Parameter optimization with particle swarm in a continuous cast mold

• Autores: González Rondón, Yordy, Rengel Hernández, José Eduardo, Martínez Rizales, Johnny
• Formato: artículo
• Fecha de Publicación: 2021
• Institución: Universidad de Lima
• Repositorio: Revistas - Universidad de Lima
• Lenguaje: español
• OAI Identifier: oai:revistas.ulima.edu.pe:article/5100
• Enlace del recurso: https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/5100
• Nivel de acceso: acceso abierto
• Materia: parameter optimization; continuous casting; particle swarm; metaheuristics; casting mold; optimización de parámetros; colada continua; enjambre de partículas; metaheurísticas; molde de colada

To adjust the parameters that influence the appearance of defects in the steel in the continuous casting mold, a particle swarm optimization algorithm (PSO) was developed using process models. The study considered multiple objectives with multiple restrictions and the results were compared with those reported by a teaching-learning-based optimization algorithm (TLBO). We conclude that the PSO has a good capacity to determine the parameters of the mold, and with it, it is possible to achieve an optimal solution without requiring great computational efforts.