A hybrid method to optimize the Flexible Job Shop Scheduling Problem
This article addresses task scheduling in the Flexible Job Shop Scheduling Problem (FJSSP). In this manufacturing system, it is necessary to intensify the number of jobs to be processed due to the current conditions of the industrial sector where there is an increase in the demand for products, whic...
| Autores: | , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | México |
| Recursos: | UNIVERSIDAD AUTÓNOMA DEL ESTADO DE HIDALGO |
| Repositorio: | PÄDI Boletín Científico de Ciencias Básicas e Ingeniería del ICBI |
| Idioma: | español |
| OAI Identifier: | oai:repository.uaeh.edu.mx:article/8651 |
| Acesso em linha: | https://repository.uaeh.edu.mx/revistas/index.php/icbi/article/view/8651 |
| Access Level: | acceso abierto |
| Palavra-chave: | • Flexible Job Shop Scheduling Problem genetic algorithms hill climbing hybrid optimization makespan algoritmos genéticos escalada de colina optimización híbrida |
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A hybrid method to optimize the Flexible Job Shop Scheduling ProblemMétodo híbrido para optimizar el Flexible Job Shop Scheduling ProblemEscamilla-Serna, Nayeli J.Seck-Tuoh-Mora, Juan C.Medina-Marín, JoselitoBarragan-Vite, IrvingCorona-Armenta, José R.• Flexible Job Shop Scheduling Problemgenetic algorithmshill climbinghybrid optimizationmakespan• Flexible Job Shop Scheduling Problemalgoritmos genéticosescalada de colinaoptimización híbridaThis article addresses task scheduling in the Flexible Job Shop Scheduling Problem (FJSSP). In this manufacturing system, it is necessary to intensify the number of jobs to be processed due to the current conditions of the industrial sector where there is an increase in the demand for products, which leads to an increase in production. To find a task schedule close to the optimum. A hybrid optimization method is proposed using a global search based on genetic algorithms (GA) that have good diversification. A restart hill-climbing process (RHC) is used as a local search method in order to improve each solution. These metaheuristics yield the equilibrium necessary to find the best solution that minimizes the makespan as a cost function. The proposed algorithm was implemented in Matlab, and the results were compared with recently published research to review its efficiency.Este artículo aborda la programación de tareas en el Flexible Job Shop Scheduling Problem (FJSSP). En este sistema de manufactura es necesario incrementar el número de trabajos a procesar debido a las condiciones actuales del sector industrial en donde existe un aumento en la demanda de productos, lo que conlleva a incrementar la producción. Para encontrar una programación de tareas cercana al óptimo. Se propone un método de optimización híbrida utilizando una búsqueda global basada en algoritmos genéticos (AG) que tienen buena diversificación y para la búsqueda local se aplica una escalada de colinas simple con reinicio (ECR) para mejorar cada solución. La combinación de estas metaheurísticas obtiene el equilibrio necesario para encontrar la mejor programación de tareas con el fin de minimizar el makespan como función costo. Se implementó el algoritmo propuesto en Matlab, para comprobar su eficiencia se compararon los resultados con investigaciones recientemente publicadas.Universidad Autónoma del Estado de Hidalgo2022-06-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://repository.uaeh.edu.mx/revistas/index.php/icbi/article/view/865110.29057/icbi.v10iEspecial2.8651Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI; Vol 10 No Especial2 (2022): Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI; 56-64Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI; Vol. 10 Núm. Especial2 (2022): Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI; 56-642007-636310.29057/icbi.v10iEspecial2reponame:PÄDI Boletín Científico de Ciencias Básicas e Ingeniería del ICBIinstname:UNIVERSIDAD AUTÓNOMA DEL ESTADO DE HIDALGOinstacron:UAEHspahttps://repository.uaeh.edu.mx/revistas/index.php/icbi/article/view/8651/9011info:eu-repo/semantics/openAccessoai:repository.uaeh.edu.mx:article/86512024-08-19T22:36:44Z |
| dc.title.none.fl_str_mv |
A hybrid method to optimize the Flexible Job Shop Scheduling Problem Método híbrido para optimizar el Flexible Job Shop Scheduling Problem |
| title |
A hybrid method to optimize the Flexible Job Shop Scheduling Problem |
| spellingShingle |
A hybrid method to optimize the Flexible Job Shop Scheduling Problem Escamilla-Serna, Nayeli J. • Flexible Job Shop Scheduling Problem genetic algorithms hill climbing hybrid optimization makespan • Flexible Job Shop Scheduling Problem algoritmos genéticos escalada de colina optimización híbrida |
| title_short |
A hybrid method to optimize the Flexible Job Shop Scheduling Problem |
| title_full |
A hybrid method to optimize the Flexible Job Shop Scheduling Problem |
| title_fullStr |
A hybrid method to optimize the Flexible Job Shop Scheduling Problem |
| title_full_unstemmed |
A hybrid method to optimize the Flexible Job Shop Scheduling Problem |
| title_sort |
A hybrid method to optimize the Flexible Job Shop Scheduling Problem |
| dc.creator.none.fl_str_mv |
Escamilla-Serna, Nayeli J. Seck-Tuoh-Mora, Juan C. Medina-Marín, Joselito Barragan-Vite, Irving Corona-Armenta, José R. |
| author |
Escamilla-Serna, Nayeli J. |
| author_facet |
Escamilla-Serna, Nayeli J. Seck-Tuoh-Mora, Juan C. Medina-Marín, Joselito Barragan-Vite, Irving Corona-Armenta, José R. |
| author_role |
author |
| author2 |
Seck-Tuoh-Mora, Juan C. Medina-Marín, Joselito Barragan-Vite, Irving Corona-Armenta, José R. |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
• Flexible Job Shop Scheduling Problem genetic algorithms hill climbing hybrid optimization makespan • Flexible Job Shop Scheduling Problem algoritmos genéticos escalada de colina optimización híbrida |
| topic |
• Flexible Job Shop Scheduling Problem genetic algorithms hill climbing hybrid optimization makespan • Flexible Job Shop Scheduling Problem algoritmos genéticos escalada de colina optimización híbrida |
| description |
This article addresses task scheduling in the Flexible Job Shop Scheduling Problem (FJSSP). In this manufacturing system, it is necessary to intensify the number of jobs to be processed due to the current conditions of the industrial sector where there is an increase in the demand for products, which leads to an increase in production. To find a task schedule close to the optimum. A hybrid optimization method is proposed using a global search based on genetic algorithms (GA) that have good diversification. A restart hill-climbing process (RHC) is used as a local search method in order to improve each solution. These metaheuristics yield the equilibrium necessary to find the best solution that minimizes the makespan as a cost function. The proposed algorithm was implemented in Matlab, and the results were compared with recently published research to review its efficiency. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022-06-24 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://repository.uaeh.edu.mx/revistas/index.php/icbi/article/view/8651 10.29057/icbi.v10iEspecial2.8651 |
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https://repository.uaeh.edu.mx/revistas/index.php/icbi/article/view/8651 |
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10.29057/icbi.v10iEspecial2.8651 |
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spa |
| language |
spa |
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https://repository.uaeh.edu.mx/revistas/index.php/icbi/article/view/8651/9011 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Universidad Autónoma del Estado de Hidalgo |
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Universidad Autónoma del Estado de Hidalgo |
| dc.source.none.fl_str_mv |
Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI; Vol 10 No Especial2 (2022): Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI; 56-64 Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI; Vol. 10 Núm. Especial2 (2022): Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI; 56-64 2007-6363 10.29057/icbi.v10iEspecial2 reponame:PÄDI Boletín Científico de Ciencias Básicas e Ingeniería del ICBI instname:UNIVERSIDAD AUTÓNOMA DEL ESTADO DE HIDALGO instacron:UAEH |
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UNIVERSIDAD AUTÓNOMA DEL ESTADO DE HIDALGO |
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PÄDI Boletín Científico de Ciencias Básicas e Ingeniería del ICBI |
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PÄDI Boletín Científico de Ciencias Básicas e Ingeniería del ICBI |
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