Elizabeth Montero Ureta

Grado
  • Mayo, 2011, Doctor en Informática, Universidad de Nice, Sophia-Antipolis, Francia.
  • Mayo, 2007, Magíster en Ciencias de la Ingeniería Informática, Universidad Técnica Federico Santa María, Valparaíso, Chile.
Líneas de Investigación e intereses
  • Algoritmos metaheurísticos, Problemas de optimización (combinatoria), Asignación de parámetros en algoritmos metaheurísticos, Optimización (combinatoria) multi-objetivo, Inteligencia artificial en videojuegos.
Asignaturas que dicta en pregrado
  • Sistemas inteligentes, Ingeniería civil informática.
  • Algoritmos y estructuras de datos, Ingeniería civil informática.
  • Fundamentos de programación, Ingeniería civil informática.
  • Proyecto de título I, Ingeniería civil informática.
  • Proyecto de título II, Ingeniería civil informática.
Asignaturas que dicta en postgrado
  • Inteligencia artificial avanzada, Magíster en Ciencias de la Computación.
  • Algoritmos multiobjetivo, Magíster en Ciencias de la Computación.
  • Proyecto de tesis I, Magíster en Ciencias de la Computación.
  • Proyecto de tesis II, Magíster en Ciencias de la Computación.
  • Elizabeth Montero & María-Cristina Riff. Effective Collaborative Strategies to Setup Tuners, Journal Soft Computing, ISI WoS, 24, 5019-5041, 2020, 10.1007/s00500-019-04252-4.
  • Jorge Ardila-Rey, Elizabeth Montero & Nicolás Medina Poblete. Application of Meta-Heuristic Approaches in the Spectral Power Clustering Technique (SPCT) to Improve the Separation of Partial Discharge and Electrical Noise Sources, Journal IEEE Access, ISI WoS, 7, 110580-110593, 2019, IEEE, 10.1109/ACCESS.2019.2934388.
  • Adriana Menchaca-Mendez, Elizabeth Montero, Luis Miguel Antonio, Saúl Zapotecas-Martínez, Carlos A. Coello Coello & María-Cristina Riff. A Co-evolutionary
  • Scheme for Multi-Objective Evolutionary Algorithms based on e-dominance, Journal IEEE Access, ISI WoS, 7, 18267-18283, 2019, IEEE, 10.1109/ACCESS.2019.2896962.
  • Adriana Menchaca-Méndez, Elizabeth Montero & Saúl Zapotecas-Martínez. An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm with Adaptive Resource
  • Allocation, Journal IEEE Access, ISI WoS, 6, 63382-63401, 2018, IEEE, 10.1109/ACCESS.2018.2877402.
  • Elizabeth Montero, María-Cristina Riff & Nicolás Rojas-Morales. Tuners review: How crucial are set-up values to find effective parameter values?, Journal of Engineering Applications of Artificial Intelligence, ISI WoS, 76, 108-118, 2018, Elsevier, 10.1016/j.engappai.2018.09.001.
  • Nicolás Rojas-Morales, María-Cristina Riff & Elizabeth Montero. A survey and classification of Opposition-Based Metaheuristics, Journal of Computers & Industrial Engineering, ISI WoS, 110, 424-435, 2017, Elsevier, 10.1016/j.cie.2017.06.028.
  • Elizabeth Montero, María-Cristina Riff & Bertrand Neveu. A Beginner’s Guide to Tuning Methods, Journal of Applied Soft Computing, ISI WoS, 17, 39-51, 2014, Elsevier,10.1016/j.asoc.2013.12.017.
  • Elizabeth Montero, María-Cristina Riff & Bertrand Neveu.Reducing Calibration Effort for Clonal Selection based Algorithms: A Reinforcement Learning Approach, Journal of Knowledge-Based Systems, ISI WoS, 41, 54-67, 2013, Elsevier, 10.1016/j.knosys.2012.12.009.
  • Elizabeth Montero & María-Cristina Riff. On-the-fly Calibrating Strategies for Evolutionary Algorithms, Journal of Information Sciences, ISI WoS, 181 (3), 552-566, 2011, Elsevier, 10.1016/j.ins.2010.09.016.
  • María-Cristina Riff, Marcos Zúñiga & Elizabeth Montero.A Graph-Based Immune-Inspired Constraint Satisfaction Search, Journal of Neural Computing and Applications
  • Special Issue on Artificial Immune Systems: Theory and Applications, ISI WoS, 19(8), 1133-1142, 2010, Springer, 10.1007/s00521-010-0390-8.
  • Elizabeth Montero, María-Cristina Riff & Bertrand Neveu.C-strategy: A Dynamic Adaptive Strategy for the CLONALG Algorithm, Journal of Transactions on Computational Science VIII, volume 6260, 41-55, 2010, Springer, 10.1007/978-3-642-16236-7_3.
  • Germán Treimun-Costa, Elizabeth Montero, Gabriela Ochoa and Nicolás Rojas-Morales. Modelling Parameter Configuration Spaces with Local Optima Networks, Pro-ceedings of the Genetic and Evolutionary Computation Conference (GECCO 2020), ACM, 751-759, Cancún, Mexico, 10.1145/3377930.3390199
  • Jorge Villagrán, Elizabeth Montero and Germán Paredes-Belmar. An Iterated Local Search Approach to Solve the Milk Collection Problem With Blending, Proceedings of the IEEE World Congress on Computational Intelligence (WCCI 2020), IEEE, Glasgow, United Kingdom, 10.1109/CEC48606.2020.9185888.
  • Carola Blazquez & Elizabeth Montero. Spatial and aspatial clustering analysis of PM2.5 concentrations in Temuco, Chile using mobile measurements, 18th LACCEI International Multi-Conference for Engineering, Education, and Technology (LACCEI 2020), Buenos Aires, Argentina.
  • José-manuel Urtasun and Elizabeth Montero. An Study of Operator Design under an Adaptive approach for solving the Cross-docks Vehicle Routing Problem, Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2019), IEEE, 2099-2106, Wellington, New Zealand, 10.1109/CEC.2019.8790019.
  • Elizabeth Montero, Dario Canales, Germán Paredes-Belmar and Raúl Soto. A Prize Collecting problem applied to a Real Milk Collection problem in Chile, Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2019), IEEE, 1416-1423, Wellington, New Zealand, 10.1109/CEC.2019.8789999.
  • Javier Maldonado, María-Cristina Riff and Elizabeth Montero. Improving Attack Detection of C4.5 using an Evolutionary Algorithm, Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2019), IEEE, 2222-2228, Wellington, New Zealand, 10.1109/CEC.2019.8790199.
  • Nicolás Rojas-Morales, María-Cristina Riff, Carlos A. Coello Coello & Elizabeth Montero. A Cooperative Opposite-Inspired Learning Strategy for Ant-Based Algorithms, Swarm Intelligence (ANTS 2018), 317-324, LNCS 11172, Rome, Italy, 10.1007/978-3-030-00533-7_25.
  • Elizabeth Montero & Saúl Zapotecas. An Analysis of Parameters of Decomposition-based MOEAs on Many-Objective Optimization, Proceedings of the IEEE World Congress on Computational Intelligence (WCCI 2018), IEEE, Rio de Janeiro, Brazil, 10.1109/CEC.2018.8477648.
  • Elizabeth Montero, Nicolás Medina & Jorge Ardila-Rey. An Evaluation of Meta-heuristic approaches for improving the separation of multiple Partial Discharge Sources and Electrical Noise, IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2017), IEEE, 1166-1173, Boston, USA, 10.1109/ICTAI.2017.00178.
  • Andrea Figueroa, Elizabeth Montero & María-Cristina Riff.An Effective Simulated Annealing for Off-line Robot Motion Planning, IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2017), IEEE, 967-971, Boston, USA, 10.1109/ICTAI.2017.00148.
  • Alondra Rojas, Elizabeth Montero & María-Cristina Riff. G-DMP: An algorithm without Constraint Relaxation to solve the Train Departure Matching Problem, IEEE Congress on Evolutionary Computation (CEC 2017), IEEE, 2382-2389, San Sebastián, España, 10.1109/CEC.2017.7969593.
  • Javiera Loyola Vitali, Elizabeth Montero & María-Cristina Riff.Bus Routing for Emergency Evacuations: The Case of the Great Fire of Valparaiso, IEEE Congress on Evolutionary Computation (CEC 2017), IEEE, 2346-2353, San Sebastián, España, 10.1109/CEC.2017.7969589.
  • Nicolás Rojas-Morales, María-Cristina Riff & Elizabeth Montero. Learning from the opposite: Strategies for Ants that solve Multidimensional Knapsack Problem, Proceedings of the IEEE World Congress on Computational Intelligence (WCCI 2016), IEEE, 193-200, Vancouver, Canada, 10.1109/CEC.2016.7743795.
  • Nicolás Rojas-Morales, María-Cristina Riff & Elizabeth Montero. Ants can Learn from the Opposite, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016), ACM, 389-396, Denver, Colorado, USA, 10.1145/2908812.2908927.
  • Francisco Castillo, María-Cristina Riff & Elizabeth Montero. New Bounds for Office Space Allocation using Tabu Search, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016), ACM, 869-876, Denver, Colorado, USA, 10.1145/2908812.2908932.
  • Elizabeth Montero & María-Cristina Riff. RAISTTP Revisited to solve Relaxed Travel Tournament Problem, Proceedings of the 16th Genetic and Evolutionary Computa-tion Conference (GECCO 2015), ACM, 121-128, Madrid, España, 10.1145/2739480.2754753.
  • María-Cristina Riff & Elizabeth Montero. A Collaborative Strategy to Reduce Initial Setup Requirements of ParamILS using EvoCa, Proceedings of the 16th Genetic and Evolutionary Computation Conference (GECCO 2015), ACM, 1467-1468, Madrid, España, 10.1145/2739482.2764696.
  • Rodolfo Hoffman, María-Cristina Riff, Elizabeth Montero & Nicolás Rojas. Google Challenge: A Hyperheuristic for the Machine Reassignment Problem, Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2015), IEEE, 846-853, Sendai,Japan, 10.1109/CEC.2015.7256979.
  • Nicolás Rojas, María-Cristina Riff & Elizabeth Montero.Using Anti-pheromone to identify Core Objects for Mutidimensional Knapsack Problems: A Two-step Ants based Approach, Proceedings of the 16th Genetic and Evolutionary Computation Conference (GECCO 2015), ACM, 1469-1470, Madrid, España, 10.1145/2739482.2764713.
  • Adriana Menchaca-Méndez, Elizabeth Montero, María-Cristina Riff & Carlos A. Coello Coello. A More Efficient Selection Scheme in iSMS-EMOA, Advances in Artificial Intelligence (IBERAMIA 2014), Lecture Notes in Computer Science, Springer, 371-380, Santiago, Chile, 10.1007/978-3-319-12027-0_30.
  • Elizabeth Montero & María-Cristina Riff. Towards a Method for Automatic Algorithm Configuration: A Design Evaluation using Tuners, Proceedings of the 13th International Conference on Parallel Problem Solving from Nature (PPSN 2014), Springer, 90-99, Ljubljana-Slovenia, 10.1007/978-3-319-10762-2_9.
  • María-Cristina Riff & Elizabeth Montero. A New Algorithm for Reducing Metaheuristic Design Effort, Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2013), IEEE, 3283-3290, Cancún, México, 10.1109/CEC.2013.6557972.
  • María-Cristina Riff & Elizabeth Montero. Trading Accuracy for Simplicity in Evolutionary Algorithms, Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2013), IEEE, 3125-3131, Cancún, México, 10.1109/CEC.2013.6557951.
  • Elizabeth Montero, María-Cristina Riff, Leslie Pérez-Cáceres & Carlos A. Coello Coello. Are State-of-the-Art Fine-Tuning Algorithms Able to Detect a Dummy Parameter?, Proceedings of the 12th International Conference on Parallel Problem Solving from Nature (PPSN 2012), Springer, 306-315, Taormina, Italy, 10.1007/978-3-642-32937-1_31.
  • Elizabeth Montero, María-Cristina Riff & Bertrand Neveu. An Evaluation of Off-line Calibration Techniques for Evolutionary Algorithms, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010), ACM, 299-300, Portland-Oregon, USA, 10.1145/1830483.1830540.
  • Elizabeth Montero, María-Cristina Riff & Bertrand Neveu. New Requirements for Offline Parameter Calibration Algorithms, Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2010), IEEE, 3466-3473, Barcelona, España, 10.1109/CEC.2010.5586156.
  • Elizabeth Montero & María-Cristina Riff. A Dynamic Adaptive Calibration of the CLONALG Immune Algorithm, Proceedings of the International Conference on Adaptive and Intelligent Systems (ICAIS 2009), IEEE Computer Society, 187-193, Klagenfurt, Austria, 10.1109/ICAIS.2009.38.
  • Elizabeth Montero, María-Cristina Riff & Daniel Basterrica. Improving MMAS using Parameter Control, Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2008), IEEE, 4006-4010, Hong-Kong, 10.1109/CEC.2008.4631343.
  • Elizabeth Montero & María-Cristina Riff. Self-calibrating Strategies for Evolutionary Approaches that Solve Constrained Combinatorial Problems, Proceedings of the International Symposium on Methodologies for Intelligent Systems (ISMIS 2008), Lecture Notes in Computer Science 4994, Springer, 262-267, Toronto, Canada, 10.1007/978-3-540-68123-6_29.
  • María-Cristina Riff & Elizabeth Montero. Calibrating Strategies for Evolutionary Algorithms, IEEE Congress on Evolutionary Computation (CEC 2007), IEEE, 394-399,Singapore, 10.1109/CEC.2007.4424498.
  • Marcos Zúñiga, María-Cristina Riff & Elizabeth Montero.NAIS: A Calibrated Immune Inspired Algorithm to Solve Binary Constraint Satisfaction Problems,Proceedings of the International Conference on Artificial Immune Systems (ICARIS 2007), Lecture Notes in Computer Science 4628, Springer, 25-34, Santos, Brazil, 10.1007/978-3-540-73922-7_3.
  • Miriam Pescador-Rojas, Raquel Hernández Gómez, Elizabeth Montero, Nicolás Rojas-Morales, María-Cristina Riff & Carlos A. Coello Coello. An Overview of Weighted and Unconstrained Scalarizing Functions, Evolutionary Multi-Criterion Optimization (EMO 2017), Lecture Notes in Computer Science, Springer, 499-513, Münster, Germany, 10.1007/978-3-319-54157-0_34
  • Elizabeth Montero & María-Cristina Riff. Evaluating Components of Artificial Immune Algorithms: A Performance-aware Method based on Evolutionary Calibrator, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC 2014), IEEE, 3822-3827, San Diego, Estados Unidos.
  • Nicolás Rojas, María-Cristina Riff, Xavier Bonnaire, & Elizabeth Montero. New Components with on-line Control to Improve Harmony Search, Proceedings of the IEEE International Conference on Computer and Information Technology (CIT 2013), IEEE, 538-544, Sydney, Australia.
  • Elizabeth Montero, María-Cristina Riff & Leopoldo Altamirano. A PSO algorithmsolve a Real Course+Exam Timetabling Problem, Proceedings of the International Conference on Swarm Intelligence (ICSI 2011), IEEE, 241-248, Cergy, France.
  • Elizabeth Montero & María-Cristina Riff. Managing Diversity on an AIS that Solves 3-colouring Problems, Proceedings of the International Conference on Artificial Immune Systems (ICARIS 2009), Lecture Notes in Computer Science 5666, Springer, 248-259, York, United-Kingdom.
  • Roberto Díaz & Elizabeth Montero. Multiobjective Island Model Genetic Algorithm for the Urban Transit Routing Problem, XVIII CLAIO, the Latin-Iberoamerican Conference on Operations Research (CLAIO 2016), Santiago, Chile.
  • Elizabeth Montero. A Case Study of On-The-Fly Calibration for Artificial Immune Network Algorithms, Joint Workshop on Automated Selection and Tuning of Algorithms, Part B) Discrete Search Spaces - Focus on Parameter Selection (PPSN 2012), Taormina, Italy.
  • Elizabeth Montero, María-Cristina Riff, Bertrand Neveu & Giglia Gómez. Using (C,n)-strategy for adapting parameters in an AIS that solves the UCTTP, EU/MEeting 2010, Lorient, France.
  • María-Cristina Riff, Joaquín Moreira, Leopoldo Altamirano & Elizabeth Montero. A two-phases approach to solve a course and dynamic exam timetabling problem, ALIO-INFORMS Joint International Meeting 2010, Buenos-Aires, Argentina.
  • Elizabeth Montero. How important is the Parameter Space definition when using Tuners?, Congreso Chileno de Investigación Operativa (OPTIMA 2017), Viña del Mar, Chile.
  • Nicolás Rojas-Morales, María-Cristina Riff & Elizabeth Montero. Collaborative Opposite Strategies for HS: The case of MKP, Congreso Chileno de Investigación Operativa (OPTIMA 2017), Viña del Mar, Chile.
  • 2015-2018, Initiation into Research FONDECYT 11150787, Fondo Nacional de Desarrollo Científico y Tecnológico, Chile. Designing Efficient Tuning Algorithms with Learning. Investigador principal.
  • 2012-2015, Postdoctoral FONDECYT 3130754, Fondo Nacional de Desarrollo Científico y Tecnológico, Chile. Parameter Control For Multiobjective Evolutionary Algorithms That Solve Combinatorial Optimization Problems. Investigador principal.
  • 2015-2017, PCCI140054, Comisión Nacional de Investigación Científica y Tecnológica, Mejorando Automáticamente el proceso de Búsqueda de Algoritmos Evolutivos con Multiobjetivos, María-Cristina Riff, México-Chile, Investigador asociado.
  • 2012-2015, FONDECYT 1120781, Fondo Nacional de Desarrollo Científico y Tecnológico, Computer-Aided Design of Effective Heuristics-Based Algorithms, María-Cristina Riff, Chile, Investigador asociado.
  • 2011-2013, CONACYT/CONICYT 2010-199, Comisión Nacional de Investigación Científica y Tecnológica, Estrategias para la Selección de Componentes de Algoritmos Bio-inspirados, María-Cristina Riff, México-Chile, Investigador asociado.
  • 2011-2013, ECOS/CONICYT 2010-038, Comisión Nacional de Investigación CientíficaTecnológica, Algoritmos Evolutivos Autónomos, María-Cristina Riff, France-Chile, Investigador asociado.
  • 2008-2010, FONDECYT 1080110, Fondo Nacional de Desarrollo Científico y Tecnológico, Self-Adaptive Bio-inspired Hybrid Techniques for solving Hard Combinatorial Problems, María-Cristina Riff, Chile, Investigador asociado.

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