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Elizabeth Montero

Profesor Investigador

Universidad Andrés Bello

Viña del Mar, Chile

Líneas de Investigación


sistemas adaptivos; metaheuristicas; problemas de optimización combinatoria; computación evolutiva; programación con restricciones

Educación

  •  Ciencias de la Computación, UNIVERSITE DE NICE-SOPHIA ANTIPOLIS. Francia, 2011
  •  Ciencias de la Computación, UNIVERSIDAD TECNICA FEDERICO SANTA MARIA. Chile, 2007
  •  Ingeniero civil informático, UNIVERSIDAD TECNICA FEDERICO SANTA MARIA. Chile, 2007

Experiencia Académica

  •   Asistente de Investigación Full Time

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Valparaíso, Chile

    2007 - 2012

  •   Investigador Responsable Full Time

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Valpara?io, Chile

    2012 - 2015

  •   Investigador Joven Full Time

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Valparaíso, Chile

    2015 - 2018

  •   Profesor Investigador Full Time

    UNIVERSIDAD ANDRES BELLO

    Ingeniería

    Viña del Mar, Chile

    2018 - A la fecha

Experiencia Profesional

  •   Profesor Investigador Full Time

    Universidad Andrés Bello

    Viña del Mar, Chile

    2018 - A la fecha

  •   Asistente de investigación Full Time

    Universidad Técnica Federico Santa María

    Valparaíso, Chile

    2007 - 2012

  •   Postdoctorante Full Time

    Fondecyt/Conicyt

    Valparaíso, Chile

    2012 - 2015

  •   Investigador joven Full Time

    Universidad Técnica Federico Santa María

    Valparaíso, Chile

    2015 - 2018


 

Article (15)

Effective collaborative strategies to setup tuners
A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on epsilon-Dominance
A Prize Collecting problem applied to a Real Milk Collection problem in Chile
Application of Meta-Heuristic Approaches in the Spectral Power Clustering Technique (SPCT) to Improve the Separation of Partial Discharge and Electrical Noise Sources
A cooperative opposite-inspired learning strategy for ant-based algorithms
An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm with Adaptive Resource Allocation
Tuners review: How crucial are set-up values to find effective parameter values?
A survey and classification of Opposition-Based Metaheuristics
A beginner's guide to tuning methods
Towards a method for automatic algorithm configuration=> A design evaluation using tuners
Reducing calibration effort for clonal selection based algorithms: A reinforcement learning approach
On-the-fly calibrating strategies for evolutionary algorithms
A graph-based immune-inspired constraint satisfaction search
Managing Diversity on an AIS That Solves 3-Colouring Problems
Self-calibrating strategies for evolutionary approaches that solve constrained combinatorial problems

ConferencePaper (22)

An Iterated Local Search Approach to Solve the Milk Collection Problem With Blending
Modelling Parameter Configuration Spaces with Local Optima Networks
Spatial and aspatial clustering analysis of PM2.5 concentrations in Temuco, Chile using mobile measurements
An Analysis of Parameters of Decomposition-Based MOEAs on Many-Objective Optimization
An effective simulated annealing for off-line robot motion planning
An evaluation of meta-heuristic approaches for improve the separation of multiple partial discharge sources and electrical noise
Google challenge: A hyperheuristic for the Machine Reassignment Problem
RAIS(TTP) Revisited to Solve Relaxed Travel Tournament Problem
Using anti-pheromone to identify core objects for multidimensional knapsack problems: A two-step ants based approach
A More Efficient Selection Scheme in iSMS-EMOA
Evaluating Components of Artificial Immune Algorithms: A Performance-aware Method based on Evolutionary Calibrator
Towards a Method for Automatic Algorithm Configuration: A Design Evaluation Using Tuners
A new algorithm for reducing metaheuristic design effort
New Components with on-line Control to Improve Harmony Search
Trading accuracy for simplicity in evolutionary algorithms
Are state-of-the-art fine-tuning algorithms able to detect a dummy parameter?
An evaluation of off-line calibration techniques for evolutionary algorithms
C-Strategy: A dynamic adaptive strategy for the CLONALG algorithm
New requirements for off-line parameter calibration algorithms
A Dynamic Adaptive Calibration of the CLONALG Immune Algorithm
Improving MMAS using Parameter Control
Calibrating strategies for evolutionary algorithms

Proyecto (8)

Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica (PAPIIT), Escuela Nacional de Estudios Superiores, Unidad Morelia, México.
Designing efficient tuning algorithms with learning
Mejorando Automáticamente el proceso de Búsqueda de Algoritmos Evolutivos con Multiobjetivos
Computer-Aided Design of Effective Heuristics-Based Algorithms
Parameter Control for Multiobjective Evolutionary Algorithms that Solve Combinatorial Optimization Problems
Algoritmos Evolutivos Autónomos
Estrategias para la selección de componentes de algoritmos bio-inspirados
Self-Adaptive Bio-inspired Hybrid Techniques for solving Hard Combinatorial Problems
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Elizabeth Montero

Profesor Investigador

Universidad Andrés Bello

Viña del Mar, Chile

2
Maria-Cristina Riff

Académico

UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

VALPARAISO, Chile

1
Jorge Ardila

Profesor Auxiliar

UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

santiago de chile, ñuñoa, Chile

1
Marcos Zúñiga

Assistant Professor

Electrónica

UNIVERSIDAD TÉCNICA FEDERICO SANTA MARIA

Valparaíso, Chile

1
Leslie Pérez

Profesora Asociada

Escuela de Ingeniería Informática

Pontificia Universidad Católica de Valparaíso

Valparaíso, Chile