A PSO-based clustering algorithm for manufacturing cell design

Orlando Durán, Nibaldo Rodriguez, Luiz Airton Consalter

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

Since the last years different metaheuristic methods have been used to solve clustering problems. This paper addresses the problem of manufacturing Cell Formation using a modified particle swarm optimisation (PSO) algorithm. The main modification made to the original PSO algorithm consists on that in this work it is not used the vector of velocities as the standard PSO algorithm does. The proposed algorithm uses the concept of proportional likelihood with modifications, a technique that is used in data mining techniques. Some simulations are presented and compared. The criterion used to group the machines in cells is based on the minimization of inter-cell movements. The computational results show that the PSO algorithm is able to find the optimal solutions on almost all instances.

Idioma originalInglés
Título de la publicación alojadae-Forensics 2008 - Proceedings of the 1st International Conference on Forensic Applications and Techniques in Telecommunications, Information, and Multimedia and Workshop
EditorialAssociation for Computing Machinery, Inc
ISBN (versión digital)9789639799196
DOI
EstadoPublicada - 21 ene. 2008
Publicado de forma externa
Evento1st International Conference on Forensic Applications and Techniques in Telecommunications, Information, and Multimedia and Workshop, e-Forensics 2008 - Adelaide, Australia
Duración: 21 ene. 200823 ene. 2008

Serie de la publicación

Nombree-Forensics 2008 - Proceedings of the 1st International Conference on Forensic Applications and Techniques in Telecommunications, Information, and Multimedia and Workshop

Conferencia

Conferencia1st International Conference on Forensic Applications and Techniques in Telecommunications, Information, and Multimedia and Workshop, e-Forensics 2008
País/TerritorioAustralia
CiudadAdelaide
Período21/01/0823/01/08

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