Követés
Liang GAO
Liang GAO
Professor of Industrial Engineering, Huazhong University of Science and Technology
E-mail megerősítve itt: mail.hust.edu.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
A New Convolutional Neural Network Based Data-Driven Fault Diagnosis Method
L Wen, X Li, L Gao, Y Zhang
IEEE Transactions on Industrial Electronics, 2017
11042017
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
L Wen, L Gao, X Li
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017
6362017
An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem
G Zhang, X Shao, P Li, L Gao
Computers & Industrial Engineering 56 (4), 1309-1318, 2009
5782009
An effective genetic algorithm for the flexible job-shop scheduling problem
G Zhang, L Gao, Y Shi
Expert Systems with Applications 38 (4), 3563-3573, 2011
4282011
An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem
X Li, L Gao
International Journal of Production Economics 174, 93-110, 2016
3622016
Integration of process planning and scheduling—a modified genetic algorithm-based approach
X Shao, X Li, L Gao, C Zhang
Computers & Operations Research 36 (6), 2082-2096, 2009
2622009
An improved fruit fly optimization algorithm for continuous function optimization problems
QK Pan, HY Sang, JH Duan, L Gao
Knowledge-Based Systems 62, 69-83, 2014
2512014
A transfer convolutional neural network for fault diagnosis based on ResNet-50
L Wen, X Li, L Gao
Neural Computing and Applications, 1-14, 2019
2322019
Cellular particle swarm optimization
Y Shi, H Liu, L Gao, G Zhang
Information Sciences 181 (20), 4460-4493, 2011
2312011
Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm
C Lu, L Gao, X Li, Q Pan, Q Wang
Journal of Cleaner Production, 2017
2232017
A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop scheduling problem
X Wang, L Gao, C Zhang, X Shao
The International Journal of Advanced Manufacturing Technology 51 (5-8), 757-767, 2010
2012010
A differential evolution algorithm with self-adapting strategy and control parameters
QK Pan, PN Suganthan, L Wang, L Gao, R Mallipeddi
Computers & Operations Research 38 (1), 394-408, 2011
1902011
An adaptive process planning approach of rapid prototyping and manufacturing
GQ Jin, WD Li, L Gao
Robotics and Computer-Integrated Manufacturing 29 (1), 23-38, 2013
1762013
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem
QK Pan, L Gao, L Wang, J Liang, XY Li
EXPERT SYSTEMS WITH APPLICATIONS 124, 309-24, 2019
1592019
Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling
X Li, L Gao, X Shao, C Zhang, C Wang
Computers & Operations Research 37 (4), 656-667, 2010
1562010
A novel mathematical model and multi-objective method for the low-carbon flexible job shop scheduling problem
L Yin, X Li, L Gao, C Lu, Z Zhang
Sustainable Computing: Informatics and Systems 13, 15-30, 2017
1542017
A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry
C Lu, L Gao, X Li, S Xiao
Engineering Applications of Artificial Intelligence 57, 61-79, 2017
1462017
A cloud-based approach for WEEE remanufacturing
L Wang, XV Wang, L Gao, J Váncza
CIRP Annals-Manufacturing Technology 63 (1), 409-412, 2014
1442014
An agent-based approach for integrated process planning and scheduling
X Li, C Zhang, L Gao, W Li, X Shao
Expert Systems with Applications 37 (2), 1256-1264, 2010
1322010
Application of game theory based hybrid algorithm for multi-objective integrated process planning and scheduling
X Li, L Gao, W Li
Expert Systems with Applications 39 (1), 288-297, 2012
1312012
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20