Hybrid simulation and ga for a flexible flow shop problem with variable processors and re-entrant flow

The problem of FFSP (Flexible Flow Shop Problem) has been sufficiently investigated due to its importance for production programming and control, although many of the solution methods have been based on GA (Genetic Algorithm) and simulation, these techniques have been used in deterministic environme...

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Autores:
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23750
Acceso en línea:
https://doi.org/10.1007/978-3-030-00350-0_21
https://repository.urosario.edu.co/handle/10336/23750
Palabra clave:
Efficiency
Genetic algorithms
Heuristic methods
Machine shop practice
Flexible flow-shop problems
GA (genetic algorithm)
Hybrid simulation
Manufacturing environments
Parallel machine
Recirculation process
Simulation
Simulation process
Problem solving
Flexible workshop programming
Genetic algorithm
Parallel machines
Process re-entry
Simulation
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License
http://purl.org/coar/access_right/c_abf2