Frederico G. Guimarães

Orcid: 0000-0001-9238-8839

According to our database1, Frederico G. Guimarães authored at least 128 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Autonomous data partitioning for type-2 fuzzy set based time series.
Evol. Syst., April, 2024

Automated construction management platform with image analysis using deep learning neural networks.
Multim. Tools Appl., March, 2024

2023
CML-Cardio: a cascade machine learning model to predict cardiovascular disease risk as a primary prevention strategy.
Medical Biol. Eng. Comput., June, 2023

An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications.
Neural Comput. Appl., May, 2023

Automatic translation of sign language with multi-stream 3D CNN and generation of artificial depth maps.
Expert Syst. Appl., April, 2023

Combining genetic local search into a multi-population Imperialist Competitive Algorithm for the Capacitated Vehicle Routing Problem.
Appl. Soft Comput., 2023

Time series forecasting using fuzzy cognitive maps: a survey.
Artif. Intell. Rev., 2023

An Autonomous Mobile Robot Path Planner using Spline Curves and Differential Evolution.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Assessment of Robust Multi-objective Evolutionary Algorithms on Robust and Noisy Environments.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Unmanned-Aerial-Vehicle Routing Problem With Mobile Charging Stations for Assisting Search and Rescue Missions in Postdisaster Scenarios.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Multi-objective evolutionary algorithm based on decomposition with an external archive and local-neighborhood based adaptation of weights.
Swarm Evol. Comput., 2022

Automated diagnosis of schistosomiasis by using faster R-CNN for egg detection in microscopy images prepared by the Kato-Katz technique.
Neural Comput. Appl., 2022

Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications.
Neurocomputing, 2022

Interval type-2 fuzzy set based time series forecasting using a data-driven partitioning approach.
Evol. Syst., 2022

Multi-objective Iterated Local Search based on decomposition for job scheduling problems with machine deterioration effect.
Eng. Appl. Artif. Intell., 2022

Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting.
CoRR, 2022

Automatic Rule Generation for Cellular Automata Using Fuzzy Times Series Methods.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Development and validation of a Brazilian sign language database for human gesture recognition.
Neural Comput. Appl., 2021

Bi-criteria formulation for green scheduling with unrelated parallel machines with sequence-dependent setup times.
Int. Trans. Oper. Res., 2021

Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications.
CoRR, 2021

Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs.
Comput. Biol. Medicine, 2021

Automated Monitoring of Construction Sites of Electric Power Substations Using Deep Learning.
IEEE Access, 2021

Fuzzy Decision Support System for the Calibration of Laboratory-Scale Mill Press Parameters.
IEEE Access, 2021

High-dimensional Multivariate Time Series Forecasting in IoT Applications using Embedding Non-stationary Fuzzy Time Series.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

A C4.5 Fuzzy Decision Tree Method for Multivariate Time Series Forecasting.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

High-dimensional Multivariate Time Series Forecasting using Self-Organizing Maps and Fuzzy Time Series.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Self-Organised Direction Aware Data Partitioning for Type-2 Fuzzy Time Series Prediction.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Local Neighborhood-Based Adaptation of Weights in Multi-Objective Evolutionary Algorithms Based on Decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Aggregation of Sentiment Analysis Index with Hesitant Fuzzy Sets for Financial Time Series Forecasting.
Proceedings of the IEEE World AI IoT Congress, 2021

2020
Dirt Buildup on Belt Conveyor Structures.
Dataset, January, 2020

Distributed Evolutionary Hyperparameter Optimization for Fuzzy Time Series.
IEEE Trans. Netw. Serv. Manag., 2020

Unmanned Aerial Vehicle Location Routing Problem With Charging Stations for Belt Conveyor Inspection System in the Mining Industry.
IEEE Trans. Intell. Transp. Syst., 2020

Probabilistic Forecasting With Fuzzy Time Series.
IEEE Trans. Fuzzy Syst., 2020

Automatic System for Visual Detection of Dirt Buildup on Conveyor Belts Using Convolutional Neural Networks.
Sensors, 2020

Evolving clustering algorithm based on mixture of typicalities for stream data mining.
Future Gener. Comput. Syst., 2020

The Cone epsilon-Dominance: An Approach for Evolutionary Multiobjective Optimization.
CoRR, 2020

COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions.
CoRR, 2020

Reference evapotranspiration time series forecasting with ensemble of convolutional neural networks.
Comput. Electron. Agric., 2020

Forecasting in non-stationary environments with fuzzy time series.
Appl. Soft Comput., 2020

Scalable and customizable benchmark problems for many-objective optimization.
Appl. Soft Comput., 2020

Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Applying Genetic Programming to Improve Interpretability in Machine Learning Models.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
An adaptive multi-objective algorithm based on decomposition and large neighborhood search for a green machine scheduling problem.
Swarm Evol. Comput., 2019

A Distributed Algorithm for Scalable Fuzzy Time Series.
Proceedings of the Green, Pervasive, and Cloud Computing - 14th International Conference, 2019

2018
Less Is More: The Neighborhood Guided Evolution Strategies Convergence on Some Classic Neighborhood Operators.
Proceedings of the Variable Neighborhood Search - 6th International Conference, 2018

An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Information to the Eye of the Beholder: Data Visualization for Many-Objective Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Robust Design with Surrogate-Assisted Evolutionary Algorithm: Does It Work?
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018

2017
Procedural generation of non-player characters in massively multiplayer online strategy games.
Soft Comput., 2017

Multi-objective multi-robot deployment in a dynamic environment.
Soft Comput., 2017

A new visualization method in many-objective optimization with chord diagram and angular mapping.
Knowl. Based Syst., 2017

Short-term load forecasting method based on fuzzy time series, seasonality and long memory process.
Int. J. Approx. Reason., 2017

EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS.
Electron. Notes Discret. Math., 2017

Generic Pareto local search metaheuristic for optimization of targeted offers in a bi-objective direct marketing campaign.
Comput. Oper. Res., 2017

A multi-objective model for the green capacitated location-routing problem considering environmental impact.
Comput. Ind. Eng., 2017

A hybrid SARFIMA-FTS model for time series prediction in smart grids.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Very short-term solar forecasting using fuzzy time series.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Evolutionary method for weight vector generation in Multi-Objective Evolutionary Algorithms based on decomposition and aggregation.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

An Adaptive Large Neighborhood Search with Learning Automata for the Unrelated Parallel Machine Scheduling Problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
An infeasibility certificate for nonlinear programming based on Pareto criticality condition.
Oper. Res. Lett., 2016

Combining ARFIMA models and fuzzy time series for the forecast of long memory time series.
Neurocomputing, 2016

Stock market forecasting by using a hybrid model of exponential fuzzy time series.
Int. J. Approx. Reason., 2016

Erratum to "A cooperative coevolutionary algorithm for the Multi-Depot Vehicle Routing Problem [Expert Systems with Applications 43 (2015) 117-130]".
Expert Syst. Appl., 2016

A cooperative coevolutionary algorithm for the Multi-Depot Vehicle Routing Problem.
Expert Syst. Appl., 2016

Hybrid Self-Adaptive Evolution Strategies Guided by Neighborhood Structures for Combinatorial Optimization Problems.
Evol. Comput., 2016

Multi-objective approach for robot motion planning in search tasks.
Appl. Intell., 2016

Interval forecasting with Fuzzy Time Series.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Very short-term solar forecasting using multi-agent system based on Extreme Learning Machines and data clustering.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

An automatic calibration framework applied on a metaheuristic fuzzy model for the CIF competition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A New Visualization Tool in Many-Objective Optimization Problems.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

A hybrid evolutionary probabilistic forecasting model applied for rainfall and wind power forecast.
Proceedings of the 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2016

Competitive coevolutionary algorithm for robust multi-objective optimization: The worst case minimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Aggregation Trees for visualization and dimension reduction in many-objective optimization.
Inf. Sci., 2015

A New Perspective on Channel Allocation in WLAN: Considering the Total Marginal Utility of the Connections for the Users.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Multi-objective Evolutionary Algorithm with Discrete Differential Mutation Operator for Service Restoration in Large-Scale Distribution Systems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2014
Optimizing two-level reverse distribution networks with hybrid memetic algorithms.
Optim. Lett., 2014

Memetic self-adaptive evolution strategies applied to the maximum diversity problem.
Optim. Lett., 2014

Query join ordering optimization with evolutionary multi-agent systems.
Expert Syst. Appl., 2014

Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors.
Expert Syst. Appl., 2014

Differential evolution using ancestor tree for service restoration in power distribution systems.
Appl. Soft Comput., 2014

A study on self-configuration in the differential evolution algorithm.
Proceedings of the 2014 IEEE Symposium on Differential Evolution, 2014

Coevolutionary Procedural Generation of Battle Formations in Massively Multiplayer Online Strategy Games.
Proceedings of the 2014 Brazilian Symposium on Computer Games and Digital Entertainment, 2014

A study on the configuration of migratory flows in island model differential evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

On the visualization of trade-offs and reducibility in many-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A heuristic fuzzy algorithm bio-inspired by Evolution Strategies for energy forecasting problems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

GoldMiner: A genetic programming based algorithm applied to Brazilian Stock Market.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013
Flow Shop Scheduling Using a General Approach for Differential Evolution.
Proceedings of the Handbook of Optimization - From Classical to Modern Approach, 2013

A Parallel Hybrid Genetic Algorithm on Cloud Computing for the Vehicle Routing Problem with Time Windows.
Proceedings of the IEEE International Conference on Systems, 2013

A Non-parametric Harmony-Based Objective Reduction Method for Many-Objective Optimization.
Proceedings of the IEEE International Conference on Systems, 2013

Dynamic selection of migration flows in island model differential evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

An evolutionary multi-agent system for database query optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Multi-objective approaches for the open-pit mining operational planning problem.
Electron. Notes Discret. Math., 2012

A fuzzy genetic algorithm for automatic orthogonal graph drawing.
Appl. Soft Comput., 2012

Multi-Objective Differential Evolution on the GPU with C-CUDA.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

Genetic Algorithms Applied to Reverse Distribution Networks.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

Differential Evolution and Perceptron Decision Trees for Fault Detection in Power Transformers.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

Performance Comparison of Parameter Variation Operators in Self-Adaptive Differential Evolution Algorithms.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

A Multi-agent Approach to the Adaptation of Migration Topology in Island Model Evolutionary Algorithms.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Automatic Evaluation Methods in Evolutionary Music: An Example with Bossa Melodies.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Differential Evolution and Perceptron Decision Trees for Classification Tasks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

A General Approach for Adaptive Kernels in Semi-Supervised Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Evolution of Contours for Topology Optimization.
Proceedings of the EVOLVE, 2012

2011
Self-adaptive mutation in the differential evolution.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A cooperative coevolutionary algorithm for the design of wireless sensor networks: track name: bio-inspired solutions for wireless sensor networks.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A multiobjective genetic algorithm for automatic orthogonal graph drawing.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Originality and diversity in the artificial evolution of melodies.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Pareto Cone <i>ε</i>-Dominance: Improving Convergence and Diversity in Multiobjective Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

A comparison of dominance criteria in many-objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Memetic and Evolutionary Design of Wireless Sensor Networks Based on Complex Network Characteristics.
Int. J. Nat. Comput. Res., 2010

A New Differential Evolution Based Metaheuristic for Discrete Optimization.
Int. J. Nat. Comput. Res., 2010

Using differential evolution for combinatorial optimization: A general approach.
Proceedings of the IEEE International Conference on Systems, 2010

LMI formulation for multiobjective learning in Radial Basis Function neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2010

A hybrid genetic algorithm for automatic graph drawing based on the topology-shape-metric approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

A new self-adaptive approach for evolutionary multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Feedback-Control Operators for Evolutionary Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

Interval Robust Multi-Objective Evolutionary Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A quality metric for multi-objective optimization based on Hierarchical Clustering Techniques.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A Differential Mutation operator for the archive population of multi-objective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Local Search with Quadratic Approximations into Memetic Algorithms for Optimization with Multiple Criteria.
Evol. Comput., 2008

2007
Design of mixed H<sub>2</sub>/H<sub>infinity</sub> control systems using algorithms inspired by the immune system.
Inf. Sci., 2007

Overview of Artificial Immune Systems for Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Local search with quadratic approximation in Genetic Algorithms for expensive optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Quadratic Approximation-Based Coordinate Change in Genetic Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

A Quadratic Approximation-Based Local Search Procedure for Multiobjective Genetic Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

On Nonlinear Fitness Functions for Ranking-Based Selection.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Local Learning and Search in Memetic Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

An Immune-based Algorithm for Topology Optimization.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Constraint quadratic approximation operator for treating equality constraints with genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005


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