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Rafael S. Parpinelli
Rafael Stubs Parpinelli
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2020 – today
- 2024
- [j22]Rafael Stubs Parpinelli
, Nilcimar Neitzel Will, Renan Samuel da Silva:
A self-adaptive evolutionary algorithm using Monte Carlo Fragment insertion and conformation clustering for the protein structure prediction problem. Nat. Comput. 23(4): 687-705 (2024) - [c48]Rafael Stubs Parpinelli, Nicholas Wojeicchowski, Nilcimar Neitzel Will:
Protein Structure Prediction Using Dynamic Speciation Evolutionary Algorithm with Aggregated Problem Information. CIBCB 2024: 1-8 - 2023
- [j21]Rafael Stubs Parpinelli
A massively parallel speciation-based differential evolution algorithm applied to the 3D-AB protein structure prediction. Concurr. Comput. Pract. Exp. 35(17) (2023) - [c47]Mateus Boiani
A Fitness-Based Migration Policy for Biased Random-Key Genetic Algorithms. EvoApplications@EvoStar 2023: 396-410 - 2022
- [j20]Paulo Ricardo Lisboa de Almeida
A systematic review on computer vision-based parking lot management applied on public datasets. Expert Syst. Appl. 198: 116731 (2022) - [j19]Lucas Borges de Moraes, Rafael Stubs Parpinelli, Adriano Fiorese
Application of deterministic, stochastic, and hybrid methods for cloud provider selection. J. Cloud Comput. 11: 5 (2022) - [c46]Mateus Boiani
A Multi-population Schema Designed for Biased Random-Key Genetic Algorithms on Continuous Optimisation Problems. BRACIS (1) 2022: 444-457 - [c45]Alexandre Heidein, Rafael Stubs Parpinelli:
Financial News Effect Analysis on Stock Price Prediction Using a Stacked LSTM Model. FedCSIS (Communication Papers) 2022: 233-240 - [c44]Felipe Marchi, Rafael Stubs Parpinelli:
A Multi-objective Cluster-based Biased Random-Key Genetic Algorithm with Online Parameter Control Applied to Protein Structure Prediction. FedCSIS 2022: 337-346 - [c43]Danilo G. de Oliveira, José Francisco S. Filho, Fabiano J. F. Miranda, Pedro H. Serpa, Rafael Stubs Parpinelli
Cold Rolling Mill Energy Consumption Prediction Using Machine Learning. ISDA (1) 2022: 142-151 - [c42]Bernard da Silva
Automotive Stamping Process Optimization Using Machine Learning and Multi-objective Evolutionary Algorithm. ISDA (1) 2022: 351-360 - [c41]Maísa Fernandes Gomes, Rafael Stubs Parpinelli
Fundus Eye Image Classification and Interpretation for Glaucoma Diagnosis. ISDA (1) 2022: 491-500 - [i2]Paulo Ricardo Lisboa de Almeida, Jeovane Honório Alves, Rafael Stubs Parpinelli, Jean Paul Barddal:
A Systematic Review on Computer Vision-Based Parking Lot Management Applied on Public Datasets. CoRR abs/2203.06463 (2022) - 2021
- [j18]Gabriel Dominico
Multiple global optima location using differential evolution, clustering, and local search. Appl. Soft Comput. 108: 107448 (2021) - [j17]Christopher Renkavieski
Meta-heuristic algorithms to truss optimization: Literature mapping and application. Expert Syst. Appl. 182: 115197 (2021) - [j16]Yoran E. Leichsenring
A method to identify defensive assignments in team-based invasion sports using spatiotemporal trajectories. Int. J. Geogr. Inf. Sci. 35(4): 741-762 (2021) - [j15]Guilherme Felippe Plichoski, Chidambaram Chidambaram, Rafael Stubs Parpinelli
A face recognition framework based on a pool of techniques and differential evolution. Inf. Sci. 543: 219-241 (2021) - [c40]Felipe Marchi, Rafael Stubs Parpinelli:
A Multi-objective Approach to the Protein Structure Prediction Problem using the Biased Random-Key Genetic Algorithm. CEC 2021: 1070-1077 - [c39]Janine Kniess, Marcelo Petri, Rafael Stubs Parpinelli:
An Energy-Efficient Bio-Scheduling Model For Emergency Networks. WCNC 2021: 1-6 - 2020
- [j14]Mateus Boiani
A GPU-based hybrid jDE algorithm applied to the 3D-AB protein structure prediction. Swarm Evol. Comput. 58: 100711 (2020) - [c38]Douglas Macedo Sgrott, Fabricio Moreira Cerqueira, Fabiano J. F. Miranda, José Francisco S. Filho, Rafael S. Parpinelli:
Modelling IF Steels Using Artificial Neural Networks and Automated Machine Learning. HIS 2020: 659-668 - [c37]Nilcimar Neitzel Will, Rafael Stubs Parpinelli:
Comparing Best and Quota Fragment Picker Protocols Applied to Protein Structure Prediction. HIS 2020: 669-678 - [c36]Danilo G. de Oliveira, Eliton M. da Silva, Fabiano J. F. Miranda, José Francisco S. Filho, Rafael S. Parpinelli:
Artificial Neural Network Model for Steel Strip Tandem Cold Mill Power Prediction. ICAI 2020: 29-42 - [c35]Guilherme Costa, Rafael Stubs Parpinelli, Chidambaram Chidambaram:
Multiple Face Recognition Using Self-adaptive Differential Evolution and ORB. ISDA 2020: 312-321
2010 – 2019
- 2019
- [j13]Rafael Stubs Parpinelli, Guilherme Plichoski, Renan Samuel da Silva, Pedro Henrique Narloch:
A review of techniques for online control of parameters in swarm intelligence and evolutionary computation algorithms. Int. J. Bio Inspired Comput. 13(1): 1-20 (2019) - [c34]Lucas Borges de Moraes, Adriano Fiorese, Rafael Stubs Parpinelli:
An Improved Evolutionary Hybrid Method for Cloud Provider Selection. BRACIS 2019: 24-29 - [c33]Mateus Boiani
A GPU-Based Hybrid jDE Algorithm Applied to the 2D-AB Protein Structure Prediction Problem. BRACIS 2019: 317-322 - [c32]Gabriel Dominico
Differential Evolution with Cluster-Based External Archive and Local Search for Multimodal Optimization. BRACIS 2019: 335-340 - [c31]Renan Samuel da Silva, Rafael Stubs Parpinelli
A Self-adaptive Differential Evolution with Fragment Insertion for the Protein Structure Prediction Problem. HM 2019: 136-149 - [c30]João Pedro Schmitt, Rafael S. Parpinelli, Fabiano Baldo:
Analysis of Max-Min Ant System with Local Search Applied to the Asymmetric and Dynamic Travelling Salesman Problem with Moving Vehicle. SEA² 2019: 202-218 - 2018
- [j12]Wesklei Migliorini, Rafael Stubs Parpinelli:
Population-based variable neighbourhood search algorithm applied to unconstrained continuous optimisation. Int. J. Bio Inspired Comput. 11(2): 73-80 (2018) - [c29]João Pedro Schmitt, Fabiano Baldo, Rafael Stubs Parpinelli:
A MAX-MIN Ant System with Short-Term Memory Applied to the Dynamic and Asymmetric Traveling Salesman Problem. BRACIS 2018: 1-6 - [c28]Lucas Borges de Moraes, Adriano Fiorese, Rafael Stubs Parpinelli:
Exploring Evolutive Methods for Cloud Provider Selection Based on Performance Indicators. BRACIS 2018: 157-162 - [c27]Guilherme Plichoski, Chidambaram Chidambaram, Rafael Stubs Parpinelli:
A Face Recognition Framework for Illumination Compensation Based on Bio-Inspired Algorithms. BRACIS 2018: 284-289 - [c26]Lucas Borges de Moraes, Adriano Fiorese, Rafael Stubs Parpinelli:
An Evolutive Hybrid Approach to Cloud Computing Provider Selection. CEC 2018: 1-8 - [c25]Marcelo Petri, Janine Kniess, Rafael Stubs Parpinelli:
Resource Scheduling for Mobility Scenarios with Time Constraints. CLEI 2018: 184-191 - [c24]Guilherme Felippe Plichoski, Chidambaram Chidambaram, Rafael Stubs Parpinelli:
An Adjustable Face Recognition System for Illumination Compensation Based on Differential Evolution. CLEI 2018: 234-241 - [c23]Lucas Borges de Moraes, Pedro Cirne, Fernando Matos, Rafael Stubs Parpinelli, Adriano Fiorese:
An Efficiency Frontier based Model for Cloud Computing Provider Selection and Ranking. ICEIS (1) 2018: 543-554 - [c22]Vinicius de Figueiredo Marques, Janine Kniess, Rafael Stubs Parpinelli:
An Energy Efficient Mesh LNN Routing Protocol Based on Ant Colony optimization. INDIN 2018: 43-48 - [c21]Mateus Boiani
A GPU-Based jDE Algorithm Applied to Continuous Unconstrained Optimization. ISDA (1) 2018: 912-922 - [c20]Gabriel Dominico, Mateus Boiani
A Self-adaptive Differential Evolution with Local Search Applied to Multimodal Optimization. ISDA (1) 2018: 1143-1153 - [c19]Vinicius de Figueiredo Marques, Janine Kniess, Rafael Stubs Parpinelli:
An Ant Colony-based Mesh Routing Protocol for Maximizing Low Power and Lossy Networks Lifetime. MobiWac 2018: 67-73 - 2017
- [c18]Renan Samuel da Silva, Rafael Stubs Parpinelli
Playing the Original Game Boy Tetris Using a Real Coded Genetic Algorithm. BRACIS 2017: 282-287 - [c17]Pedro Henrique Narloch, Rafael Stubs Parpinelli
The Protein Structure Prediction Problem Approached by a Cascade Differential Evolution Algorithm Using ROSETTA. BRACIS 2017: 294-299 - [c16]Marcelo Petri, Janine Kniess, Rafael Stubs Parpinelli
Scheduling services for MANETs using genetic algorithms. ICNC-FSKD 2017: 1045-1052 - [c15]Lucas Borges de Moraes, Adriano Fiorese, Rafael Stubs Parpinelli:
An Evolutive Scoring Method for Cloud Computing Provider Selection Based on Performance Indicators. MICAI (1) 2017: 82-94 - 2016
- [j11]Sandro Loiola Menezes, Rebeca Schroeder Freitas, Rafael Stubs Parpinelli:
Mineração em Grandes Massas de Dados Utilizando Hadoop MapReduce e Algoritmos Bio-inspirados: Uma Revisão Sistemática. RITA 23(1): 69-101 (2016) - [c14]Leanderson André, Rafael Stubs Parpinelli
A Pareto-Based Symbiotic Relationships Model for Unconstrained Continuous Optimization. BRACIS 2016: 325-330 - [c13]César Manuel Vargas Benítez
An Ecologically-inspired Parallel Approach Applied to the Protein Structure Reconstruction from Contact Maps. GECCO (Companion) 2016: 1299-1306 - [c12]Rafael A. Berri
A hybrid vision system for detecting use of mobile phones while driving. IJCNN 2016: 4601-4610 - [c11]Pedro Henrique Narloch, Rafael Stubs Parpinelli
Diversification Strategies in Differential Evolution Algorithm to Solve the Protein Structure Prediction Problem. ISDA 2016: 125-134 - [c10]Sandro R. L. Menezes, Rafael Stubs Parpinelli:
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]. SBSI 2016: 176-183 - 2015
- [j10]Rafael Stubs Parpinelli
A computational ecosystem for optimization: review and perspectives for future research. Memetic Comput. 7(1): 29-41 (2015) - [j9]Leanderson André, Rafael Stubs Parpinelli
The Multiple Knapsack Problem Approached by a Binary Differential Evolution Algorithm with Adaptive Parameters. Polibits 51: 47-54 (2015) - 2014
- [j8]Allan Yoshio Hasegawa, Camila Tormena, Rafael Stubs Parpinelli:
Bézier Curve Parametrization Using a Multiobjective Evolutionary Algorithm. Int. J. Comput. Sci. Appl. 11(2): 1-18 (2014) - [j7]Marlon Scalabrin, Rafael S. Parpinelli
Population-based harmony search using GPU applied to protein structure prediction. Int. J. Comput. Sci. Eng. 9(1/2): 106-118 (2014) - [j6]Rafael Stubs Parpinelli, Cesar M. V. Benitiez, Jelson Cordeiro, Heitor Silvério Lopes:
Performance Analysis of Swarm Intelligence Algorithms for the 3D-AB off-lattice Protein Folding Problem. J. Multiple Valued Log. Soft Comput. 22(3): 267-286 (2014) - [j5]Leanderson André, Rafael Stubs Parpinelli:
Tutorial Sobre o Uso de Técnicas para Controle de Parâmetros em Algoritmos de Inteligência de Enxame e Computação Evolutiva. RITA 21(2): 90-135 (2014) - [c9]Leanderson André, Rafael Stubs Parpinelli:
A Binary Differential Evolution with Adaptive Parameters Applied to the Multiple Knapsack Problem. MICAI (2) 2014: 61-71 - [c8]Rafael A. Berri, Alexandre Gonçalves Silva
A Pattern Recognition System for Detecting Use of Mobile Phones While Driving. VISAPP (2) 2014: 411-418 - [i1]Rafael A. Berri, Alexandre Gonçalves Silva, Rafael S. Parpinelli, Elaine Girardi, Rangel Arthur:
A Pattern Recognition System for Detecting Use of Mobile Phones While Driving. CoRR abs/1408.0680 (2014) - 2013
- [b1]Rafael Stubs Parpinelli:
Uma visão ecossistêmica para o desenvolvimento de sistemas de otimização biologicamente plausíveis. Federal University of Technology - Paraná, Brazil, 2013 - [c7]Rafael Stubs Parpinelli
An Ecology-Based Evolutionary Algorithm Applied to the 2D-AB Off-Lattice Protein Structure Prediction Problem. BRACIS 2013: 64-69 - 2012
- [j4]César Manuel Vargas Benítez
Parallelism, hybridism and coevolution in a multi-level ABC-GA approach for the protein structure prediction problem. Concurr. Comput. Pract. Exp. 24(6): 635-646 (2012) - [j3]Rafael S. Parpinelli
Biological plausibility in optimisation: an ecosystemic view. Int. J. Bio Inspired Comput. 4(6): 345-358 (2012) - [c6]Rafael Stubs Parpinelli
A Hierarchical Clustering Strategy to Improve the Biological Plausibility of an Ecology-Based Evolutionary Algorithm. IBERAMIA 2012: 310-319 - [c5]Rafael Stubs Parpinelli
Population Resizing Using Nonlinear Dynamics in an Ecology-Based Approach. IDEAL 2012: 27-34 - [c4]Rafael Stubs Parpinelli, Heitor Silvério Lopes:
An Ecology-Based Heterogeneous Approach for Cooperative Search. SBIA 2012: 212-221 - 2011
- [j2]Rafael S. Parpinelli
New inspirations in swarm intelligence: a survey. Int. J. Bio Inspired Comput. 3(1): 1-16 (2011) - [c3]Rafael S. Parpinelli
An eco-inspired evolutionary algorithm applied to numerical optimization. NaBIC 2011: 466-471
2000 – 2009
- 2009
- [c2]Vinicius Oliverio, Claudio Cesar de Sá, Rafael S. Parpinelli:
Building a navigational environment for autonomous agents with reinforcement learning. IADIS AC (2) 2009: 353-355 - 2005
- [r1]Rafael S. Parpinelli, Heitor Silvério Lopes, Alex Alves Freitas:
Classification-Rule Discovery with an Ant Colony Algorithm. Encyclopedia of Information Science and Technology (I) 2005: 420-424 - 2002
- [j1]Rafael S. Parpinelli
Data mining with an ant colony optimization algorithm. IEEE Trans. Evol. Comput. 6(4): 321-332 (2002) - [c1]Rafael S. Parpinelli, Heitor S. Lopes
Mining Comprehensible Rules from Data with an Ant Colony Algorithm. SBIA 2002: 259-269
Coauthor Index
Heitor Silvério Lopes
aka: Heitor S. Lopes
aka: Heitor S. Lopes
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