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Solving machine loading problem of flexible manufacturing systems using a modified discrete firefly algorithm

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Article history: Received October 2 2016 Received in Revised Format October 28 2016 Accepted December 2 2016 Available online December 2 2016 This paper proposes a modified discrete firefly algorithm… Click to show full abstract

Article history: Received October 2 2016 Received in Revised Format October 28 2016 Accepted December 2 2016 Available online December 2 2016 This paper proposes a modified discrete firefly algorithm (DFA) applied to the machine loading problem of the flexible manufacturing systems (FMSs) starting from the mathematical formulation adopted by Swarnkar & Tiwari (2004). The aim of the problem is to identify the optimal jobs sequence that simultaneously maximizes the throughput and minimizes the system unbalance according to given technological constraints (e.g. available tool slots and machining time). The results of the algorithm proposed have been compared with the existing and most recent swarm-based approaches available in the open literature using as benchmark the set of ten problems proposed by Mukhopadhyay et al. (1992). The algorithm shows results that are comparable and sometimes even better than most of the other approaches considering both the quality of the results provided and the computational times obtained. © 2017 Growing Science Ltd. All rights reserved

Keywords: machine loading; loading problem; modified discrete; firefly algorithm; discrete firefly; problem

Journal Title: International Journal of Industrial Engineering Computations
Year Published: 2017

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