Dr. Mario Andrés Muñoz

Dr. Mario Andrés Muñoz

Senior Research Fellow at the School of Computing and Information Systems, The University of Melbourne. Black-box optimisation, Instance Space Analysis, Algorithm Selection.

Publications

You can also find my articles on my Google Scholar and Scopus profiles.

Impact factors listed are from the 2024 Journal Citation Reports (JCR, Clarivate, released June 2025) unless otherwise noted. Conference rankings are from CORE 2026 unless otherwise noted.

To download a BibTeX entry, click the [bib] link next to each paper (links to the DOI resolver; use your reference manager to import).

Books

1. E. Caicedo, J.A. López and M.A. Muñoz (2010) Control Inteligente | Intelligent Control. Programa Editorial Universidad del Valle, ISBN:978-958-670-962-0 (In Spanish)

Journal articles

42. C. Simpson, M.A. Muñoz and R.J.G.B. Campello (2026) Instance Space of Clustering Validation Measures. Data Mining and Knowledge Discovery 40:25 (IF 2024: 4.3) [bib]

41. H. Avila-Choconta, L. Ruiz-Acosta, D.A. Camargo-Mayorga and M.A. Muñoz (2026) Modeling sustainability performance in manufacturing companies. Corporate Social Responsibility and Environmental Management (IF 2024: 8.3) [bib]

40. C. Simpson, M.A. Muñoz, S. Kandanaarachchi and R.J.G.B. Campello (2025) ISA3 – A 3-Dimensional Expansion of Instance Space Analysis. Machine Learning, 114:240 (IF 2024: 4.3) [bib]

39. Y.B. Güzel, K. Khare, N. Harvey, K. Dsouza, D.H. Jang, J. Chen, C.Z. Lam and M.A. Muñoz (2025) instancespace: a Python Package for Insightful Algorithm Testing through Instance Space Analysis. SoftwareX, 31:102246 (IF 2024: 2.4) [bib]

38. B. Oldfield, S. Kandanaarachchi, Z. Xu and M.A. Muñoz (2025) An Item Response Theory-based R module for Algorithm Portfolio Analysis. SoftwareX, 31:102239 (IF 2024: 2.4) [bib]

37. P. Sritharan, M.G. King, M.A. Muñoz, J.J. Heerey, M.G. Scholes, B.F. Mentiplay, A.I. Semciw, J.L. Kemp, P. Lawrenson, K.M. Crossley and A.G. Schache (2025) Biomechanical features of a novel step-down-and-pivot task in football players with and without hip/groin pain. Royal Society Open Science, 12:240908 (IF 2024: 2.9) [bib]

36. A. Nikolikj, M.A. Muñoz and T. Eftimov (2025) Performance Footprints of Continuous Black-Box Optimization Algorithms: Explainable Insights into Algorithm Success and Failure. Swarm and Evolutionary Computation, 94:101895 (IF 2024: 8.5) [bib]

35. N. Andrés-Thio, M.A. Muñoz and K. Smith-Miles (2024) Characterising harmful data sources when constructing multi-fidelity surrogate models. Artificial Intelligence, 336:104207 (IF 2024: 4.6) [bib]

34. L. Fang, A.B. Pengwah, L. Andrew, R. Razzaghi and M.A. Muñoz (2024) Three-Phase Voltage Sensitivity Estimation and its Application to Topology Identification. International Journal of Electrical Power and Energy Systems, 158:109949 (IF 2024: 5.2) [bib]

33. N. Andrés-Thio, M.A. Muñoz and K. Smith-Miles (2024) Methodology and challenges of surrogate modelling methods for multi-fidelity expensive black-box problems. The ANZIAM Journal, 66(1)35–61 [bib]

32. J.L.J. Pereira, K. Smith-Miles, M.A. Muñoz and A.C. Lorena (2024) Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation. Data Mining and Knowledge Discovery, 38:461–500 (IF 2024: 4.3) [bib]

31. H. Alipour, M.A. Muñoz and K. Smith-Miles (2024) On the Impact of Initialisation Strategies on Maximum Flow Algorithm Performance. Computers & Operations Research, 163:106492 (IF 2024: 4.6) [bib]

30. H. Alsouly, M. Kirley and M.A. Muñoz (2023) An Instance Space Analysis of Constrained Multi-Objective Optimization Problems. IEEE Transactions on Evolutionary Computation, 27(5)1427–1439 (IF 2024: 12.51) [bib]

29. Neelofar, K. Smith-Miles, M.A. Muñoz and A. Aleti (2023) Instance Space Analysis of Search-Based Software Testing. IEEE Transactions on Software Engineering, 49(4)2642–2660 (IF 2024: 9.3) [bib]

28. K. Smith-Miles and M.A. Muñoz (2023) Instance Space Analysis for Algorithm Testing: Methodology and Software Tools. ACM Computing Surveys, 55(12:255)1–31 (IF 2023: 23.8) [bib]

27. H. Alipour, M.A. Muñoz and K. Smith-Miles (2023) Enhanced Instance Space Analysis for the Maximum Flow Problem. European Journal of Operational Research, 304(2)411–428 (IF 2024: 6.0) [bib]

26. N. Andrés-Thio, M.A. Muñoz and K. Smith-Miles (2022) Bi-fidelity Surrogate Modelling: Showcasing the need for new test instances. INFORMS Journal on Computing, 34(6)3007–3022 (Featured Article, IF 2024: 3.3) [bib]

25. K. Smith-Miles and M.A. Muñoz (2022) Human versus computer construction of mathematical artworks on an order-disorder aesthetic spectrum. Journal of Mathematics and the Arts, 16(4)347–373 [bib]

24. E. Yap, M.A. Muñoz and K. Smith-Miles (2022) Informing multi-objective optimisation benchmark construction through Instance Space Analysis. IEEE Transactions on Evolutionary Computation, 26(6)1246–1260 (IF 2024: 12.51) [bib]

23. M. Becerra-Fernández, L.E. Ruiz-Acosta, D.A. Camargo-Mayorga and M.A. Muñoz (2022) A system dynamics model for sustainable corporate strategic planning. Production, 32:e20220011 (Senior researcher) [bib]

22. P. Sritharan, M.A. Muñoz, P. Pivonka, A.L. Bryant, H. Mokhtarzadeh and L.G. Perraton (2022) Biomechanical markers of forward hop-landing after ACL-reconstruction: a pattern recognition approach. Annals of Biomedical Engineering, 50(3)330–342 (Co-first author, IF 2024: 3.9) [bib]

21. M.A. Muñoz, M. Kirley and K. Smith-Miles (2022) Analyzing randomness effects on the reliability of Landscape Analysis. Natural Computing, 21:131–154 (IF 2024: 1.6) [bib]

20. E. Yap, M.A. Muñoz and K. Smith-Miles (2021) On the diversity and robustness of parameterised multi-objective test suites. Applied Soft Computing, 110:107613 (IF 2024: 7.5) [bib]

19. S. Kandanaarachchi, N. Anantharama and M.A. Muñoz (2021) Early detection of vegetation ignition due to powerline faults. IEEE Transactions on Power Delivery, 36(3)1324–1334 (Senior researcher, IF 2024: 4.8) [bib]

18. K. Smith-Miles, J. Christiansen and M.A. Muñoz (2021) Revisiting Where are the Hard Knapsack Problems? via Instance Space Analysis. Computers & Operations Research, 128:105184 (IF 2024: 4.6) [bib]

17. M.A. Muñoz, T. Yan, M.R. Leal, K. Smith-Miles, A.C. Lorena, G.L. Pappa and R. Madureira Rodrigues (2021) An Instance Space Analysis of Regression Problems. ACM Transactions on Knowledge Discovery from Data, 15(2:28)1–25 (IF 2024: 4.0) [bib]

16. M.A. Muñoz and M. Kirley (2021) Sampling effects on algorithm selection for continuous black-box optimization. Algorithms, 14(1)19 [bib]

15. M.A. Muñoz and K. Smith-Miles (2020) Generating new space-filling test instances for continuous black-box optimization. Evolutionary Computation, 28(3)379–404 (IF 2024: 3.4) [bib]

14. S. Kandanaarachchi, M.A. Muñoz, R.J. Hyndman and K. Smith-Miles (2020) On normalization and algorithm selection for unsupervised outlier detection. Data Mining and Knowledge Discovery, 34:309–354 (IF 2024: 4.3) [bib]

13. P.D. Talagala, R.J. Hyndman, K. Smith-Miles, S. Kandanaarachchi and M.A. Muñoz (2020) Anomaly detection in streaming nonstationary temporal data. Journal of Computational and Graphical Statistics, 29(1)13–27 (IF 2024: 2.0) [bib]

12. M.B. Flegg, M.A. Muñoz, K. Smith-Miles, W.S. Yuen, J. Flegg and J. Carroll (2020) Parameter estimation for a point-source diffusion-decay morphogen model. Journal of Mathematical Biology, 80:2227–2255 (IF 2024: 2.2) [bib]

11. P. Sritharan, L. Perraton, M.A. Muñoz, P. Pivonka and A. Bryant (2020) Muscular coordination of single-leg hop-landing in uninjured and ACL-reconstructed individuals. Journal of Applied Biomechanics, 36(4)235–243 [bib]

10. Y. Yuan, M. Yellishetty, G.M. Mudd, M.A. Muñoz, S.A. Northey and T.T. Werner (2020) Toward dynamic evaluations of materials criticality: A systems framework applied to Platinum. Resources, Conservation & Recycling, 152:104532 (IF 2024: 11.2) [bib]

9. Y. Yuan, M. Yellishetty, M.A. Muñoz and S.A. Northey (2019) Towards a dynamic evaluation of minerals criticality: Introducing the framework of criticality systems. Journal of Industrial Ecology, 23(5)1264–1277 (IF 2024: 5.4) [bib]

8. M.A. Muñoz, L. Villanova, D. Baatar and K. Smith-Miles (2018) Instance spaces for machine learning classification. Machine Learning, 107(1)109–147 (IF 2024: 4.3) [bib]

7. M.A. Muñoz and K.A. Smith-Miles (2017) Performance analysis of continuous black-box optimization algorithms via footprints in instance space. Evolutionary Computation, 25(4)529–554 (IF 2024: 3.4) [bib]

6. M.A. Muñoz, Y. Sun, M. Kirley and S.K. Halgamuge (2015) Algorithm selection for black-box continuous optimization problems: a survey on methods and challenges. Information Sciences, 317:224–245 (IF 2024: 6.8) [bib]

5. M.A. Muñoz, M. Kirley and S.K. Halgamuge (2015) Exploratory Landscape Analysis of Continuous Space Optimization Problems using Information Content. IEEE Transactions on Evolutionary Computation, 19(1)74–87 (IF 2024: 12.51) [bib]

4. H. Mokhtarzadeh, L. Perraton, L. Fok, M.A. Muñoz, R. Clark, P. Pivonka and A.L. Bryant (2014) A comparison of optimization methods and knee joint degrees of freedom on muscle force predictions during single-leg hop landings. Journal of Biomechanics, 47(12)2863–2868 (IF 2024: 2.4) [bib]

3. M.A. Muñoz, J.A. López and E.F. Caicedo (2009) An Artificial Beehive for Continuous Optimization. International Journal of Intelligent Systems, 24(11)1080–1093 [bib]

2. M.A. Muñoz, J.A. López and E.F. Caicedo (2008) Inteligencia de enjambres: sociedades para la solución de problemas (una revisión). Revista Ingeniería e Investigación, 28(2)119–130 (In Spanish) [bib]

1. M.A. Muñoz, J.A. López and E.F. Caicedo (2008) Optimización por Colonia de Hormigas para la Asignación Dinámica de Recursos en una Plataforma de Experimentación de Temperatura Multizona. Revista Ingeniería e Investigación, 28(2)119–130 (In Spanish) [bib]

Conference papers

28. B. Moradi, M.A. Muñoz and M. Kirley (2026) Generalisation of Automated Algorithm Selection in Black-Box Optimisation: The Role of Algorithm Portfolio and Learning Model. EvoAPPS 2026 (CORE 2023: B) (accepted)

27. K. Malan and M.A. Muñoz (2025) Why We Should be Benchmarking Evolutionary Algorithms on Neural Network Training Tasks. GECCO ‘25, pp. 30–38 (CORE 2026: A, Best Paper Nomination) [bib]

26. D. Notice, H. Soleimani, N.G. Pavlidis, A. Kheiri and M.A. Muñoz (2025) Instance Space Analysis of the Capacitated Vehicle Routing Problem with Mixture Discriminant Analysis. GECCO ‘25, pp. 1172–1180 (CORE 2026: A) [bib]

25. A. Nikolikj, M.A. Muñoz, E. Tuba and T. Eftimov (2025) Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes. IEEE CEC 2025 (CORE 2023: B) [bib]

24. H. Alsouly, M. Kirley and M.A. Muñoz (2024) Online Per-Instance Algorithm Selection for Constrained Multi-Objective Optimization Problems. GECCO ‘24 Companion, pp. 559–562 (CORE 2026: A) [bib]

23. A. Rasulo, K. Smith-Miles, M.A. Muñoz, J. Handl and M. López-Ibañez (2024) Extending Instance Space Analysis to Algorithm Configuration Spaces. GECCO ‘24 Companion, pp. 147–150 (CORE 2026: A) [bib]

22. B. Moradi, M. Kirley and M.A. Muñoz (2024) Sensitivity Analysis of Surrogate-assisted Bilevel Optimisation. GECCO ‘24 Companion, pp. 411–414 (CORE 2026: A) [bib]

21. M. Gallagher and M.A. Muñoz (2024) Towards an Improved Understanding of Features for More Interpretable Landscape Analysis. GECCO ‘24 Companion, pp. 135–138 (CORE 2026: A) [bib]

20. H. Alsouly, M. Kirley and M.A. Muñoz (2023) Dynamic Landscape Analysis for Constrained Multiobjective Optimization Problems. AI ‘23, pp. 429–441 [bib]

19. A. Nikolikj, S. Dzeroski, M.A. Muñoz, C. Doerr, P. Korosec and T. Eftimov (2023) Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. GECCO ‘23, pp. 529–537 (CORE 2026: A) [bib]

18. M.A. Muñoz (2022) Examining Algorithm Behavior using Recurrence Quantification and Landscape Analyses. GECCO ‘22 Companion, pp. 1658–1665 (CORE 2026: A) [bib]

17. M.A. Muñoz, H. Soleimani and S. Kandanaarachchi (2022) Benchmarking Algorithm Portfolio Construction Methods. GECCO ‘22 Companion, pp. 499–502 (CORE 2026: A) [bib]

16. D.X. Ramos, J.A. Jiménez Toledo, A. Muñoz del Castillo, L.C. Acosta Huertas, E. Herrera and M.A. Muñoz (2020) Computational Thinking for Teacher Training: A Systematic Review of Literature. LACCEI 2020 (In Spanish) [bib]

15. E. Yap, M.A. Muñoz, K. Smith-Miles and A. Liefooghe (2020) Instance Space Analysis of Combinatorial Multi-objective Optimization Problems. IEEE CEC 2020 (CORE 2023: B) [bib]

14. S. Kandanaarachchi, M.A. Muñoz and K. Smith-Miles (2019) Instance space analysis for unsupervised outlier detection. EDML @ SDM 2019, pp. 32–41

13. A. Muñoz del Castillo, M.A. Muñoz, L.C. Acosta Huertas, E. Herrera, J.A. Jiménez Toledo and D.X. Ramos (2019) Developing a teacher training curriculum including Computational Thinking skills. LACLO 2019, pp. 8–11 [bib]

12. M.A. Muñoz and K.A. Smith-Miles (2017) Generating custom classification datasets by targeting the instance space. GECCO ‘17 Companion, pp. 1582–1588 (CORE 2026: A) [bib]

11. M.A. Muñoz and K.A. Smith-Miles (2017) Non-parametric model of the space of continuous black-box optimization problems. GECCO ‘17 Companion, pp. 175–176 (CORE 2026: A) [bib]

10. M.A. Muñoz and M. Kirley (2016) ICARUS: Identification of Complementary algoRithms by Uncovered Sets. IEEE CEC 2016, pp. 2427–2432 (CORE 2023: B) [bib]

9. M.A. Muñoz, M. Kirley and S.K. Halgamuge (2015) Effects of function translation and dimensionality reduction on landscape analysis. IEEE CEC 2015, pp. 1336–1342 (CORE 2023: B) [bib]

8. Y. Sun, M. Kirley, S.K. Halgamuge and M.A. Muñoz (2014) On the selection of fitness landscape analysis metrics for continuous optimization problems. ICIAFS 2014 [bib]

7. M.A. Muñoz, M. Kirley and S.K. Halgamuge (2012) A Meta-Learning prediction model of algorithm performance for continuous optimization problems. PPSN XII, LNCS v. 7491, pp. 226–235 (CORE 2026: A) [bib]

6. M.A. Muñoz, M. Kirley and S.K. Halgamuge (2012) Landscape characterization of numerical optimization problems using biased scattered data. IEEE CEC 2012, pp. 2162–2169 (CORE 2023: B) [bib]

5. M.A. Muñoz, S.K. Halgamuge, W. Alfonso and E.F. Caicedo (2010) Simplifying the Bacteria Foraging Algorithm. IEEE CEC 2010, pp. 4095–4101 (CORE 2023: B) [bib]

4. M.A. Muñoz, J.A. López and E.F. Caicedo (2008) Self-Adaptive Bacteria Swarm for Optimization. CERMA ‘08, pp. 45–49 [bib]

3. M.A. Muñoz, J.A. López and E.F. Caicedo (2007) Bacteria Swarm Foraging Optimization for Dynamical Resource Allocation. IFSA 2007, Advances in Soft Computing, v. 41, pp. 427–435 [bib]

2. M.A. Muñoz, J.A. López and E.F. Caicedo (2006) Ant Colony Optimization for Dynamical Resource Allocation in a Multizone Temperature Experimentation Platform. CERMA ‘06, pp. 137–142 [bib]

1. M.A. Muñoz, J.A. López and E.F. Caicedo (2005) Implementation of a Distributed Control Experimentation Platform. ICIECA 2005 [bib]

Work under review