Liang GAO
Liang GAO
Professor of Industrial Engineering, Huazhong University of Science and Technology
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
Cellular particle swarm optimization
Y Shi, H Liu, L Gao, G Zhang
Information Sciences 181 (20), 4460-4493, 2011
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
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
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
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
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
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
A cloud-based approach for WEEE remanufacturing
L Wang, XV Wang, L Gao, J Váncza
CIRP Annals-Manufacturing Technology 63 (1), 409-412, 2014
An effective hybrid discrete differential evolution algorithm for the flow shop scheduling with intermediate buffers
QK Pan, L Wang, L Gao, WD Li
Information Sciences 181 (3), 668-685, 2011
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
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
Multi-objective optimization algorithms for flow shop scheduling problem: a review and prospects
Y Sun, C Zhang, L Gao, X Wang
The International Journal of Advanced Manufacturing Technology 55 (5-8), 723-739, 2011
An adaptive decoupling approach for reliability-based design optimization
Z Chen, H Qiu, L Gao, L Su, P Li
Computers & Structures 117, 58-66, 2013
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