A firefly algorithm to solve the manufacturing cell design problem

Ricardo Soto, Broderick Crawford, Jacqueline Lama, Fernando Paredes

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

5 Citas (Scopus)

Resumen

The Manufacturing Cell Design Problem (MCDP) consists in creating an optimal design of production plants, through the creation of cells grouping machines that process parts of a given product. The goal is to reduce costs and increase productivity by minimizing movements and exchange of material between these cells. In this paper, we present a Firefly Algorithm (FA) to tackle this problem. The FA is a recent bio-inspired metaheuristic based on the mating behavior of fireflies that employ its flashing capabilities to communicate with each other or attract potential prey.We incorporate efficient transfer and discretization methods in order to suitable handle the binary domains of the problem. Interesting experimental results are illustrated where several global optimums are reached for a set of 90 well-known MCDP instances.

Idioma originalInglés
Título de la publicación alojadaArtificial Intelligence Perspectives in Intelligent Systems - Proceedings of 5th Computer Science On-line Conference, CSOC 2016
EditoresRadek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Petr Silhavy, Zdenka Prokopova
EditorialSpringer Verlag
Páginas103-114
Número de páginas12
ISBN (versión impresa)9783319336237
DOI
EstadoPublicada - 2016
Publicado de forma externa
Evento5th Computer Science On-line Conference, CSOC 2016 - Prague, República Checa
Duración: 27 abr. 201630 abr. 2016

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen464
ISSN (versión impresa)2194-5357

Conferencia

Conferencia5th Computer Science On-line Conference, CSOC 2016
País/TerritorioRepública Checa
CiudadPrague
Período27/04/1630/04/16

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