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Applying an Electromagnetism-Like Algorithm for Solving the Manufacturing Cell Design Problem
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Author(s): Jose M. Lanza-Gutierrez (Universidad Politecnica de Madrid, Spain), Ricardo Soto (Pontificia Universidad Católica de Valparaíso, Chile), Broderick Crawford (Pontificia Universidad Católica de Valparaíso, Chile), Juan A. Gomez-Pulido (University of Extremadura, Spain), Nicolas Fernandez (Pontificia Universidad Católica de Valparaíso, Chile)and Carlos Castillo (Pontificia Universidad Católica de Valparaíso, Chile)
Copyright: 2018
Pages: 20
Source title:
Intelligent Systems: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5643-5.ch051
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Abstract
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.
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