Frutos, Mariano and Tohmé, Fernando (2012) Evolutionary multi-objective scheduling procedures in non-standardized production processes. Dyna; Vol. 79, núm. 172 (2012); 101-107 DYNA; Vol. 79, núm. 172 (2012); 101-107 2346-2183 0012-7353 .
Texto completo
|
PDF
1MB | |
![]() |
HTML
28kB |
URL oficial: http://revistas.unal.edu.co/index.php/dyna/article...
Resumen
Scheduling problems can be seen as multi-objective optimization problems (MOPs), involving the simultaneous satisfaction of several goals related to the optimal design, coordination and management of tasks. The complexity of the goal functions and of the combinatorial methods used to find analytical solutions to them is quite high. The search of solutions (Pareto-optima) is better served by the use of genetic algorithms (GAs). In this work we analyze the performance of NSGAII (Non-dominated Sorting Genetic Algorithm II), SPEAII (Strength Pareto Evolutionary algorithm II) and their predecessors, NSGA and SPEA, when devoted to scheduling tasks in non-standardized production activities.
Tipo de documento: | Artículo - Article | |
---|---|---|
Información adicional: | Derechos de autor reservados | |
Palabras clave: | Job-Shop scheduling, multi-objective optimization, Pareto frontier, memetic algorithm, local search | |
Unidad administrativa: | Revistas electrónicas UN > Dyna | |
Código ID: | 21241 | |
Enviado por : | Dirección Nacional de Bibliotecas STECNICO | |
Enviado el día : | 27 Junio 2014 12:16 | |
Ultima modificación: | 27 Noviembre 2017 22:18 | |
Ultima modificación: | 27 Noviembre 2017 22:18 | |
Exportar: | Clic aquí | |
Estadísticas: | Clic aquí | |
Compartir: |
|
Solamente administradores del repositorio: página de control del ítem