Genetic Algorithm-Based Strategy for Routing in Virtual Electrical Substations Aiming for Security / Estratégia baseada em Algoritmos Genéticos para o Roteamento em Subestações Elétricas Virtuais Visando a Segurança
| Autor: | Keiji Yamanaka, Edgard Afonso Lamounier Júnior, Camilo de Lellis Barreto Junior, Alexandre Cardoso |
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| Rok vydání: | 2021 |
| Předmět: |
Marketing
Pharmacology Truck Organizational Behavior and Human Resource Management Point (typography) Computer science Strategy and Management Real-time computing Pharmaceutical Science computer.software_genre Task (computing) Variable (computer science) Order (business) Virtual machine Drug Discovery Genetic algorithm Point of departure computer |
| Zdroj: | Brazilian Journal of Development. 7:100344-100361 |
| ISSN: | 2525-8761 |
| Popis: | Maintenance in electrical substation equipment in- volves several daily risks to the worker. When carrying out the maintenance of a large equipment, a truck is assigned to the task. It is not any place that the truck has the ability to travel, nor the workers have the free transition through the place.The objective of this work is to develop a Genetic Algorithm to solve the problem, to create a route where the level of danger is low and does not pose a risk to the health of the worker. To test the genetic algorithm, a substation virtual environment was used where the dimensions and distances are reliable for a real environment. In order to do so, the map division strategy and the creation of individuals with variable sizes were applied. The results were satisfactory, obtaining a route from the point of departure and the point of arrival. |
| Databáze: | OpenAIRE |
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