Applying an Electromagnetism-like algorithm for solving the manufacturing cell design problem

Jose M. Lanza-Gutierrez, Juan A. Gomez-Pulido, RICARDO JAVIER SOTO DE GIORGIS, Nicolas Fernandez, BRODERICK CRAWFORD LABRIN, Carlos Castillo

Resultado de la investigación: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

Resumen

Group technology has acquired a great consideration in the last years. This technique allows including the advantages of serial production to any manufacturing industry by dividing a manufacturing plant into a set of machine-part cells. The identification and formation of the cells are known as the Manufacturing Cell Design Problem (MCDP), which is an NP-hard problem. In this paper, the authors propose to solve the problem through a swarm intelligence metaheuristic called ElectroMagnetism-like (EM-like) algorithm, which is inspired by the attraction-repulsion mechanism of particles in the context of the electromagnetic theory. The original EM-like algorithm was designed for solving continuous optimization problems, while the MCDP is usually formulated by assuming a binary approach. Hence, the authors propose an adaptation of this algorithm for addressing the problem. Such adaptation is applied for solving a freely available dataset of the MCDP, obtaining competitive results compared to recent approaches.

Idioma originalInglés
Título de la publicación alojadaIntelligent Systems
Subtítulo de la publicación alojadaConcepts, Methodologies, Tools, and Applications
EditorialIGI Global
Páginas1212-1231
Número de páginas20
ISBN (versión digital)9781522556442
ISBN (versión impresa)1522556435, 9781522556435
DOI
EstadoPublicada - 4 jun. 2018

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