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Un algoritmo genético híbrido y un enfriamiento simulado para solucionar el problema de programación de pedidos Job Shop

Job Shop Scheduling Problem (JSP), classified as NP-Hard, has been a challenge for the scientific community because achieving an optimal solution to this problem is complicated as it grows in number of machines and jobs. Numerous techniques, including metaheuristics, have been used for its solution;...

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Bibliographic Details
Institution:Universidad EIA
Main Authors: Meisel-Donoso, José David, Prado, L. K. (Liliana Katherine)
Format: Artículo de revista
Language:Español
Published: Fondo Editorial EIA 2013-12-17
Subjects:
REI00122
ORGANIZACIÓN E INDUSTRIA
ORGANIZATION AND INDUSTRY
PRODUCCIÓN INDUSTRIAL
INDUSTRIAL PRODUCTION
PLANIFICACIÓN DE LA PRODUCCIÓN
PRODUCTION PLANNING
JOB SHOP
ALGORITMO GENÉTICO
ENFRIAMIENTO SIMULADO
ADMINISTRACIÓN
GENETIC ALGORITHM
SIMULATED ANNEALING
OPERATIONS MANAGEMENT
COMBINATORIAL OPTIMIZATION
Online Access:https://repository.eia.edu.co/handle/11190/216
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