Multi-objective factors optimization in fused deposition modelling with particle swarm optimization and differential evolution
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1007/s12008-022-00868-3.pdf
Reference48 articles.
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2. Mellal, M.A., Williams, E.J.: Parameter optimization of advanced machining processes using cuckoo optimization algorithm and hoopoe heuristic. J. Intell. Manuf. 27, 927–942 (2016). https://doi.org/10.1007/s10845-014-0925-4
3. Mellal, M.A., Laifaoui, C., Ghezal, F.: Multi-objective factors optimization in fused deposition modelling with particle swarm optimization and differential evolution. 10 August 2021, PREPRINT (Version 1) available at Research Square (2021). https://doi.org/10.21203/rs.3.rs-777037/v1
4. Daniyan, I.A., Balogun, V., Mpofu, K., Omigbodun, F.T.: An interactive approach towards the development of an additive manufacturing technology for railcar manufacturing. Int. J. Interact. Des. Manuf. 14, 651–666 (2020). https://doi.org/10.1007/S12008-020-00659-8/FIGURES/18
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