Constraint quadratic approximation operator for treating equality constraints with genetic algorithms. - Elizabeth F. Wanner; Frederico G. Guimarães; Rodney R. Saldanha; Ricardo H. C. Takahashi; Peter J. Fleming (Congress on Evolutionary Computation, 2005)

An Immune-based Algorithm for Topology Optimization. - Felipe Campelo; Frederico G. Guimarães; Hajime Igarashi; Kota Watanabe; Jaime Arturo Ramírez (IEEE Congress on Evolutionary Computation, 2006)

Local Learning and Search in Memetic Algorithms. - Frederico G. Guimarães; Elizabeth F. Wanner; Felipe Campelo; Ricardo H. C. Takahashi; Hajime Igarashi; David A. Lowther; Jaime A. Ramírez (IEEE Congress on Evolutionary Computation, 2006)

On Nonlinear Fitness Functions for Ranking-Based Selection. - Vinicius L. S. Silva; André R. da Cruz; Eduardo G. Carrano; Frederico G. Guimarães; Ricardo H. C. Takahashi (IEEE Congress on Evolutionary Computation, 2006)

A Quadratic Approximation-Based Local Search Procedure for Multiobjective Genetic Algorithms. - Elizabeth F. Wanner; Frederico G. Guimarães; Ricardo H. C. Takahashi; Peter J. Fleming (IEEE Congress on Evolutionary Computation, 2006)

Quadratic Approximation-Based Coordinate Change in Genetic Algorithms. - Elizabeth F. Wanner; Frederico G. Guimarães; Ricardo H. C. Takahashi; Peter J. Fleming (IEEE Congress on Evolutionary Computation, 2006)

Local search with quadratic approximation in Genetic Algorithms for expensive optimization problems. - Elizabeth F. Wanner; Frederico G. Guimarães; Ricardo H. C. Takahashi; Peter J. Fleming (IEEE Congress on Evolutionary Computation, 2007)

Overview of Artificial Immune Systems for Multi-objective Optimization. - Felipe Campelo; Frederico G. Guimarães; Hajime Igarashi (EMO, 2007)

Design of mixed H2/Hinfinity control systems using algorithms inspired by the immune system. - Frederico G. Guimarães; Reinaldo M. Palhares; Felipe Campelo; Hajime Igarashi (Inf. Sci., 2007)

Local Search with Quadratic Approximations into Memetic Algorithms for Optimization with Multiple Criteria. - Elizabeth F. Wanner; Frederico G. Guimarães; Ricardo H. C. Takahashi; Peter J. Fleming (Evol. Comput., 2008)

A Differential Mutation operator for the archive population of multi-objective evolutionary algorithms. - Lucas S. Batista; Frederico G. Guimarães; Jaime A. Ramírez (IEEE Congress on Evolutionary Computation, 2009)

A quality metric for multi-objective optimization based on Hierarchical Clustering Techniques. - Frederico G. Guimarães; Elizabeth F. Wanner; Ricardo H. C. Takahashi (IEEE Congress on Evolutionary Computation, 2009)

Interval Robust Multi-Objective Evolutionary Algorithm. - Gustavo L. Soares; Frederico G. Guimarães; Carlos A. Maia; João A. Vasconcelos; Luc Jaulin (IEEE Congress on Evolutionary Computation, 2009)

Feedback-Control Operators for Evolutionary Multiobjective Optimization. - Ricardo H. C. Takahashi; Frederico G. Guimarães; Elizabeth F. Wanner; Eduardo G. Carrano (EMO, 2009)

A new self-adaptive approach for evolutionary multiobjective optimization. - Lucas S. Batista; Felipe Campelo; Frederico G. Guimarães; Jaime A. Ramírez (IEEE Congress on Evolutionary Computation, 2010)

A hybrid genetic algorithm for automatic graph drawing based on the topology-shape-metric approach. - Bernadete Maria de Mendonça Neta; Gustavo Henrique Diniz Araújo; Frederico Gadelha Guimarães; Renato Cardoso Mesquita (GECCO, 2010)

LMI formulation for multiobjective learning in Radial Basis Function neural networks. - Gladston J. P. Moreira; Elizabeth F. Wanner; Frederico G. Guimarães; Luiz Duczmal; Ricardo H. C. Takahashi (IJCNN, 2010)

Using differential evolution for combinatorial optimization: A general approach. - Ricardo S. Prado; Rodrigo C. P. Silva; Frederico G. Guimarães; Oriane M. Neto (SMC, 2010)

A New Differential Evolution Based Metaheuristic for Discrete Optimization. - Ricardo Sérgio Prado; Rodrigo César Pedrosa Silva; Frederico Gadelha Guimarães; Oriane Magela Neto (Int. J. Nat. Comput. Res., 2010)

Memetic and Evolutionary Design of Wireless Sensor Networks Based on Complex Network Characteristics. - André Siqueira Ruela; Raquel da Silva Cabral; André Luiz Lins de Aquino; Frederico Gadelha Guimarães (Int. J. Nat. Comput. Res., 2010)

A comparison of dominance criteria in many-objective optimization problems. - Lucas S. Batista; Felipe Campelo; Frederico G. Guimarães; Jaime A. Ramírez (IEEE Congress on Evolutionary Computation, 2011)

Pareto Cone ε-Dominance: Improving Convergence and Diversity in Multiobjective Evolutionary Algorithms. - Lucas S. Batista; Felipe Campelo; Frederico G. Guimarães; Jaime A. Ramírez (EMO, 2011)

Originality and diversity in the artificial evolution of melodies. - Alan R. R. de Freitas; Frederico Gadelha Guimarães (GECCO, 2011)

A multiobjective genetic algorithm for automatic orthogonal graph drawing. - Bernadete Maria de Mendonça Neta; Gustavo Henrique Diniz Araújo; Frederico Gadelha Guimarães; Renato Cardoso Mesquita (GECCO, 2011)

A cooperative coevolutionary algorithm for the design of wireless sensor networks: track name: bio-inspired solutions for wireless sensor networks. - André Siqueira Ruela; André Luiz Lins de Aquino; Frederico Gadelha Guimarães (GECCO (Companion), 2011)

Self-adaptive mutation in the differential evolution. - Rodrigo César Pedrosa Silva; Rodolfo Ayala Lopes; Frederico Gadelha Guimarães (GECCO, 2011)

Evolution of Contours for Topology Optimization. - Gideon Avigad; Erella Matalon Eisenstadt; Shaul Salomon; Frederico Gadelha Guimarães (EVOLVE, 2012)

A General Approach for Adaptive Kernels in Semi-Supervised Clustering. - Sílvia Grasiella Moreira Almeida; Frederico Gualberto F. Coelho; Frederico Gadelha Guimarães; Antônio de Pádua Braga (IDEAL, 2012)

Differential Evolution and Perceptron Decision Trees for Classification Tasks. - Rodolfo Ayala Lopes; A. R. R. Freitas; Rodrigo César Pedrosa Silva; Frederico Gadelha Guimarães (IDEAL, 2012)

Automatic Evaluation Methods in Evolutionary Music: An Example with Bossa Melodies. - A. R. R. Freitas; Frederico G. Guimarães; Raonne Barbosa Barbosa (PPSN (2), 2012)

A Multi-agent Approach to the Adaptation of Migration Topology in Island Model Evolutionary Algorithms. - Rodolfo Ayala Lopes; Rodrigo César Pedrosa Silva; Felipe Campelo; Frederico G. Guimarães (SBRN, 2012)

Performance Comparison of Parameter Variation Operators in Self-Adaptive Differential Evolution Algorithms. - Rodrigo César Pedrosa Silva; Rodolfo Ayala Lopes; Alan R. R. de Freitas; Frederico G. Guimarães (SBRN, 2012)

Differential Evolution and Perceptron Decision Trees for Fault Detection in Power Transformers. - A. R. R. Freitas; Rodrigo César Pedrosa Silva; Frederico G. Guimarães (SOCO, 2012)

Genetic Algorithms Applied to Reverse Distribution Networks. - A. R. R. Freitas; V. M. R. Silva; Frederico G. Guimarães; Felipe Campelo (SOCO, 2012)

Multi-Objective Differential Evolution on the GPU with C-CUDA. - Fernando Bernardes de Oliveira; Donald Davendra; Frederico Gadelha Guimarães (SOCO, 2012)

A fuzzy genetic algorithm for automatic orthogonal graph drawing. - Bernadete Maria de Mendonça Neta; Gustavo Henrique Diniz Araújo; Frederico G. Guimarães; Renato Cardoso Mesquita; Petr Yakovlevitch Ekel (Appl. Soft Comput., 2012)

Multi-objective approaches for the open-pit mining operational planning problem. - Vitor Nazário Coelho; Marcone J. F. Souza; Igor Machado Coelho; Frederico G. Guimarães; Thibaut Lust; R. C. Cruz (Electron. Notes Discret. Math., 2012)

An evolutionary multi-agent system for database query optimization. - Frederico A. C. A. Gonçalves; Frederico G. Guimarães; Marcone J. F. Souza (GECCO, 2013)

Dynamic selection of migration flows in island model differential evolution. - Rodolfo Ayala Lopes; Rodrigo César Pedrosa Silva; Felipe Campelo; Frederico G. Guimarães (GECCO (Companion), 2013)

A Non-parametric Harmony-Based Objective Reduction Method for Many-Objective Optimization. - Alan R. R. de Freitas; Peter J. Fleming; Frederico G. Guimarães (SMC, 2013)

A Parallel Hybrid Genetic Algorithm on Cloud Computing for the Vehicle Routing Problem with Time Windows. - André Siqueira Ruela; Frederico Gadelha Guimarães; Ricardo Augusto Rabelo Oliveira; Brayan Neves; Vicente Peixoto Amorim; Larissa Maiara Fraga (SMC, 2013)

Flow Shop Scheduling Using a General Approach for Differential Evolution. - Frederico Gadelha Guimarães; Rodrigo César Pedrosa Silva; Ricardo Sérgio Prado; Oriane Magela Neto; Donald Davendra (Handbook of Optimization, 2013)

GoldMiner: A genetic programming based algorithm applied to Brazilian Stock Market. - Alexandre Pimenta; Frederico Gadelha Guimarães; Eduardo G. Carrano; Ciniro Aparecido Leite Nametala; Ricardo H. C. Takahashi (CIDM, 2014)

A heuristic fuzzy algorithm bio-inspired by Evolution Strategies for energy forecasting problems. - Vitor Nazário Coelho; Frederico G. Guimarães; Agnaldo J. Rocha Reis; Igor Machado Coelho; Bruno N. Coelho; Marcone J. F. Souza (FUZZ-IEEE, 2014)

On the visualization of trade-offs and reducibility in many-objective optimization. - Alan R. R. de Freitas; Rodrigo C. P. Silva; Frederico G. Guimarães (GECCO (Companion), 2014)

A study on the configuration of migratory flows in island model differential evolution. - Rodolfo Ayala Lopes; Rodrigo César Pedrosa Silva; Alan R. R. de Freitas; Felipe Campelo; Frederico G. Guimarães (GECCO (Companion), 2014)

Coevolutionary Procedural Generation of Battle Formations in Massively Multiplayer Online Strategy Games. - André Siqueira Ruela; Frederico Gadelha Guimarães (SBGames, 2014)

A study on self-configuration in the differential evolution algorithm. - Rodrigo C. P. Silva; Rodolfo Ayala Lopes; Alan R. R. de Freitas; Frederico G. Guimarães (SDE, 2014)

Differential evolution using ancestor tree for service restoration in power distribution systems. - Ricardo S. Prado; Rodrigo César Pedrosa Silva; Oriane M. Neto; Frederico G. Guimarães; Danilo Sipoli Sanches; João Bosco A. London Jr.; Alexandre C. B. Delbem (Appl. Soft Comput., 2014)

Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors. - Sílvia Grasiella Moreira Almeida; Frederico Gadelha Guimarães; Jaime Arturo Ramírez (Expert Syst. Appl., 2014)

Query join ordering optimization with evolutionary multi-agent systems. - Frederico A. C. A. Gonçalves; Frederico G. Guimarães; Marcone J. F. Souza (Expert Syst. Appl., 2014)

Memetic self-adaptive evolution strategies applied to the maximum diversity problem. - Alan R. R. de Freitas; Frederico Gadelha Guimarães; Rodrigo César Pedrosa Silva; Marcone Jamilson Freitas Souza (Optim. Lett., 2014)

Optimizing two-level reverse distribution networks with hybrid memetic algorithms. - A. R. R. Freitas; V. M. R. Silva; Felipe Campelo; Frederico G. Guimarães (Optim. Lett., 2014)

Multi-objective Evolutionary Algorithm with Discrete Differential Mutation Operator for Service Restoration in Large-Scale Distribution Systems. - Danilo Sipoli Sanches; Telma Woerle de Lima; João Bosco A. London Jr.; Alexandre Cláudio Botazzo Delbem; Ricardo S. Prado; Frederico G. Guimarães (EMO (2), 2015)

A New Perspective on Channel Allocation in WLAN: Considering the Total Marginal Utility of the Connections for the Users. - Thiago Alcântara Luiz; Alan R. R. de Freitas; Frederico G. Guimarães (GECCO, 2015)

Aggregation Trees for visualization and dimension reduction in many-objective optimization. - Alan R. R. de Freitas; Peter J. Fleming; Frederico G. Guimarães (Inf. Sci., 2015)

Competitive coevolutionary algorithm for robust multi-objective optimization: The worst case minimization. - Ivan Reinaldo Meneghini; Frederico Gadelha Guimarães; António Gaspar-Cunha (CEC, 2016)

A hybrid evolutionary probabilistic forecasting model applied for rainfall and wind power forecast. - Guilherme G. Netto; Alexandre C. Barbosa; Mateus N. Coelho; Arthur R. L. Miranda; Vitor Nazário Coelho; Marcone J. F. Souza; Frederico G. Guimarães; Agnaldo J. Rocha Reis (EAIS, 2016)

A New Visualization Tool in Many-Objective Optimization Problems. - Roozbeh Haghnazar Koochaksaraei; Rasul Enayatifar; Frederico Gadelha Guimarães (HAIS, 2016)

An automatic calibration framework applied on a metaheuristic fuzzy model for the CIF competition. - Vitor Nazário Coelho; Igor Machado Coelho; Ivan Reinaldo Meneghini; Marcone J. F. Souza; Frederico G. Guimarães (IJCNN, 2016)

Very short-term solar forecasting using multi-agent system based on Extreme Learning Machines and data clustering. - Carlos A. Severiano; Frederico Gadelha Guimarães; Miri Weiss-Cohen (SSCI, 2016)

Interval forecasting with Fuzzy Time Series. - Petrônio C. L. Silva; Hossein Javedani Sadaei; Frederico Gadelha Guimarães (SSCI, 2016)

Multi-objective approach for robot motion planning in search tasks. - Kossar Jeddi Saravi; Reza Javanmard Alitappeh; Luciano C. A. Pimenta; Frederico G. Guimarães (Appl. Intell., 2016)

Hybrid Self-Adaptive Evolution Strategies Guided by Neighborhood Structures for Combinatorial Optimization Problems. - Vitor Nazário Coelho; Igor Machado Coelho; Marcone J. F. Souza; Thays A. Oliveira; Luciano Perdigão Cota; Matheus Nohra Haddad; Nenad Mladenovic; Rodrigo C. P. Silva; Frederico G. Guimarães (Evol. Comput., 2016)

A cooperative coevolutionary algorithm for the Multi-Depot Vehicle Routing Problem. - Fernando Bernardes de Oliveira; Rasul Enayatifar; Hossein Javedani Sadaei; Frederico Gadelha Guimarães; Jean-Yves Potvin (Expert Syst. Appl., 2016)

Erratum to "A cooperative coevolutionary algorithm for the Multi-Depot Vehicle Routing Problem [Expert Systems with Applications 43 (2015) 117-130]". - Fernando Bernardes de Oliveira; Rasul Enayatifar; Hossein Javedani Sadaei; Frederico Gadelha Guimarães; Jean-Yves Potvin (Expert Syst. Appl., 2016)

Stock market forecasting by using a hybrid model of exponential fuzzy time series. - Fatemeh Mirzaei Talarposhti; Hossein Javedani Sadaei; Rasul Enayatifar; Frederico Gadelha Guimarães; Maqsood Mahmud; Tayyebeh Eslami (Int. J. Approx. Reason., 2016)

Combining ARFIMA models and fuzzy time series for the forecast of long memory time series. - Hossein Javedani Sadaei; Rasul Enayatifar; Frederico Gadelha Guimarães; Maqsood Mahmud; Zakarya A. Alzamil (Neurocomputing, 2016)

An infeasibility certificate for nonlinear programming based on Pareto criticality condition. - Shakoor Muhammad; Vitor Nazário Coelho; Frederico Gadelha Guimarães; Ricardo H. C. Takahashi (Oper. Res. Lett., 2016)

An Adaptive Large Neighborhood Search with Learning Automata for the Unrelated Parallel Machine Scheduling Problem. - Luciano Perdigão Cota; Frederico Gadelha Guimarães; Fernando B. de Oliveira; Marcone Jamilson Freitas Souza (CEC, 2017)

Evolutionary method for weight vector generation in Multi-Objective Evolutionary Algorithms based on decomposition and aggregation. - Ivan Reinaldo Meneghini; Frederico Gadelha Guimarães (CEC, 2017)

Very short-term solar forecasting using fuzzy time series. - Carlos Alberto Severiano Junior; Petrônio C. L. Silva; Hossein Javedani Sadaei; Frederico Gadelha Guimarães (FUZZ-IEEE, 2017)

A hybrid SARFIMA-FTS model for time series prediction in smart grids. - Cidiney José da Silva; Frederico Gadelha Guimarães; Hossein Javedani Sadaei; Vitor Nazário Coelho (FUZZ-IEEE, 2017)

A multi-objective model for the green capacitated location-routing problem considering environmental impact. - Eliana M. Toro; John F. Franco; Mauricio Granada Echeverri; Frederico Gadelha Guimarães (Comput. Ind. Eng., 2017)

Generic Pareto local search metaheuristic for optimization of targeted offers in a bi-objective direct marketing campaign. - Vitor Nazário Coelho; Thays A. Oliveira; Igor Machado Coelho; Bruno N. Coelho; Peter J. Fleming; Frederico G. Guimarães; Helena Ramalhinho Dias Lourenço; Marcone J. F. Souza; El-Ghazali Talbi; Thibaut Lust (Comput. Oper. Res., 2017)

EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS. - Vitor Nazário Coelho; Igor Machado Coelho; Bruno N. Coelho; Marcone J. F. Souza; Frederico G. Guimarães; Eduardo José da S. Luz; Alexandre C. Barbosa; Mateus N. Coelho; Guilherme G. Netto; R. C. Costa; Alysson A. Pinto; A. de P. Figueiredo; et al. (Electron. Notes Discret. Math., 2017)

Short-term load forecasting method based on fuzzy time series, seasonality and long memory process. - Hossein Javedani Sadaei; Frederico Gadelha Guimarães; Cidiney José da Silva; Muhammad Hisyam Lee; Tayyebeh Eslami (Int. J. Approx. Reason., 2017)

A new visualization method in many-objective optimization with chord diagram and angular mapping. - Roozbeh Haghnazar Koochaksaraei; Ivan Reinaldo Meneghini; Vitor Nazário Coelho; Frederico Gadelha Guimarães (Knowl. Based Syst., 2017)

Multi-objective multi-robot deployment in a dynamic environment. - Reza Javanmard Alitappeh; Kossar Jeddi Saravi; Frederico G. Guimarães (Soft Comput., 2017)

Procedural generation of non-player characters in massively multiplayer online strategy games. - André Siqueira Ruela; Frederico Gadelha Guimarães (Soft Comput., 2017)

Robust Design with Surrogate-Assisted Evolutionary Algorithm: Does It Work? - Rodrigo C. P. Silva; Min Li; Vahid Ghorbanian; Frederico G. Guimarães; David A. Lowther (BIOMA, 2018)

Information to the Eye of the Beholder: Data Visualization for Many-Objective Optimization. - Ivan Reinaldo Meneghini; Roozbeh Haghnazar Koochaksaraei; Frederico G. Guimarães; António Gaspar-Cunha (CEC, 2018)

An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series. - Marcos Antonio Alves; Petrônio Cândido de Lima e Silva; Carlos Alberto Severiano Junior; Gustavo Linhares Vieira; Frederico Gadelha Guimarães; Hossein Javedani Sadaei (ESANN, 2018)

Less Is More: The Neighborhood Guided Evolution Strategies Convergence on Some Classic Neighborhood Operators. - Vitor Nazário Coelho; Igor Machado Coelho; Nenad Mladenovic; Helena Ramalhinho; Luiz Satoru Ochi; Frederico G. Guimarães; Marcone J. F. Souza (ICVNS, 2018)

A Distributed Algorithm for Scalable Fuzzy Time Series. - Petrônio Cândido de Lima e Silva; Patrícia de Oliveira e Lucas; Frederico Gadelha Guimarães (GPC, 2019)

An adaptive multi-objective algorithm based on decomposition and large neighborhood search for a green machine scheduling problem. - Luciano Perdigão Cota; Frederico G. Guimarães; Roberto G. Ribeiro; Ivan Reinaldo Meneghini; Fernando B. de Oliveira; Marcone J. F. Souza; Patrick Siarry (Swarm Evol. Comput., 2019)

Applying Genetic Programming to Improve Interpretability in Machine Learning Models. - Leonardo Augusto Ferreira; Frederico Gadelha Guimarães; Rodrigo Silva 001 (CEC, 2020)

Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps. - Omid Orang; Rodrigo Silva 001; Petrônio Cândido de Lima e Silva; Frederico Gadelha Guimarães (FUZZ-IEEE, 2020)

Scalable and customizable benchmark problems for many-objective optimization. - Ivan Reinaldo Meneghini; Marcos Antonio Alves; António Gaspar-Cunha; Frederico Gadelha Guimarães (Appl. Soft Comput., 2020)

Forecasting in non-stationary environments with fuzzy time series. - Petrônio Cândido de Lima e Silva; Carlos Alberto Severiano Junior; Marcos Antonio Alves; Rodrigo Silva 001; Miri Weiss-Cohen; Frederico Gadelha Guimarães (Appl. Soft Comput., 2020)

Reference evapotranspiration time series forecasting with ensemble of convolutional neural networks. - Patrícia de Oliveira e Lucas; Marcos Antonio Alves; Petrônio Cândido de Lima e Silva; Frederico Gadelha Guimarães (Comput. Electron. Agric., 2020)

COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions. - Petrônio C. L. Silva; Paulo V. C. Batista; Helder Seixas Lima; Marcos Antonio Alves; Frederico G. Guimarães; Rodrigo C. P. Silva (CoRR, 2020)

The Cone epsilon-Dominance: An Approach for Evolutionary Multiobjective Optimization. - Lucas S. Batista; Felipe Campelo; Frederico G. Guimarães; Jaime A. Ramírez (CoRR, 2020)

Evolving clustering algorithm based on mixture of typicalities for stream data mining. - José Maia; Carlos Alberto Severiano Junior; Frederico Gadelha Guimarães; Cristiano Leite Castro; André Paim Lemos; Juan Camilo Fonseca Galindo; Miri Weiss-Cohen (Future Gener. Comput. Syst., 2020)

Automatic System for Visual Detection of Dirt Buildup on Conveyor Belts Using Convolutional Neural Networks. - André A. Santos; Filipe A. S. Rocha; Agnaldo J. da R. Reis; Frederico G. Guimarães (Sensors, 2020)

Probabilistic Forecasting With Fuzzy Time Series. - Petrônio Cândido de Lima e Silva; Hossein Javedani Sadaei; Rosangela Ballini; Frederico Gadelha Guimarães (IEEE Trans. Fuzzy Syst., 2020)

Unmanned Aerial Vehicle Location Routing Problem With Charging Stations for Belt Conveyor Inspection System in the Mining Industry. - Roberto G. Ribeiro; José R. C. Júnior; Luciano Perdigão Cota; Thiago Antonio M. Euzébio; Frederico G. Guimarães (IEEE Trans. Intell. Transp. Syst., 2020)

Distributed Evolutionary Hyperparameter Optimization for Fuzzy Time Series. - Petrônio C. L. Silva; Patrícia de Oliveira e Lucas; Hossein Javedani Sadaei; Frederico Gadelha Guimarães (IEEE Trans. Netw. Serv. Manag., 2020)

Dirt Buildup on Belt Conveyor Structures. - André A. Santos; Filipe Augusto Santos Rocha; Agnaldo J. da R. Reis; Frederico Gadelha Guimarães (IEEE DataPort, 2020)

Aggregation of Sentiment Analysis Index with Hesitant Fuzzy Sets for Financial Time Series Forecasting. - Breno Costa Dolabela Dias; Hossein Javedani Sadaei; Petrônio Cândido de Lima e Silva; Frederico Gadelha Guimarães (AIIoT, 2021)

Local Neighborhood-Based Adaptation of Weights in Multi-Objective Evolutionary Algorithms Based on Decomposition. - Paulo Pinheiro Junqueira; Ivan Reinaldo Meneghini; Frederico Gadelha Guimarães (CEC, 2021)

Self-Organised Direction Aware Data Partitioning for Type-2 Fuzzy Time Series Prediction. - Arthur Caio Vargas Pinto; Petrônio C. L. Silva; Frederico G. Guimarães; Christian Wagner 002; Eduardo P. de Aguiar (FUZZ-IEEE, 2021)

High-dimensional Multivariate Time Series Forecasting using Self-Organizing Maps and Fuzzy Time Series. - Matheus Cascalho dos Santos; Frederico Gadelha Guimarães; Petrônio Cândido de Lima e Silva (FUZZ-IEEE, 2021)

A C4.5 Fuzzy Decision Tree Method for Multivariate Time Series Forecasting. - Rafael R. C. Silva; Walmir Matos Caminhas; Petrônio Cândido de Lima e Silva; Frederico Gadelha Guimarães (FUZZ-IEEE, 2021)

High-dimensional Multivariate Time Series Forecasting in IoT Applications using Embedding Non-stationary Fuzzy Time Series. - Hugo Vinicius Bitencourt; Frederico Gadelha Guimarães (LA-CCI, 2021)

Fuzzy Decision Support System for the Calibration of Laboratory-Scale Mill Press Parameters. - Gabriel D. Lott; Moisés T. da Silva; Luciano Perdigão Cota; Frederico G. Guimarães; Thiago Antonio M. Euzébio (IEEE Access, 2021)

Automated Monitoring of Construction Sites of Electric Power Substations Using Deep Learning. - Bruno Alberto Soares Oliveira; Abílio Pereira De Faria Neto; Roberto Márcio Arruda Fernandino; Rogério Fernandes Carvalho; Amanda Lopes Fernandes; Frederico Gadelha Guimarães (IEEE Access, 2021)

Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs. - Marcos Antonio Alves; Giulia Zanon Castro; Bruno Alberto Soares Oliveira; Leonardo Augusto Ferreira; Jaime Arturo Ramírez; Rodrigo Silva 001; Frederico Gadelha Guimarães (Comput. Biol. Medicine, 2021)

Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications. - Hugo Vinicius Bitencourt; Luiz Augusto Facury de Souza; Matheus Cascalho dos Santos; Petrônio Cândido de Lima e Silva; Frederico Gadelha Guimarães (CoRR, 2021)

Bi-criteria formulation for green scheduling with unrelated parallel machines with sequence-dependent setup times. - Luciano Perdigão Cota; Vitor Nazário Coelho; Frederico G. Guimarães; Marcone J. F. Souza (Int. Trans. Oper. Res., 2021)

Development and validation of a Brazilian sign language database for human gesture recognition. - Tamires Martins Rezende; Sílvia Grasiella Moreira Almeida; Frederico Gadelha Guimarães (Neural Comput. Appl., 2021)

Automatic Rule Generation for Cellular Automata Using Fuzzy Times Series Methods. - Lucas Malacarne Astore; Frederico Gadelha Guimarães; Carlos Alberto Severiano Junior (BRACIS (1), 2022)

Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting. - Omid Orang; Petrônio Cândido de Lima e Silva; Frederico Gadelha Guimarães (CoRR, 2022)

Multi-objective Iterated Local Search based on decomposition for job scheduling problems with machine deterioration effect. - Vívian Ludimila Aguiar Santos; Thales Francisco Mota Carvalho; Luciana Pereira de Assis; Miri Weiss-Cohen; Frederico Gadelha Guimarães (Eng. Appl. Artif. Intell., 2022)

Interval type-2 fuzzy set based time series forecasting using a data-driven partitioning approach. - Arthur Caio Vargas Pinto; Thiago E. Fernandes; Petrônio C. L. Silva; Frederico G. Guimarães; Christian Wagner 002; Eduardo Pestana de Aguiar (Evol. Syst., 2022)

Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications. - Omid Orang; Petrônio Cândido de Lima e Silva; Rodrigo Silva 001; Frederico Gadelha Guimarães (Neurocomputing, 2022)

Automated diagnosis of schistosomiasis by using faster R-CNN for egg detection in microscopy images prepared by the Kato-Katz technique. - Bruno Alberto Soares Oliveira; João Marcelo Peixoto Moreira; Paulo Ricardo Silva Coelho; Deborah Aparecida Negrão-Corrêa; Stefan Michael Geiger; Frederico Gadelha Guimarães (Neural Comput. Appl., 2022)

Multi-objective evolutionary algorithm based on decomposition with an external archive and local-neighborhood based adaptation of weights. - Paulo Pinheiro Junqueira; Ivan Reinaldo Meneghini; Frederico Gadelha Guimarães (Swarm Evol. Comput., 2022)

Unmanned-Aerial-Vehicle Routing Problem With Mobile Charging Stations for Assisting Search and Rescue Missions in Postdisaster Scenarios. - Roberto G. Ribeiro; Luciano Perdigão Cota; Thiago Antonio M. Euzébio; Jaime A. Ramírez; Frederico G. Guimarães (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Assessment of Robust Multi-objective Evolutionary Algorithms on Robust and Noisy Environments. - Mateus Clemente de Sousa; Ivan Reinaldo Meneghini; Frederico Gadelha Guimarães (BRACIS (3), 2023)

An Autonomous Mobile Robot Path Planner using Spline Curves and Differential Evolution. - Elias José De Rezende Freitas; Miri Weiss-Cohen; Frederico Gadelha Guimarães (LA-CCI, 2023)

Time series forecasting using fuzzy cognitive maps: a survey. - Omid Orang; Petrônio Cândido de Lima e Silva; Frederico Gadelha Guimarães (Artif. Intell. Rev., 2023)

Combining genetic local search into a multi-population Imperialist Competitive Algorithm for the Capacitated Vehicle Routing Problem. - Babak Rezaei; Frederico Gadelha Guimarães; Rasul Enayatifar; Pauline C. Haddow (Appl. Soft Comput., 2023)

Automatic translation of sign language with multi-stream 3D CNN and generation of artificial depth maps. - Giulia Zanon Castro; Rúbia Reis Guerra; Frederico Gadelha Guimarães (Expert Syst. Appl., 2023)

An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications. - Hugo Vinicius Bitencourt; Omid Orang; Luiz Augusto Facury de Souza; Petrônio C. L. Silva; Frederico Gadelha Guimarães (Neural Comput. Appl., 2023)

CML-Cardio: a cascade machine learning model to predict cardiovascular disease risk as a primary prevention strategy. - Bruno Alberto Soares Oliveira; Giulia Zanon Castro; Giovanna Luiza Medina Ferreira; Frederico Gadelha Guimarães (Medical Biol. Eng. Comput., 2023)

Traffic Forecasting Using Federated Randomized High-Order Fuzzy Cognitive Maps. - Omid Orang; Felipe A. R. da Silva; Petrônio C. L. Silva; Pedro H. S. S. Barros; Heitor S. Ramos; Frederico G. Guimarães (BRACIS (2), 2024)

A Large Reservoir Computing Forecasting Method Based on Randomized Fuzzy Cognitive Maps. - Omid Orang; Fabricio Javier Erazo-Costa; Petrônio C. L. Silva; Guilherme de Alencar Barreto; Frederico Gadelha Guimarães (EAIS, 2024)

A weighted multivariate fuzzy time series method for multiple output high-dimensional time series forecasting in IoT applications. - Hugo Vinicius Bitencourt; Patrícia de Oliveira e Lucas; Omid Orang; Petrônio C. L. Silva; Frederico Gadelha Guimarães (LA-CCI, 2024)

Adaptive Resource Management in Software-Defined Networks for IoT Ecosystems. - Okwudili Mathew Ugochukwu; Muhammad Shoaib Ayub; Pablo Adasme; Renata Lopes Rosa; Demóstenes Zegarra Rodríguez; Muhammad Saadi; Frederico Gadelha Guimarães (SoftCOM, 2024)

Online path planning for kinematic-constrained UAVs in a dynamic environment based on a Differential Evolution algorithm. - Elias José De Rezende Freitas; Miri Weiss-Cohen; Frederico G. Guimarães; Luciano C. A. Pimenta (CoRR, 2024)

A clustering-based coevolutionary multi-objective evolutionary algorithm for handling robust and noisy optimization. - Mateus Clemente de Sousa; Ivan Reinaldo Meneghini; Frederico Gadelha Guimarães (Evol. Intell., 2024)

DE3D-NURBS: A differential evolution-based 3D path-planner integrating kinematic constraints and obstacle avoidance. - Elias José De Rezende Freitas; Miri Weiss-Cohen; Armando Alves Neto; Frederico Gadelha Guimarães; Luciano C. A. Pimenta (Knowl. Based Syst., 2024)

Automated construction management platform with image analysis using deep learning neural networks. - Bruno Alberto Soares Oliveira; Abílio Pereira De Faria Neto; Roberto Márcio Arruda Fernandino; Rogério Fernandes Carvalho; Tan Bo; Frederico Gadelha Guimarães (Multim. Tools Appl., 2024)

Autonomous data partitioning for type-2 fuzzy set based time series. - Arthur Caio Vargas Pinto; Larissa C. C. da Silva; Petrônio C. L. Silva; Frederico G. Guimarães; Eduardo P. de Aguiar (Evol. Syst., 2024)

Navigating Market Sentiments: A Novel Approach to Iron Ore Price Forecasting with Weighted Fuzzy Time Series. - Flavio Mauricio da Cunha Souza; Geraldo Pereira Rocha Filho; Frederico Gadelha Guimarães; Rodolfo I. Meneguette; Gustavo Pessin (Inf., 2024)

A Fuzzy-Probabilistic Representation Learning Method for Time Series Classification. - Fabricio Javier Erazo-Costa; Petrônio C. L. Silva; Frederico Gadelha Guimarães (IEEE Trans. Fuzzy Syst., 2024)

Exploring dynamic population Island genetic algorithm for solving the capacitated vehicle routing problem. - Babak Rezaei; Frederico Gadelha Guimarães; Rasul Enayatifar; Pauline C. Haddow (Memetic Comput., 2024)

Multiple-Input-Multiple-Output Randomized Fuzzy Cognitive Map Method for High-Dimensional Time Series Forecasting. - Omid Orang; Hugo Vinicius Bitencourt; Luiz Augusto Facury de Souza; Patrícia de Oliveira e Lucas; Petrônio C. L. Silva; Frederico Gadelha Guimarães (IEEE Trans. Fuzzy Syst., 2024)

A New Data-Driven Interval Type-2 Fuzzy Forecasting Approach for Load Forecasting. - Arthur Caio Vargas Pinto; Omid Orang; Frederico Gadelha Guimarães; Eduardo Pestana de Aguiar (FUZZ, 2025)

Driver Maneuver Classification Based on Multivariate Fuzzy Time Series. - Petrônio C. L. Silva; Omid Orang; Felipe Augusto Rocha da Silva; Pedro H. S. S. Barros; Heitor S. Ramos; Frederico Gadelha Guimarães (FUZZ, 2025)

Deliberative Control-Aware Motion Planning for Kinematic-Constrained UAVs in a Dynamic Environment. - Elias J. R. Freitas; Arthur Da C. Vangasse; Miri Weiss-Cohen; Frederico G. Guimarães; Luciano C. A. Pimenta (ICRA, 2025)

CAFiKS: Communication-Aware Federated IDS With Knowledge Sharing for Secure IoT Connectivity. - Ogobuchi Daniel Okey; Demóstenes Zegarra Rodríguez; Frederico Gadelha Guimarães; João Henrique Kleinschmidt (IEEE Access, 2025)

Time Series Classification Using Federated Convolutional Neural Networks and Image-Based Representations. - Felipe A. R. da Silva; Omid Orang; Fabricio Javier Erazo-Costa; Petrônio C. L. Silva; Pedro H. S. S. Barros; Ricardo Poley Martins Ferreira; Frederico Gadelha Guimarães (IEEE Access, 2025)

Automated machine learning based on decomposition, causality and evolutionary multitask optimization for time series forecasting. - Patrícia de Oliveira e Lucas; Frederico Gadelha Guimarães; Eduardo M. A. M. Mendes (Neurocomputing, 2025)

NetCodeAIoT: Enhancing Augmented Intelligence of Things for Vehicle Systems in 5G Networks. - Okwudili Mathew Ugochukwu; Renata Lopes Rosa; Muhammad Saadi; Demóstenes Z. Rodríguez; Frederico Gadelha Guimarães (IEEE Open J. Commun. Soc., 2025)

A Multistep Multivariate Fuzzy-Based Time-Series Forecasting on Internet of Things Data. - Hugo Vinicius Bitencourt; Patrícia de Oliveira e Lucas; Omid Orang; Petrônio C. L. Silva; Frederico Gadelha Guimarães (IEEE Internet Things J., 2025)

Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting. - Omid Orang; Patrícia de Oliveira e Lucas; Gabriel I. F. Paiva; Petrônio C. L. Silva; Felipe Augusto Rocha da Silva; Adriano Alonso Veloso; Frederico Gadelha Guimarães (CoRR, 2025)