Mining Comprehensible Rules from Data with an Ant Colony Algorithm. - Rafael S. Parpinelli; Heitor S. Lopes; Alex Alves Freitas (SBIA, 2002)

Data mining with an ant colony optimization algorithm. - Rafael S. Parpinelli; Heitor S. Lopes; Alex Alves Freitas (IEEE Trans. Evol. Comput., 2002)

Classification-Rule Discovery with an Ant Colony Algorithm. - Rafael S. Parpinelli; Heitor Silvério Lopes; Alex Alves Freitas (Encyclopedia of Information Science and Technology (I), 2005)

Building a navigational environment for autonomous agents with reinforcement learning. - Vinicius Oliverio; Claudio Cesar de Sá; Rafael S. Parpinelli (IADIS AC (2), 2009)

An eco-inspired evolutionary algorithm applied to numerical optimization. - Rafael S. Parpinelli; Heitor Silvério Lopes (NaBIC, 2011)

New inspirations in swarm intelligence: a survey. - Rafael S. Parpinelli; Heitor S. Lopes (Int. J. Bio Inspired Comput., 2011)

A Hierarchical Clustering Strategy to Improve the Biological Plausibility of an Ecology-Based Evolutionary Algorithm. - Rafael Stubs Parpinelli; Heitor Silvério Lopes (IBERAMIA, 2012)

Population Resizing Using Nonlinear Dynamics in an Ecology-Based Approach. - Rafael Stubs Parpinelli; Heitor Silvério Lopes (IDEAL, 2012)

An Ecology-Based Heterogeneous Approach for Cooperative Search. - Rafael Stubs Parpinelli; Heitor Silvério Lopes (SBIA, 2012)

Parallelism, hybridism and coevolution in a multi-level ABC-GA approach for the protein structure prediction problem. - César Manuel Vargas Benítez; Rafael Stubs Parpinelli; Heitor Silvério Lopes (Concurr. Comput. Pract. Exp., 2012)

Biological plausibility in optimisation: an ecosystemic view. - Rafael S. Parpinelli; Heitor S. Lopes (Int. J. Bio Inspired Comput., 2012)

An Ecology-Based Evolutionary Algorithm Applied to the 2D-AB Off-Lattice Protein Structure Prediction Problem. - Rafael Stubs Parpinelli; Heitor Silvério Lopes (BRACIS, 2013)

Uma visão ecossistêmica para o desenvolvimento de sistemas de otimização biologicamente plausíveis. - Rafael Stubs Parpinelli (2013)

A Binary Differential Evolution with Adaptive Parameters Applied to the Multiple Knapsack Problem. - Leanderson André; Rafael Stubs Parpinelli (MICAI (2), 2014)

A Pattern Recognition System for Detecting Use of Mobile Phones While Driving. - Rafael A. Berri; Alexandre Gonçalves Silva; Rafael S. Parpinelli; Elaine Girardi; Rangel Arthur (VISAPP (2), 2014)

Bézier Curve Parametrization Using a Multiobjective Evolutionary Algorithm. - Allan Yoshio Hasegawa; Camila Tormena; Rafael Stubs Parpinelli (Int. J. Comput. Sci. Appl., 2014)

Population-based harmony search using GPU applied to protein structure prediction. - Marlon Scalabrin; Rafael S. Parpinelli; César Manuel Vargas Benítez; Heitor S. Lopes (Int. J. Comput. Sci. Eng., 2014)

Performance Analysis of Swarm Intelligence Algorithms for the 3D-AB off-lattice Protein Folding Problem. - Rafael Stubs Parpinelli; Cesar M. V. Benitiez; Jelson Cordeiro; Heitor Silvério Lopes (J. Multiple Valued Log. Soft Comput., 2014)

Tutorial Sobre o Uso de Técnicas para Controle de Parâmetros em Algoritmos de Inteligência de Enxame e Computação Evolutiva. - Leanderson André; Rafael Stubs Parpinelli (RITA, 2014)

A computational ecosystem for optimization: review and perspectives for future research. - Rafael Stubs Parpinelli; Heitor Silvério Lopes (Memetic Comput., 2015)

The Multiple Knapsack Problem Approached by a Binary Differential Evolution Algorithm with Adaptive Parameters. - Leanderson André; Rafael Stubs Parpinelli (Polibits, 2015)

A Pareto-Based Symbiotic Relationships Model for Unconstrained Continuous Optimization. - Leanderson André; Rafael Stubs Parpinelli (BRACIS, 2016)

An Ecologically-inspired Parallel Approach Applied to the Protein Structure Reconstruction from Contact Maps. - César Manuel Vargas Benítez; Rafael Stubs Parpinelli; Heitor Silvério Lopes (GECCO (Companion), 2016)

A hybrid vision system for detecting use of mobile phones while driving. - Rafael A. Berri; Fernando Santos Osório; Rafael S. Parpinelli; Alexandre Gonçalves Silva (IJCNN, 2016)

Diversification Strategies in Differential Evolution Algorithm to Solve the Protein Structure Prediction Problem. - Pedro Henrique Narloch; Rafael Stubs Parpinelli (ISDA, 2016)

Análise da Qualidade de Diferentes Métricas para Agrupamento de Dados Utilizando Algoritmo Bio-Inspirado e Arquitetura MapReduce [Quality Analysis of Different Metrics for Data Clustering Using Bio-Inspired Algorithm and MapReduce Architecture]. - Sandro R. L. Menezes; Rafael Stubs Parpinelli (SBSI, 2016)

Mineração em Grandes Massas de Dados Utilizando Hadoop MapReduce e Algoritmos Bio-inspirados: Uma Revisão Sistemática. - Sandro Loiola Menezes; Rebeca Schroeder Freitas; Rafael Stubs Parpinelli (RITA, 2016)

The Protein Structure Prediction Problem Approached by a Cascade Differential Evolution Algorithm Using ROSETTA. - Pedro Henrique Narloch; Rafael Stubs Parpinelli (BRACIS, 2017)

Playing the Original Game Boy Tetris Using a Real Coded Genetic Algorithm. - Renan Samuel da Silva; Rafael Stubs Parpinelli (BRACIS, 2017)

Scheduling services for MANETs using genetic algorithms. - Marcelo Petri; Janine Kniess; Rafael Stubs Parpinelli (ICNC-FSKD, 2017)

An Evolutive Scoring Method for Cloud Computing Provider Selection Based on Performance Indicators. - Lucas Borges de Moraes; Adriano Fiorese; Rafael Stubs Parpinelli (MICAI (1), 2017)

Exploring Evolutive Methods for Cloud Provider Selection Based on Performance Indicators. - Lucas Borges de Moraes; Adriano Fiorese; Rafael Stubs Parpinelli (BRACIS, 2018)

A Face Recognition Framework for Illumination Compensation Based on Bio-Inspired Algorithms. - Guilherme Plichoski; Chidambaram Chidambaram; Rafael Stubs Parpinelli (BRACIS, 2018)

A MAX-MIN Ant System with Short-Term Memory Applied to the Dynamic and Asymmetric Traveling Salesman Problem. - João Pedro Schmitt; Fabiano Baldo; Rafael Stubs Parpinelli (BRACIS, 2018)

An Evolutive Hybrid Approach to Cloud Computing Provider Selection. - Lucas Borges de Moraes; Adriano Fiorese; Rafael Stubs Parpinelli (CEC, 2018)

Resource Scheduling for Mobility Scenarios with Time Constraints. - Marcelo Petri; Janine Kniess; Rafael Stubs Parpinelli (CLEI, 2018)

An Adjustable Face Recognition System for Illumination Compensation Based on Differential Evolution. - Guilherme Felippe Plichoski; Chidambaram Chidambaram; Rafael Stubs Parpinelli (CLEI, 2018)

An Efficiency Frontier based Model for Cloud Computing Provider Selection and Ranking. - Lucas Borges de Moraes; Pedro Cirne; Fernando Matos 001; Rafael Stubs Parpinelli; Adriano Fiorese (ICEIS (1), 2018)

An Energy Efficient Mesh LNN Routing Protocol Based on Ant Colony optimization. - Vinicius de Figueiredo Marques; Janine Kniess; Rafael Stubs Parpinelli (INDIN, 2018)

A GPU-Based jDE Algorithm Applied to Continuous Unconstrained Optimization. - Mateus Boiani; Gabriel Dominico; Rafael Stubs Parpinelli (ISDA (1), 2018)

A Self-adaptive Differential Evolution with Local Search Applied to Multimodal Optimization. - Gabriel Dominico; Mateus Boiani; Rafael Stubs Parpinelli (ISDA (1), 2018)

An Ant Colony-based Mesh Routing Protocol for Maximizing Low Power and Lossy Networks Lifetime. - Vinicius de Figueiredo Marques; Janine Kniess; Rafael Stubs Parpinelli (MobiWac, 2018)

Population-based variable neighbourhood search algorithm applied to unconstrained continuous optimisation. - Wesklei Migliorini; Rafael Stubs Parpinelli (Int. J. Bio Inspired Comput., 2018)

A GPU-Based Hybrid jDE Algorithm Applied to the 2D-AB Protein Structure Prediction Problem. - Mateus Boiani; Gabriel Dominico; Rafael Stubs Parpinelli (BRACIS, 2019)

Differential Evolution with Cluster-Based External Archive and Local Search for Multimodal Optimization. - Gabriel Dominico; Mateus Boiani; Rafael Stubs Parpinelli (BRACIS, 2019)

An Improved Evolutionary Hybrid Method for Cloud Provider Selection. - Lucas Borges de Moraes; Adriano Fiorese; Rafael Stubs Parpinelli (BRACIS, 2019)

A Self-adaptive Differential Evolution with Fragment Insertion for the Protein Structure Prediction Problem. - Renan Samuel da Silva; Rafael Stubs Parpinelli (HM, 2019)

Analysis of Max-Min Ant System with Local Search Applied to the Asymmetric and Dynamic Travelling Salesman Problem with Moving Vehicle. - João Pedro Schmitt; Rafael S. Parpinelli; Fabiano Baldo (SEA², 2019)

A review of techniques for online control of parameters in swarm intelligence and evolutionary computation algorithms. - Rafael Stubs Parpinelli; Guilherme Plichoski; Renan Samuel da Silva; Pedro Henrique Narloch (Int. J. Bio Inspired Comput., 2019)

Modelling IF Steels Using Artificial Neural Networks and Automated Machine Learning. - Douglas Macedo Sgrott; Fabricio Moreira Cerqueira; Fabiano J. F. Miranda; José Francisco S. Filho; Rafael S. Parpinelli (HIS, 2020)

Comparing Best and Quota Fragment Picker Protocols Applied to Protein Structure Prediction. - Nilcimar Neitzel Will; Rafael Stubs Parpinelli (HIS, 2020)

Artificial Neural Network Model for Steel Strip Tandem Cold Mill Power Prediction. - Danilo G. de Oliveira; Eliton M. da Silva; Fabiano J. F. Miranda; José Francisco S. Filho; Rafael S. Parpinelli (ICAI, 2020)

Multiple Face Recognition Using Self-adaptive Differential Evolution and ORB. - Guilherme Costa; Rafael Stubs Parpinelli; Chidambaram Chidambaram (ISDA, 2020)

A GPU-based hybrid jDE algorithm applied to the 3D-AB protein structure prediction. - Mateus Boiani; Rafael Stubs Parpinelli (Swarm Evol. Comput., 2020)

A Multi-objective Approach to the Protein Structure Prediction Problem using the Biased Random-Key Genetic Algorithm. - Felipe Marchi; Rafael Stubs Parpinelli (CEC, 2021)

An Energy-Efficient Bio-Scheduling Model For Emergency Networks. - Janine Kniess; Marcelo Petri; Rafael Stubs Parpinelli (WCNC, 2021)

Multiple global optima location using differential evolution, clustering, and local search. - Gabriel Dominico; Rafael Stubs Parpinelli (Appl. Soft Comput., 2021)

Meta-heuristic algorithms to truss optimization: Literature mapping and application. - Christopher Renkavieski; Rafael Stubs Parpinelli (Expert Syst. Appl., 2021)

A method to identify defensive assignments in team-based invasion sports using spatiotemporal trajectories. - Yoran E. Leichsenring; Rafael Stubs Parpinelli; Fabiano Baldo (Int. J. Geogr. Inf. Sci., 2021)

A face recognition framework based on a pool of techniques and differential evolution. - Guilherme Felippe Plichoski; Chidambaram Chidambaram; Rafael Stubs Parpinelli (Inf. Sci., 2021)

A Multi-population Schema Designed for Biased Random-Key Genetic Algorithms on Continuous Optimisation Problems. - Mateus Boiani; Rafael Stubs Parpinelli; Márcio Dorn (BRACIS (1), 2022)

Financial News Effect Analysis on Stock Price Prediction Using a Stacked LSTM Model. - Alexandre Heidein; Rafael Stubs Parpinelli (FedCSIS (Communication Papers), 2022)

A Multi-objective Cluster-based Biased Random-Key Genetic Algorithm with Online Parameter Control Applied to Protein Structure Prediction. - Felipe Marchi; Rafael Stubs Parpinelli (FedCSIS, 2022)

Fundus Eye Image Classification and Interpretation for Glaucoma Diagnosis. - Maísa Fernandes Gomes; Rafael Stubs Parpinelli (ISDA (1), 2022)

Cold Rolling Mill Energy Consumption Prediction Using Machine Learning. - Danilo G. de Oliveira; José Francisco S. Filho; Fabiano J. F. Miranda; Pedro H. Serpa; Rafael Stubs Parpinelli (ISDA (1), 2022)

Automotive Stamping Process Optimization Using Machine Learning and Multi-objective Evolutionary Algorithm. - Bernard da Silva; Ana Paula Athayde Carneiro; José Osvaldo Amaral Tepedino; José Francisco Silva Filho; Fabiano J. F. Miranda; Rafael Stubs Parpinelli (ISDA (1), 2022)

A systematic review on computer vision-based parking lot management applied on public datasets. - Paulo Ricardo Lisboa de Almeida; Jeovane Honório Alves; Rafael Stubs Parpinelli; Jean Paul Barddal (Expert Syst. Appl., 2022)

Application of deterministic, stochastic, and hybrid methods for cloud provider selection. - Lucas Borges de Moraes; Rafael Stubs Parpinelli; Adriano Fiorese (J. Cloud Comput., 2022)

A Fitness-Based Migration Policy for Biased Random-Key Genetic Algorithms. - Mateus Boiani; Rafael Stubs Parpinelli; Márcio Dorn (EvoApplications@EvoStar, 2023)

A massively parallel speciation-based differential evolution algorithm applied to the 3D-AB protein structure prediction. - Rafael Stubs Parpinelli; Mateus Boiani; André E. P. Dias (Concurr. Comput. Pract. Exp., 2023)

Protein Structure Prediction Using Dynamic Speciation Evolutionary Algorithm with Aggregated Problem Information. - Rafael Stubs Parpinelli; Nicholas Wojeicchowski; Nilcimar Neitzel Will (CIBCB, 2024)

A self-adaptive evolutionary algorithm using Monte Carlo Fragment insertion and conformation clustering for the protein structure prediction problem. - Rafael Stubs Parpinelli; Nilcimar Neitzel Will; Renan Samuel da Silva (Nat. Comput., 2024)

A Data-driven approach with reanalysis and geospatial data for chloride deposition prediction. - Thiago Brandenburg; Gustavo A. Fischer; Fabiano J. F. Miranda; José Francisco Silva Filho; Rafael Stubs Parpinelli (Earth Sci. Informatics, 2025)