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Shijin Wang
Shijin Wang
Verified email at tongji.edu.cn
Title
Cited by
Cited by
Year
Evolving artificial neural networks using an improved PSO and DPSO
J Yu, S Wang, L Xi
Neurocomputing 71 (4-6), 1054-1060, 2008
2732008
Empirical analysis of support vector machine ensemble classifiers
S Wang, A Mathew, Y Chen, L Xi, L Ma, J Lee
Expert Systems with applications 36 (3), 6466-6476, 2009
2102009
An effective heuristic for flexible job-shop scheduling problem with maintenance activities
S Wang, J Yu
Computers & Industrial Engineering 59 (3), 436-447, 2010
1852010
One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes
S Chen, J Yu, S Wang
Journal of Process Control 87, 54-67, 2020
1682020
Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan
S Wang, X Wang, J Yu, S Ma, M Liu
Journal of cleaner production 193, 424-440, 2018
1562018
Multi-objective optimization of parallel machine scheduling integrated with multi-resources preventive maintenance planning
S Wang, M Liu
Journal of Manufacturing Systems 37, 182-192, 2015
1402015
An improved particle swarm optimization for evolving feedforward artificial neural networks
J Yu, L Xi, S Wang
Neural Processing Letters 26, 217-231, 2007
1382007
Cyber Physical System and Big Data enabled energy efficient machining optimisation
YC Liang, X Lu, WD Li, S Wang
Journal of cleaner Production 187, 46-62, 2018
1302018
An energy-efficient two-stage hybrid flow shop scheduling problem in a glass production
S Wang, X Wang, F Chu, J Yu
International Journal of Production Research 58 (8), 2283-2314, 2020
1282020
Bi-objective optimization of a single machine batch scheduling problem with energy cost consideration
S Wang, M Liu, F Chu, C Chu
Journal of cleaner production 137, 1205-1215, 2016
1222016
A branch and bound algorithm for single-machine production scheduling integrated with preventive maintenance planning
S Wang, M Liu
International Journal of Production Research 51 (3), 847-868, 2013
1142013
A genetic algorithm for two-stage no-wait hybrid flow shop scheduling problem
S Wang, M Liu
Computers & Operations Research 40 (4), 1064-1075, 2013
1042013
Big Data enabled Intelligent Immune System for energy efficient manufacturing management
S Wang, YC Liang, WD Li, XT Cai
Journal of cleaner production 195, 507-520, 2018
962018
Two-stage hybrid flow shop scheduling with preventive maintenance using multi-objective tabu search method
S Wang, M Liu
International Journal of Production Research 52 (5), 1495-1508, 2014
952014
A branch-and-bound algorithm for two-stage no-wait hybrid flow-shop scheduling
S Wang, M Liu, C Chu
International Journal of Production Research 53 (4), 1143-1167, 2015
922015
A deep autoencoder feature learning method for process pattern recognition
J Yu, X Zheng, S Wang
Journal of Process Control 79, 1-15, 2019
912019
A modified support vector data description based novelty detection approach for machinery components
S Wang, J Yu, E Lapira, J Lee
Applied Soft Computing 13 (2), 1193-1205, 2013
862013
A heuristic method for two-stage hybrid flow shop with dedicated machines
S Wang, M Liu
Computers & Operations Research 40 (1), 438-450, 2013
752013
Fog computing and convolutional neural network enabled prognosis for machining process optimization
YC Liang, WD Li, X Lu, S Wang
Journal of Manufacturing Systems 52, 32-42, 2019
712019
Multichannel one-dimensional convolutional neural network-based feature learning for fault diagnosis of industrial processes
J Yu, C Zhang, S Wang
Neural Computing and Applications 33 (8), 3085-3104, 2021
662021
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