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

Jose M. Lanza-Gutierrez, Ricardo Soto, Broderick Crawford, Juan A. Gomez-Pulido, Nicolas Fernandez, Carlos Castillo

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


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 algorithmfor addressing theproblem. Such adaptation is applied for solving a freely available dataset of the MCDP, obtaining competitive results compared to recent approaches.

Original languageEnglish
Title of host publicationRecent Developments in Intelligent Nature-Inspired Computing
PublisherIGI Global
Number of pages25
ISBN (Electronic)9781522523239
ISBN (Print)1522523227, 9781522523222
StatePublished - 9 Mar 2017


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