Multi-objective optimisation of machining process parameters using deep learning-based data-driven genetic algorithm and TOPSIS

Machining process is currently widely employed in mechanical manufacturing systems. Optimum selection of machining process parameters can improve the environmental impact and production efficiency of the machining process effectively. However, existing studies toward machining process parameters opt...

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Bibliographic Details

Published in:	Journal of manufacturing systems Vol. 64; pp. 40 - 52
Main Authors:	Wu, Pengcheng, He, Yan, Li, Yufeng, He, Jingsen, Liu, Xueqian, Wang, Yulin
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2022
Subjects:	Data-driven genetic algorithm Deep learning Machining process Multi-objective optimisation Deep learning Data-driven genetic algorithm Machining process Multi-objective optimisation
ISSN:	0278-6125, 1878-6642
Online Access:	Get full text
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