Performance comparison between a classic particle swarm optimization and a genetic algorithm in manufacturing cell design

This article studies the performance of two metaheuristics, the Particle Swarm Optimization (PSO) and the Genetic Algorithm (GA), in the manufacturing cell formation problem of a factory that needs to organize three production cases in an efficient way for four, five and six manufacturing cells to p...

Full description

Autores:

Rodríguez León, Johanna
Quiroga Méndez, Jabid Eduardo
Ortiz Pimiento, Nestor Raúl

Tipo de recurso:

Article of journal

Fecha de publicación:

2013

Institución:

Universidad Nacional de Colombia

Repositorio:

Universidad Nacional de Colombia

Idioma:

spa

OAI Identifier:

oai:repositorio.unal.edu.co:unal/39529

Acceso en línea:

https://repositorio.unal.edu.co/handle/unal/39529
http://bdigital.unal.edu.co/29626/

Palabra clave:

Manufacturing cells
Group Technology
Cellular Manufacturing
Meta-heuristic Models
Particle Swarm Optimization
Genetic Algorithm
Intercellular Transfers

Rights

openAccess

License

Atribución-NoComercial 4.0 Internacional