Man

Maria-Cristina Riff Rojas

Académico

UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

VALPARAISO, Chile

Líneas de Investigación


sistemas adaptivos; machine learning; metaheuristicas; problemas de optimizacion combinatoria; problemas en el área de la salud: Radioterapia, Enfermería. COMPUTACION EVOLUTIVA; METAHEURISTICAS; PROGRAMACION CON RESTRICCIONES

Educación

  •  DR. Matematicas e Informática, Ecole Nationale des Ponts et Chaussées. Francia, 1998
  •  Habilitation a Diriger Recherches, UNIVERSITE D'ORSAY. Francia, 2014

Experiencia Académica

  •   Académico Full Time

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Valparaíso, Chile

    1991 - A la fecha

Experiencia Profesional

  •   Jefe Proyecto de Investigación Full Time

    Armada de Chile

    Valparaíso, Chile

    1988 - 1991

Formación de Capital Humano


Guia de tres tesis doctorales, más de 15 Tesis de Magister y más de 30 memorias de pregrado, con 4 alumnos postdoctorales.



 

Article (12)

Robots in Partially Known and Unknown Environments: A Simulated Annealing Approach for Re-Planning
Decision Trees+Evolutionary Algorithm for Predict then Optimize
Opposite scoring: focusing the tuning process of evolutionary calibrator
A review of recent approaches on wrapper feature selection for intrusion detection
Learning and focusing strategies to improve ACO that solves CSP
Opposition-Inspired synergy in sub-colonies of ants: The case of Focused Ant Solver
Reducing the effort of Evolutionary Calibrator Using Opposite Information
A Hyper-Heuristic for the Orienteering Problem With Hotel Selection
A Survey and a Classification of Recent Approaches to Solve the Google Machine Reassignment Problem
Effective collaborative strategies to setup tuners
G-CREM: A GRASP approach to solve the container relocation problem for multibays
A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on epsilon-Dominance

ConferencePaper (5)

A Practical Tuner based on Opposite Information
Improving an evolutionary wrapper for attack detection by including feature importance information
Ants can Learn from the Opposite
New Bounds for Large Container Relocation Instances using Grasp
New Bounds for Office Space Allocation using Tabu Search

Proyecto (14)

Designing Dynamic Metaheuristics
Emergent Computing for Dynamic Combinatorial Problems
015-2016 CONICYT/CONACYT:”Mejorando automáticamente el proceso de búsqueda de algoritmos evolutivos con multiobjetivos”, Collaboration Mexico Chile, CINVESTAV, Dr. Carlos Coello
AI-Solvers Programa: FONDEF
META-ALGORITHMIC STRATEGIES FOR IMPROVING HEURISTICS-BASED SEARCH ALGORITHMS
HIPER-HEURISTICAS PARA LA RESOLUCION DE PROBLEMAS COMBINATORIALES COMPLEJOS
Diseño de Algoritmos Culturales
Algorithmes Evolutionnistes Adaptatifs pour résoudre des Problemes de Grand Taille
Architecture et utils pour le controle en temps d'execution
Algoritmos Evolucionistas Autónomos
DISENO DE ESTRATEGIAS PARA EL CONTROL DE PARAMETROS DE METAHEURISTICAS
Estrategias para selección de componentes de algoritmos bio-inspirados
Increasing the Life of Heuristic-based Algorithms for Dynamic Optimisation with Learning
SELF-ADAPTIVE BIO-INSPIRED HYBRID TECHNIQUES FOR HARD COMBINATORIAL OPTIMIZATION
31
Maria-Cristina Riff

Académico

UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

VALPARAISO, Chile

5
Elizabeth Montero

Académica

Informática

Universidad Técnica Federico Santa María

Valparaíso, Chile

4
Nicolás Rojas

INVESTIGADOR JOVEN

INFORMATICA

Universidad Técnica Federico Santa María

VALPARAISO, Chile