused on Colombia. Proceedings - 14th Latin American Conference on Learning Technologies, LACLO 2019, 8-11, 2019. doi: 10.1109/LACLO49268.2019.00012.

  • S Kandanaarachchi, MA Muñoz, K. Smith-Miles, M. Munoz Acosta. Instance space analysis for unsupervised outlier detection. CEUR Workshop Proceedings, 2436, 2019.

  • Mario A Muñoz, K. Smith-Miles, M. Munoz Acosta. Non-parametric model of the space of continuous black-box optimization problems. Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '17, 2017. doi: 10.1145/3067695.3075971.

  • Mario A Munoz, Michael Kirley, M. Munoz Acosta. ICARUS: Identification of complementary algorithms by uncovered sets. 2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2427-2432, 2016. doi: 10.1109/CEC.2016.7744089.

  • Mario A Munoz, Michael Kirley, Saman K Halgamuge, MA Muñoz, M. Munoz Acosta. Exploratory landscape analysis of continuous space optimization problems using information content. IEEE Transactions on Evolutionary Computation, 19, 74-87, 2015. doi: 10.1109/TEVC.2014.2302006.

  • Mario A Munoz, Yuan Sun, Michael Kirley, Saman K Halgamuge, MA Muñoz, M. Munoz Acosta. Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges. Information Sciences, 317, 224-245, 2015. doi: 10.1016/j.ins.2015.05.010.

  • H Mokhtarzadeh, L PERRATON, L Fok, M. Munoz Acosta, R Clark, P Pivonka, AL Bryant, Mario A Munoz, Mario A Muñoz. A comparison of optimisation methods and knee joint degrees of freedom on muscle force predictions during single-leg hop landings.. Journal of biomechanics, 47, 2863-2868, 2014. doi: 10.1016/j.jbiomech.2014.07.027.

  • Yuan Sun, Saman K Halgamuge, Michael Kirley, Mario A Munoz, MA Muñoz, M. Munoz Acosta. On the selection of fitness landscape analysis metrics for continuous optimization problems. Information and Automation for Sustainability (ICIAfS), 2014 7th International Conference on, 1-6, 2014. doi: 10.1109/ICIAFS.2014.7069635.

  • MA Muñoz, M Kirley, SK Halgamuge, M. Munoz Acosta. The algorithm selection problem on the continuous optimization domain. 445, 75-89, Springer Berlin Heidelberg, 2013. doi: 10.1007/978-3-642-32378-2_6.

  • MA Muñoz, M Kirley, SK Halgamuge, M. Munoz Acosta. A meta-learning prediction model of algorithm performance for continuous optimization problems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7491 LNCS, 226-235, 2012. doi: 10.1007/978-3-642-32937-1_23.

  • Mario A Munoz, Michael Kirley, Saman K Halgamuge, MA Muñoz, M. Munoz Acosta. Landscape characterization of numerical optimization problems using biased scattered data. Proceedings of WCCI 2012 IEEE World Congress on Computational Intelligence, 2012. doi: 10.1109/CEC.2012.6256490.

  • M. Munoz Acosta, MG Kirley, SK Halgamuge. Algorithm Selection Problem on the Continuous Optimization Domain. 75-89, Springer Verlag, 2012.

  • Mario A Munoz, Saman K Halgamuge, Wilfredo Alfonso, Eduardo F Caicedo, MA Muñoz, M. Munoz Acosta. Simplifying the bacteria foraging optimization algorithm. Proceedings of the IEEE Congress on Evolutionary Computation 2010, 7pp (7pp), 2010. doi: 10.1109/CEC.2010.5586025.

  • Mario A Munoz, Jesus A Lopez, Eduardo Caicedo, MA Muñoz, JA López, M. Munoz Acosta. An artificial beehive algorithm for continuous optimization. International Journal of Intelligent Systems, 24, 1080-1093, 2009. doi: 10.1002/int.20376.

  • Mario A Munoz, Jesus A Lopez, Eduardo F Caicedo, MA Muñoz, JA López, MA Muoz, M. Munoz Acosta. Self–Adaptive Bacteria Swarm for Optimization. Proceedings - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2008, 45-49, 2008. doi: 10.1109/CERMA.2008.97.

  • MA Muñoz, JA López, EF Caicedo, Mario A Munoz, Jesus A Lopez, M. Munoz Acosta. Ant colony optimization for dynamical resource allocation in a multizone temperature experimentation platform. IEEE Latin America Transactions, 5, 82-87, 2007. doi: 10.1109/TLA.2007.4381347.

  • Mario A Munoz, Jesus A Lopez, Eduardo Caicedo, MA Muñoz, JA López, M. Munoz Acosta. Bacteria swarm foraging optimization for dynamical resource allocation in a multizone temperature experimentation platform. Advances in Soft Computing, 41, 427-+, 2007. doi: 10.1007/978-3-540-72432-2_43.

  • Mario A Munoz, Jesus A Lopez, Eduardo Caicedo, MA Muñoz, JA López, M. Munoz Acosta. Ant colony optimization for dynamical resource allocation in a multizone temperature experimentation platform. Proceedings - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2006, 1, 137-+, 2006. doi: 10.1109/CERMA.2006.18.

  • MA Muñoz, JA López, EF Caicedo, MA Munoz, JA Lopez, M. Munoz Acosta. Implementation of a distributed control experimentation platform. ICIECA 2005: International Conference on Industrial Electronics and Control Applications 2005, 2005, 2005. doi: 10.1109/ICIECA.2005.1644379.