| 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 | 1245 | 2017 |
| 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 | 721 | 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 | 587 | 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 | 439 | 2011 |
| 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 | 404 | 2016 |
| 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 | 292 | 2019 |
| 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 | 266 | 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 | 250 | 2014 |
| Cellular particle swarm optimization Y Shi, H Liu, L Gao, G Zhang Information Sciences 181 (20), 4460-4493, 2011 | 240 | 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 | 233 | 2017 |
| 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 | 206 | 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 | 191 | 2011 |
| 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 | 185 | 2013 |
| 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 | 172 | 2019 |
| 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 | 162 | 2017 |
| 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 | 162 | 2010 |
| 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 | 153 | 2017 |
| A cloud-based approach for WEEE remanufacturing L Wang, XV Wang, L Gao, J Váncza CIRP Annals-Manufacturing Technology 63 (1), 409-412, 2014 | 149 | 2014 |
| 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 | 136 | 2010 |
| 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 | 133 | 2012 |
Quan-ke panState Key Laboratory of Synthetical Automation for Process Industries, Northeastern UniversityVerified email at mail.neu.edu.cn
