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ORCIDLeonardo Ramos Rodrigues
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2020 – today
- 2024
[j13]Pedro A. Q. de Assis
, Leonardo Ramos Rodrigues, Roberto Kawakami Harrop Galvão, Rubens Junqueira Magalhães Afonso:
A genetic algorithm method for improving suboptimal sensor arrangements in coverage and connectivity problems. Appl. Soft Comput. 166: 112047 (2024)- [j12]Parijata Majumdar, Diptendu Bhattacharya, Sanjoy Mitra, Leonardo Ramos Rodrigues, Diego Oliva:
An improved binary grey wolf optimizer for constrained engineering design problems. Expert Syst. J. Knowl. Eng. 41(1) (2024) - 2023
- [j11]Leonardo Ramos Rodrigues:
A chaotic grey wolf optimizer for constrained optimization problems. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [j10]Leonardo Ramos Rodrigues:
Multi-population SOS algorithm for constrained optimisation problems applied to adaptive PID controller optimisation. Int. J. Bio Inspired Comput. 22(4): 185-194 (2023) - 2022
- [j9]Leonardo Ramos Rodrigues:
A hybrid multi-population metaheuristic applied to load-sharing optimization of gas compressor stations. Comput. Electr. Eng. 97: 107632 (2022) - 2021
- [c14]Leonardo Ramos Rodrigues:
A Maintenance Cost Optimization Strategy Based on Prognostics and Health Monitoring Information. ICPHM 2021: 1-7 - 2020
- [j8]Leonardo Ramos Rodrigues, Takashi Yoneyama:
A spare parts inventory control model based on Prognostics and Health monitoring data under a fill rate constraint. Comput. Ind. Eng. 148: 106724 (2020) - [c13]Daniel B. P. Coelho, Wlamir Olivares Loesch Vianna, Leonardo Ramos Rodrigues:
A Simulation-Based Approach to Multi-Item Multi-Echelon Spare Parts Inventory System optimization with Variable Warehouse Roles. CEC 2020: 1-8 - [c12]Arthur L. A. Paulino, Yuri Lenon Barbosa Nogueira, João P. P. Gomes, César L. C. Mattos, Leonardo Ramos Rodrigues:
On the Use of Cultural Enhancement Strategies to Improve the NEAT Algorithm. CEC 2020: 1-8 - [c11]Leonardo Ramos Rodrigues, Daniel B. P. Coelho, João Paulo Pordeus Gomes:
A Hybrid TLBO-Particle Filter Algorithm Applied to Remaining Useful Life Prediction in the Presence of Multiple Degradation Factors. CEC 2020: 1-8
2010 – 2019
- 2019
- [j7]Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes:
TLBO with variable weights applied to shop scheduling problems. CAAI Trans. Intell. Technol. 4(3): 148-158 (2019) - [j6]Diego P. P. Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues:
Artificial Neural Networks with Random Weights for Incomplete Datasets. Neural Process. Lett. 50(3): 2345-2372 (2019) - 2018
- [j5]Diego P. P. Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues, Saulo A. F. Oliveira, Roberto Kawakami Harrop Galvão:
Building selective ensembles of Randomization Based Neural Networks with the successive projections algorithm. Appl. Soft Comput. 70: 1135-1145 (2018) - [j4]Leonardo Ramos Rodrigues, João P. P. Gomes, João F. L. Alcântara:
Embedding Remaining Useful Life Predictions into a Modified Receding Horizon Task Assignment Algorithm to Solve Task Allocation Problems. J. Intell. Robotic Syst. 90(1-2): 133-145 (2018) - [j3]João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues, Bruno P. Leao, Roberto Kawakami Harrop Galvão, Takashi Yoneyama:
Using Degradation Messages to Predict Hydraulic System Failures in a Commercial Aircraft. IEEE Trans Autom. Sci. Eng. 15(1): 214-224 (2018) - [j2]Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes:
Spare Parts List Recommendations for Multiple-Component Redundant Systems Using a Modified Pareto Ant Colony Optimization Approach. IEEE Trans. Ind. Informatics 14(3): 1107-1114 (2018) - [c10]Diego Farias de Oliveira, Nykolas Mayko Maia Barbosa, Alisson Sampaio Carvalho de Alencar, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues:
Minimal Learning Machine for Interval-Valued Data. BRACIS 2018: 188-193 - [c9]Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes, Ajalmar R. da Rocha Neto, Amauri H. de Souza:
A Modified Symbiotic Organisms Search Algorithm Applied to Flow Shop Scheduling Problems. CEC 2018: 1-7 - 2016
- [c8]Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues:
Extreme Learning Machines for Datasets with Missing Values Using the Unscented Transform. BRACIS 2016: 85-90 - [c7]Diego P. P. Mesquita, João P. P. Gomes, Leonardo Ramos Rodrigues:
K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed Values. ESANN 2016 - [c6]Diego P. P. Mesquita, Antônio C. Araújo Neto, Jose Queiroz Neto, João P. P. Gomes, Leonardo Ramos Rodrigues:
Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness. ESANN 2016 - [c5]Wlamir Olivares Loesch Vianna, Leonardo Ramos Rodrigues, Takashi Yoneyama, David Issa Mattos:
Troubleshooting optimization using multi-start simulated annealing. SysCon 2016: 1-6 - 2015
- [j1]Leonardo Ramos Rodrigues, João P. P. Gomes, Felipe A. S. Ferri, Ivo Paixao de Medeiros, Roberto Kawakami Harrop Galvão, Cairo Lúcio Nascimento Júnior:
Use of PHM Information and System Architecture for Optimized Aircraft Maintenance Planning. IEEE Syst. J. 9(4): 1197-1207 (2015) - [c4]Leonardo Ramos Rodrigues, Ivo Paixao de Medeiros, Christian Strottmann Kern:
Maintenance cost optimization for multiple components using a condition based method. SysCon 2015: 164-169 - [c3]Ivo Paixao de Medeiros, Leonardo Ramos Rodrigues, Christian Strottmann Kern, Rafael Duarte Coelho dos Santos, Elcio Hideiti Shiguemori:
Integrated task assignment and maintenance recommendation based on system architecture and PHM information for UAVs. SysCon 2015: 182-188 - 2014
- [c2]Ivo Paixao de Medeiros, Leonardo Ramos Rodrigues, Rafael D. C. Santos, Elcio Hideiti Shiguemori, Cairo Lúcio Nascimento Júnior:
PHM-based Multi-UAV task assignment. SysCon 2014: 42-49 - 2013
- [c1]Felipe Augusto Sviaghin Ferri, Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes, Ivo Paixao de Medeiros, Roberto Kawakami Harrop Galvão, Cairo Lúcio Nascimento Júnior:
Combining PHM information and system architecture to support aircraft maintenance planning. SysCon 2013: 60-65
Coauthor Index
aka: João P. P. Gomes
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