| 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 | 1825 | 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 | 966 | 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 | 639 | 2009 |
| 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 | 552 | 2019 |
| 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 | 546 | 2016 |
| 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 | 529 | 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 | 287 | 2017 |
| 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 | 277 | 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 | 263 | 2014 |
| Cellular particle swarm optimization Y Shi, H Liu, L Gao, G Zhang Information Sciences 181 (20), 4460-4493, 2011 | 261 | 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 | 240 | 2010 |
| 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 | 237 | 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 | 218 | 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 | 214 | 2013 |
| 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 | 202 | 2011 |
| 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 | 194 | 2017 |
| 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 | 193 | 2018 |
| 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 | 186 | 2018 |
| 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 | 184 | 2018 |
| 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 | 178 | 2010 |
Quan-ke panState Key Laboratory of Synthetical Automation for Process Industries, Northeastern University在 mail.neu.edu.cn 的电子邮件经过验证
