A multi-objective parameter optimization and decision-making method for multi-pass end milling with firefly algorithm and Markov clustering-Reference-Cited by-同舟云学术

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A multi-objective parameter optimization and decision-making method for multi-pass end milling with firefly algorithm and Markov clustering

Published:2024-03-10 Issue:4 Volume:46 Page:
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

Cai Xu-Lin,Yang Wen-An^ORCID,Yang Xue-Feng,You You-Peng

Funder

National Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40430-024-04740-1.pdf

Reference42 articles.

1. Pereira JLJ, Oliver GA, Francisco MB, Cunha SS, Gomes GF (2021) A review of multi-objective optimization: methods and algorithms in mechanical engineering problems. Arch Comput Methods Eng 29(4):2285–2308

2. Soori M, Asmael M (2022) A review of the recent development in machining parameter optimization. Jordan J Mech Ind Eng 16(2):205–223

3. Yang WA, Guo Y, Liao W (2011) Multi-objective optimization of multi-pass face milling using particle swarm intelligence. Int J Adv Manuf Technol 56:429–443

4. Yan J, Li L (2013) Multi-objective optimization of milling parameters–the trade-offs between energy, production rate and cutting quality. J Clean Prod 52:462–471

5. Ji W, Yin S, Wang L (2019) A big data analytics based machining optimisation approach. J Intell Manuf 30:1483–1495

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