Myriam Regattieri Delgado

Orcid: 0000-0002-2791-174X

According to our database1, Myriam Regattieri Delgado authored at least 100 papers between 1993 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

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Bibliography

2023
PerceptSent - Exploring Subjectivity in a Novel Dataset for Visual Sentiment Analysis.
IEEE Trans. Affect. Comput., 2023

Rat swarm optimizer adjusted by fuzzy inference system.
J. Intell. Fuzzy Syst., 2023

Stochastic local search and parameters recommendation: a case study on flowshop problems.
Int. Trans. Oper. Res., 2023

2022
Comparing global tourism flows measured by official census and social sensing.
Online Soc. Networks Media, 2022

Selection hyper-heuristics for the multi and many-objective quadratic assignment problem.
Comput. Oper. Res., 2022

PredicTour: Predicting Mobility Patterns of Tourists Based on Social Media User's Profiles.
IEEE Access, 2022

On the fitness landscapes of interdependency models in the travelling thief problem.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

Offline and Online Neural Network Learning in the Context of Smart Homes and Fog Computing.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Treasure Hunt Framework: Distributing Metaheuristics on High Performance Computing Systems.
Swarm Evol. Comput., 2021

Saving computational budget in Bayesian network-based evolutionary algorithms.
Nat. Comput., 2021

Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape.
J. Heuristics, 2021

A hybrid greedy indicator- and Pareto-based many-objective evolutionary algorithm.
Appl. Intell., 2021

A selection hyperheuristic guided by Thompson sampling for numerical optimization.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Flowshop NEH-Based Heuristic Recommendation.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2021

Comparing Selection Hyper-Heuristics for Many-Objective Numerical Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Local Optima Network Sampling for Permutation Flowshop.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020
Hyper-heuristics using multi-armed bandit models for multi-objective optimization.
Appl. Soft Comput., 2020

Regional Influences on Tourists Mobility Through the Lens of Social Sensing.
Proceedings of the Social Informatics - 12th International Conference, 2020

Influências Regionais na Mobilidade de Turistas e Residentes Usando Dados de Mídia Social.
Proceedings of the XXXVIII Brazilian Symposium on Computer Networks and Distributed Systems, 2020

Multi-layer local optima networks for the analysis of advanced local search-based algorithms.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms.
CoRR, 2019

A Deep Artificial Immune System to Detect Weld Defects in DWDI Radiographic Images of Petroleum Pipes.
IEEE Access, 2019

Meta-learning on flowshop using fitness landscape analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Classifying Venue Categories of Unlabeled Check-ins Using Mobility Patterns.
Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem.
J. Heuristics, 2018

A hyperheuristic approach based on low-level heuristics for the travelling thief problem.
Genet. Program. Evolvable Mach., 2018

Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm.
Appl. Soft Comput., 2018

A fitness landscape analysis of the travelling thief problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Boosting the Performance of MOEA/D-DRA with a Multi-Objective Hyper-Heuristic Based on Irace and UCB Method for Heuristic Selection.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Meta-Learning for Optimization: A Case Study on the Flowshop Problem Using Decision Trees.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A New Hyper-Heuristic Based on a Contextual Multi-Armed Bandit for Many-Objective Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Recommending Meta-Heuristics and Configurations for the Flowshop Problem via Meta-Learning: Analysis and Design.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

A Rule-Based Greedy Ant (rGrAnt) Protocol for Networking Environments.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Multi-armed Bandit Based Hyper-Heuristics for the Permutation Flow Shop Problem.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification.
Knowl. Based Syst., 2017

Estimating stop conditions of swarm based stochastic metaheuristic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Adaptive Operator Selection for Many-Objective Optimization with NSGA-III.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence Bound Technique.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

A New Hyper-Heuristic Based on a Restless Multi-armed Bandit for Multi-objective Optimization.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Detecção de Tubos em Imagens Radiográficas Digitais.
RITA, 2016

Extreme Learning Surrogate Models in Multi-objective Optimization based on Decomposition.
Neurocomputing, 2016

ADEMO/D: An adaptive differential evolution for protein structure prediction problem.
Expert Syst. Appl., 2016

A social-aware routing protocol for opportunistic networks.
Expert Syst. Appl., 2016

HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015
ENIAC 2013 Special Issue.
J. Intell. Robotic Syst., 2015

The DTN Routing Problem: Exploitation versus Exploration of Solutions.
Proceedings of the IEEE 81st Vehicular Technology Conference, 2015

A Particle Swarm Clustering Algorithm with Fuzzy Weighted Step Sizes.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

Automated Iterative Partitioning for Cooperatively Coevolving Particle Swarms in Large Scale Optimization.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

A Hyper-Heuristic for the Environmental/Economic Dispatch Optimization Problem.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014
ADEMO/D: Multiobjective optimization by an adaptive differential evolution algorithm.
Neurocomputing, 2014

ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

Transgenetic Algorithms for the Multi-objective Quadratic Assignment Problem.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
PSO with path relinking for resource allocation using simulation optimization.
Comput. Ind. Eng., 2013

Improved Cultural Immune Systems to solve the economic load dispatch problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A Multiobjective Algorithm for Protein Structure Prediction Using Adaptive Differential Evolution.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
GrAnt: Inferring best forwarders from complex networks' dynamics through a greedy Ant Colony Optimization.
Comput. Networks, 2012

An experimental analysis of evolutionary heuristics for the biobjective traveling purchaser problem.
Ann. Oper. Res., 2012

ADEMO/D: Adaptive Differential Evolution for Multiobjective Problems.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Particle Swarm Optimization Applied to the Dynamic Allocation Problem.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Rule-Base Design Using Probabilistic Weights: A Preliminary Analysis of Uncertainty Aspects.
Proceedings of the Advances in Computational Intelligence, 2012

A Constructive Particle Swarm Algorithm for Fuzzy Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

CGrAnt: a swarm intelligence-based routing protocol for delay tolerant networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

FaiNet: An immune algorithm for fuzzy clustering.
Proceedings of the FUZZ-IEEE 2012, 2012

Genetic algorithms to automatic weld bead detection in double wall double image digital radiographs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Differential Evolution to Multi-objective Protein Structure Prediction.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

2011
The proposal of a fuzzy clustering algorithm based on particle swarm.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

A Greedy Ant Colony Optimization for routing in delay tolerant networks.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2011

2010
A Transgenetic Algorithm for the bi-objective traveling purchaser problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A neuro-coevolutionary genetic fuzzy system to design soft sensors.
Soft Comput., 2009

A soft computing-based approach to spatio-temporal prediction.
Int. J. Approx. Reason., 2009

Towards Interpretable General Type-2 Fuzzy Classifiers.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

2008
Artificial Immune Systems in Bioinformatics.
Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008

Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling.
Int. J. Hybrid Intell. Syst., 2008

PID control of MIMO process based on rank niching genetic algorithm.
Appl. Intell., 2008

Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2008

General type-2 fuzzy classifiers to land cover classification.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Warping search: a new metaheuristic applied to the protein structure prediction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
TA-PFP: A Transgenetic Algorithm to Solve the Protein Folding Problem.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

A Cultural Immune System for Economic Load Dispatch with Non-smooth Cost Functions.
Proceedings of the Artificial Immune Systems, 6th International Conference, 2007

Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

General Type-2 Fuzzy Inference Systems: Analysis, Design and Computational Aspects.
Proceedings of the FUZZ-IEEE 2007, 2007

A Hybrid Immune-Based System for the Protein Folding Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2007

2006
Spatio-Temporal Prediction by Means of a Fuzzy Rule-based Approach.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Co-evolutionary Genetic Fuzzy System: A Self-adapting Approach.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Self-Adapting Evolutionary Parameters: Encoding Aspects for Combinatorial Optimization Problems.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2005

2004
Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach.
Fuzzy Sets Syst., 2004

An Artificial Immune System for Fuzzy-Rule Induction in Data Mining.
Proceedings of the Parallel Problem Solving from Nature, 2004

2003
An heuristic-based self-adapting crossover method: additional flexibility in the evolutionary process.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Multi-objective decision making: towards improvement of accuracy, interpretability and design autonomy in hierarchical genetic fuzzy systems.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Coevolutionary design of Takagi-Sugeno fuzzy systems.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Hierarchical genetic fuzzy systems.
Inf. Sci., 2001

2000
Evolutionary design of Takagi-Sugeno fuzzy systems: a modular and hierarchical approach.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

1999
Modular and Hierarchial Evolutionary Design of Fuzzy Systems.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

1996
Results of the use of Bayesian classifiers for identification of breast cancer cell nuclei.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

1993
Neurofuzzy interpolation. II. Reducing complexity of description.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993


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