Operation Allocation in Flexible Manufacturing System Using Immune Algorithm

Pandey, Mayank

doi:10.1002/9781118161883.ch6

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…In recent years among metaheuristics, particularly interesting are the results obtained using the swarmbased approaches (Pandey, 2011;Santuka et al, 2015). In summary it emerges that the ML problem in FMSs is a topic deeply analysed nevertheless currently under investigation.…”

Section: Introductionmentioning

confidence: 99%

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

Bottani¹,

Centobelli²,

Cerchione³

et al. 2017

10.5267/j.ijiec

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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.

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Section: Introductionmentioning

confidence: 99%