Jonas Lopes de Vilas Boas
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Jonas Lopes de Vilas Boas has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Antonio Marcos Alberti
University of Leeds
2 shared publications - Joel Jose Puga Coelho Rodrigues
Federal University of Piau (UFPI), Teresina - PI, Brazil
2 shared publications - Carlos Henrique Valério de Moraes
Institute of Systems Engineering and Information Technology, Federal University of Itajubá—UNIFEI, Itajubá 37500-903, MG, Brazil
1 shared publication - Claudio Inacio de Almeida Costa
R&D Department, Gnarus Institute, Itajuba 37500-052, MG, Brazil
1 shared publication - Germano Lambert-Torres
Gnarus Institute, Brasil
1 shared publication - Gilberto Capistrano Cunha de Andrade
Instituto Gnarus, Brasil
1 shared publication
Latest Publications
- Open Access
- 10 September 2025
- Published by Elsevier in Blockchain: Research and Applications
- Vol. 7 (6)
Coldnet: Vaccine logistics tracking by integrating the Internet of Things and smart contracts: An immutable and reliable approach
- 10 September 2025
- Published by Elsevier in Blockchain: Research and Applications
- Vol. 7 (6)
Open AccessColdnet: Vaccine logistics tracking by integrating the Internet of Things and smart contracts: An immutable and reliable approach
- Top Cited Papers
- 29 September 2022
- Published by Elsevier in Journal of Industrial Information Integration
- Vol. 31
Convergence of Distributed Ledger Technologies with Digital Twins, IoT, and AI for fresh food logistics: Challenges and opportunities
- 29 September 2022
- Published by Elsevier in Journal of Industrial Information Integration
- Vol. 31
Top Cited PapersConvergence of Distributed Ledger Technologies with Digital Twins, IoT, and AI for fresh food logistics: Challenges and opportunities
- Open Access
Intelligent Power Distribution Restoration Based on a Multi-Objective Bacterial Foraging Optimization Algorithm
The importance of power in society is indisputable. Virtually all economic activities depend on electricity. The electric power systems are complex, and move studies in different areas are motivated to make them more efficient and solve their operational problems. The smart grids emerged from this approach and aimed to improve the current systems and integrate electric power using alternative and renewable sources. Restoration techniques of these networks are being developed to reduce the impacts caused by the usual power supply interruptions due to failures in the distribution networks. This paper presents the development and evaluation of the performance of a multi-objective version of the Bacterial Foraging Optimization Algorithm for finding the minor handling switches that maximize the number of buses served, keeping the configuration radial system and within the limits of current in the conductors and bus voltage. An electrical system model was created, and routines were implemented for the network verification, which was used as a function of the Multi-Objective Bacterial Foraging Optimization Hybrid Algorithm. The proposed method has been applied in two distribution systems with 70 buses and 201 buses, respectively, and the algorithm’s effectiveness to solve the restoration problem is discussed.
Open AccessIntelligent Power Distribution Restoration Based on a Multi-Objective Bacterial Foraging Optimization Algorithm
The importance of power in society is indisputable. Virtually all economic activities depend on electricity. The electric power systems are complex, and move studies in different areas are motivated to make them more efficient and solve their operational problems. The smart grids emerged from this approach and aimed to improve the current systems and integrate electric power using alternative and renewable sources. Restoration techniques of these networks are being developed to reduce the impacts caused by the usual power supply interruptions due to failures in the distribution networks. This paper presents the development and evaluation of the performance of a multi-objective version of the Bacterial Foraging Optimization Algorithm for finding the minor handling switches that maximize the number of buses served, keeping the configuration radial system and within the limits of current in the conductors and bus voltage. An electrical system model was created, and routines were implemented for the network verification, which was used as a function of the Multi-Objective Bacterial Foraging Optimization Hybrid Algorithm. The proposed method has been applied in two distribution systems with 70 buses and 201 buses, respectively, and the algorithm’s effectiveness to solve the restoration problem is discussed.