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 (91)

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
Improving harmony search algorithms by using tonal variation=> the case of Sudoku and MKP
Tuners review=> How crucial are set-up values to find effective parameter values?
A survey and classification of Opposition-Based Metaheuristics
An overview of weighted and unconstrained scalarizing functions
RASON=> A new approach to the scheduling radiotherapy problem that considers the current waiting times.
Ants can Learn from the Opposite,
GeneRa=> A problem generator for radiotherapy treatment scheduling problems
Learning from the opposite=> Strategies for Ants that solve MKP,
New bounds for large container relocation instances using grasp
New bounds for Office Space Allocation using Tabu search
A collaborative strategy to reduce initial setup requirements of ParamILS using EvoCa
Google challenge=> A hyperheuristic for the Machine Reassignment Problem
HOPHS=> A hyperheuristic that solves orienteering problem with hotel selection
RAIS-TTP revisited to solve relaxed travel tournament problem
Solving scheduling tournament problems using a new version of CLONALG
Using Anti-pheromone to Identify Core Objects for Multidimensional Knapsack Problems=> A Two-step Ants based Approach,
A beam search approach to the container loading problem
A beginner’s guide to tuning methods
A filtering method for algorithm configuration based on consistency techniques
GeneRa => A Benchmarks Generator of Radiotherapy Treatment Scheduling Problem
A New Algorithm for Reducing Metaheuristic Design Effort
Including Modal Improvisation and Music-Inspired Components to Improve Harmony Search,
Including Modal Improvisation and Music-Inspired Components to Improve Harmony Search
New Components with on-line Control to Improve Harmony Search
New Components with on-line Control to Improve Harmony Search,
Reducing calibration effort for clonal selection based algorithms => A reinforcement learning approach
Reducing calibration effort for clonal selection based algorithms=> A reinforcement learning approach
Trading Accuracy for Simplicity in Evolutionary Algorithms
A Collaborative Approach to Solve a Nurse Scheduling Problem
AIS TTP => an Artificial Immune Algorithm to Solve Traveling Tournament Problems
Anesthesiology Nurse Scheduling using Particle Swarm Optimization
Are State-of-the-Art Fine-Tuning Algorithms Able to Detect a Dummy Parameter?
Towards a population-based framework for improving stochastic local search algorithms
A Graph-based Immune-inspired Constraint Satisfaction Search
New Bounds for the Relaxed Traveling Tournament Problems using an Artificial Immune Algorithm
On-the-fly Calibration Strategies for Evolutionary Algorithms
Solving timetabling problems using a cultural algorithm
A PSO algorithm to solve a real anaesthesiology nurse scheduling problem
A two-phases approach to solve a course and dynamic exam timetabling problem
AISTTP => An artificial immune algorithm to solve Traveling Tournament Problems
An Ant Based Approach for Generating Procedural Animations
An evaluation of off-line calibration techniques for evolutionary algorithms
C-Strategy=> A Dynamic Adaptive Strategy for the CLONALG Algorithm
DVRP=> a hard dynamic combinatorial optimisation problem tackled by an evolutionary hyper-heuristic
New Requirements for Off-line Parameter Calibration Algorithms
Using (C,n)-strategy for adapting parameters in an AIS that solves the UCTTP
A revision of recent approaches for two-dimensional strip-packing problems
A Dynamic Adaptive Calibration of the CLONALG Immune Algorithm
A New Strategy Based on GRASP to Solve a Macro Mine Planning
Managing Diversity on an AIS That Solves 3-Colouring Problems
Switching among Solvers=> Collaborative Algorithms with Parameter Control
A Strip Packing Solving Method Using an Incremental Move Based on Maximal Holes
An Efficient Hyperheuristic for Strip-Packing Problems
An Evolutionary Hyperheuristic to Solve Strip-Packing Problems
An evolutionary navigator for autonomous agents on unknown large scale environments
Applying Differential Cryptoanalysis for XTEA using a Genetic Algorithm
EA-MP=> An evolutionary algorithm for a mine planning problem
Improving MMAS using Parameter Control
Self-calibrating Strategies for Evolutionary Approaches that Solve Constrained Combinatorial Problems
A Cultural Algorithm with Operator Parameters Control for Solving Timetabling Problems
Calibrating Strategies for Evolutionary Algorithms
Collaboration Between Hyperheuristics to Solve Strip-Packing Problems
EDA=> An Evolutionary Decoding Algorithm for Statistical Machine Translation
NAIS=> A Calibrated Immune Inspired Algorithm to Solve Binary Constraint Satisfaction Problems
Solving the short-term electrical generation scheduling problem by an adaptive evolutionary approach
Towards an immune system that solves CSP
Towards an hyperheuristic to solve strip-packing problems
An On-the-fly Evolutionary Algorithm for Robot Motion Planning
Hybridization of Genetic Algorithms and Constraint Propagation for the BACP
Miner Ants Colony => A New Approach to Solve a Mine Planning Problem
Résolution du problème d' equilibrage des diplomes grace a l'hybridation d' algorithmes génétiques et de la propagation de constraintes
Towards a Cultural Algorithm to solve Timetabling Problem
Using Self-Adaptable Probes for Dynamic Parameter Control of Parallel Evolutionary Algorithms
A Cooperative Framework Based on Local Search and Constraint Pro- gramming for Solving Discrete Global Optimisation
Adapting Evolutionary Parameters by Dynamic Filtering for Operators Inheritance Strategy
Towards an Efficient Evolutionary Decoding Algorithm for Statistical Machine Translation
An Evolutionary Algorithm to solve the Short-Term Electrical Generation Scheduling Problem
Inheriting Parents Operators => A New Dynamic Strategy for Improving Evolutionary Algorithms
Evaluating Migration Strategies for a Graph-based Evolutionary Algorithm for CSP
Multiple Populations Guided by the Constraint-Graph for CSP
Modeling Timber Collection for Wood Processing Industry, The Case of ENSO
Towards an evolutionary algorithm to solve space planning problems
Evolutionary search guided by the constraint network to solve CSP
From quasi-solutions to solution => An evolutionary algorithm to solve csp
Using the knowledge of the constraints network to design an evolutionary algorithm that solves CSP
Towards a Method for Automatic Algorithm Configuration=> A Design Evaluation using Tuners

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 (32)

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
2015-2016 CONICYT/CONACYT=>”Mejorando automáticamente el proceso de búsqueda de algoritmos evolutivos con multiobjetivos”, Collaboration Mexico Chile, CINVESTAV, Dr. Carlos Coello
Increasing the Life of Heuristic-based Algorithms for Dynamic Optimisation with Learning
Equipo Asociado INRIA=> hARnessing MAssive DAta,
AI-Solvers
AI-Solvers Programa: FONDEF
META-ALGORITHMIC STRATEGIES FOR IMPROVING HEURISTICS-BASED SEARCH ALGORITHMS
META-ALGORITHMIC STRATEGIES FOR IMPROVING HEURISTICS-BASED SEARCH ALGORITHMS
PARAMETER CONTROL FOR MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS THAT SOLVE COMBINATORIAL OPTIMIZATION PROBLEMS
Algoritmos Evolucionistas Autónomos
Estrategias para selección de componentes de algoritmos bio-inspirados
Equipo Asociado VANAWEB
SELF-ADAPTIVE BIO-INSPIRED HYBRID TECHNIQUES FOR HARD COMBINATORIAL OPTIMIZATION
HIPER-HEURISTICAS PARA LA RESOLUCION DE PROBLEMAS COMBINATORIALES COMPLEJOS
HIPER-HEURISTICAS PARA LA RESOLUCION DE PROBLEMAS COMBINATORIALES COMPLEJOS
Resolution de porblemes dóptimisation par techniques de recherche locale
Diseño de Algoritmos Culturales
Diseño de Algoritmos Culturales
DISENO DE ESTRATEGIAS PARA EL CONTROL DE PARAMETROS DE METAHEURISTICAS
Algorithmes Evolutionnistes Adaptatifs pour résoudre des Problemes de Grand Taille
Algorithmes Evolutionnistes Adaptatifs pour résoudre des Problemes de Grand Taille
Algoritmos para la extracción minera
Architecture et utils pour le controle en temps d'execution
Architecture et utils pour le controle en temps d'execution
Evaluation de performance des metaheuristiques en utilisant plusieurs architectures
Complex Systems
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
23
Maria-Cristina Riff

Académico

UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

VALPARAISO, Chile

3
Elizabeth Montero

Académica

Informática

Universidad Técnica Federico Santa María

Valparaíso, Chile

1
Nicolás Rojas

INVESTIGADOR JOVEN

INFORMATICA

Universidad Técnica Federico Santa María

VALPARAISO, Chile