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Liang GAO
Liang GAO
Professor of Industrial Engineering, Huazhong University of Science and Technology
Bestätigte E-Mail-Adresse bei mail.hust.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
18762017
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
9732017
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
6422009
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
5632019
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
5532016
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
5312011
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
2832017
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
2792009
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
2652014
Cellular particle swarm optimization
Y Shi, H Liu, L Gao, G Zhang
Information Sciences 181 (20), 4460-4493, 2011
2632011
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
2372019
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
2372010
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
2222017
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
2152013
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
2022011
Queuing search algorithm: A novel metaheuristic algorithm for solving engineering optimization problems
J Zhang, M Xiao, L Gao, Q Pan
Applied Mathematical Modelling 63, 464-490, 2018
1982018
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
1952017
Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning
Y Zhang, X Li, L Gao, L Wang, L Wen
Journal of Manufacturing Systems, 2018
1892018
Topology optimization for concurrent design of structures with multi-patch microstructures by level sets
H Li, Z Luo, L Gao, Q Qin
Computer Methods in Applied Mechanics and Engineering 331, 536-561, 2018
1872018
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
1772010
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