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ORCIDLiang Gao 0001
Person information
- affiliation: Huazhong University of Science and Technology, State Key Laboratory of Digital Manufacturing Equipment and Technology, Wuhan, China
Other persons with the same name
- Liang Gao — disambiguation page
- Liang Gao 0002
![[0000-0003-4005-0339]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4005-0339")
— Beijing Jiaotong University, School of Traffic and Transportation, Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, China - Liang Gao 0003 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China
- Liang Gao 0004 — National University of Defense Technology, National Key Laboratory of Parallel and Distributed Processing, Changsha, China
- Liang Gao 0005 — City University of Hong Kong, Hong Kong (and 1 more)
- Liang Gao 0006 — Beijing Jiaotong University, School of Civil Engineering, China (and 1 more)
- Liang Gao 0007 — Sichuan Agricultural University, Sichuan Agricultural University, China
- Liang Gao 0008 — Institute of North Electronic Equipment, Beijing, China
- Liang Gao 0009 — Shanghai Jiao Tong University, School of Physics and Astronomy, Shanghai, China
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2020 – today
- 2023
[j281]Jiajun Zhou, Liang Gao, Chao Lu:
Solving multi-task manufacturing cloud service allocation problems via bee colony optimizer with transfer learning. Adv. Eng. Informatics 56: 101984 (2023)- [j280]Xingchen Ye, Liang Gao, Xinyu Li, Long Wen:
A new hyper-parameter optimization method for machine learning in fault classification. Appl. Intell. 53(11): 14182-14200 (2023) - [j279]Fei Ming, Wenyin Gong, Liang Gao:
Adaptive Auxiliary Task Selection for Multitasking-Assisted Constrained Multi-Objective Optimization [Feature]. IEEE Comput. Intell. Mag. 18(2): 18-30 (2023) - [j278]Xuan He, Quan-Ke Pan, Liang Gao, Janis S. Neufeld:
An asymmetric traveling salesman problem based matheuristic algorithm for flowshop group scheduling problem. Eur. J. Oper. Res. 310(2): 597-610 (2023) - [j277]Hanghao Cui, Xinyu Li, Liang Gao:
An improved multi-population genetic algorithm with a greedy job insertion inter-factory neighborhood structure for distributed heterogeneous hybrid flow shop scheduling problem. Expert Syst. Appl. 222: 119805 (2023) - [j276]Jiajun Zhou, Shijie Rao, Liang Gao, Chunjiang Zhang, Hongtao Tang, Yun Li, Felix T. S. Chan:
Solving many-task optimization problems via online intertask learning. Expert Syst. Appl. 225: 120110 (2023) - [j275]Ying-Ying Huang, Quan-Ke Pan, Liang Gao:
An effective memetic algorithm for the distributed flowshop scheduling problem with an assemble machine. Int. J. Prod. Res. 61(6): 1755-1770 (2023) - [j274]Jin Xie, Xinyu Li, Liang Gao, Lin Gui:
A new neighbourhood structure for job shop scheduling problems. Int. J. Prod. Res. 61(7): 2147-2161 (2023) - [j273]Lin Gui, Ling Fu, Xinyu Li, Wei Zhou, Liang Gao, Zhimou Xiang, Wei Zhu:
Optimisation framework and method for solving the serial dual-shop collaborative scheduling problem. Int. J. Prod. Res. 61(13): 4341-4357 (2023) - [j272]Jiaxin Fan, Chunjiang Zhang, Weiming Shen, Liang Gao:
A matheuristic for flexible job shop scheduling problem with lot-streaming and machine reconfigurations. Int. J. Prod. Res. 61(19): 6565-6588 (2023) - [j271]Zan Yang, Haobo Qiu, Liang Gao, Danyang Xu, Yuanhao Liu:
A general framework of surrogate-assisted evolutionary algorithms for solving computationally expensive constrained optimization problems. Inf. Sci. 619: 491-508 (2023) - [j270]Yuanhao Liu, Zan Yang, Danyang Xu, Haobo Qiu, Liang Gao:
A surrogate-assisted differential evolution for expensive constrained optimization problems involving mixed-integer variables. Inf. Sci. 622: 282-302 (2023) - [j269]Xiwen Cai, Gan Ruan, Bo Yuan, Liang Gao:
Complementary surrogate-assisted differential evolution algorithm for expensive multi-objective problems under a limited computational budget. Inf. Sci. 632: 791-814 (2023) - [j268]Zan Yang, Haobo Qiu, Liang Gao, Liming Chen, Jiansheng Liu:
Surrogate-assisted MOEA/D for expensive constrained multi-objective optimization. Inf. Sci. 639: 119016 (2023) - [j267]Qihao Liu, Xinyu Li, Liang Gao, Jiaxin Fan:
Two novel MILP models with different flexibilities for solving integrated process planning and scheduling problems. J. Oper. Res. Soc. 74(9): 1955-1967 (2023) - [j266]Shuai Chen, Quan-Ke Pan, Liang Gao, Zhong-Hua Miao, Chen Peng:
Energy-efficient distributed heterogeneous blocking flowshop scheduling problem using a knowledge-based iterated Pareto greedy algorithm. Neural Comput. Appl. 35(9): 6361-6381 (2023) - [j265]Jiajun Zhou, Liang Gao, Chao Lu, Xifan Yao:
Towards multi-task transfer optimization of cloud service collaboration in industrial internet platform. Robotics Comput. Integr. Manuf. 80: 102472 (2023) - [j264]Yiping Gao, Liang Gao, Xinyu Li:
A hierarchical training-convolutional neural network with feature alignment for steel surface defect recognition. Robotics Comput. Integr. Manuf. 81: 102507 (2023) - [j263]Fan Li, Liang Gao, Weiming Shen, Akhil Garg:
Surrogate-assisted multi-objective evolutionary optimization with a multi-offspring method and two infill criteria. Swarm Evol. Comput. 79: 101315 (2023) - [j262]Zhi-Yuan Wang, Quan-Ke Pan, Liang Gao, Xue-Lei Jing, Qing Sun:
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times. Swarm Evol. Comput. 79: 101320 (2023) - [j261]Jiaxin Fan, Yingli Li, Jin Xie, Chunjiang Zhang, Weiming Shen, Liang Gao:
A Hybrid Evolutionary Algorithm Using Two Solution Representations for Hybrid Flow-Shop Scheduling Problem. IEEE Trans. Cybern. 53(3): 1752-1764 (2023) - [j260]Fei Ming, Wenyin Gong, Ling Wang, Liang Gao:
A Constrained Many-Objective Optimization Evolutionary Algorithm With Enhanced Mating and Environmental Selections. IEEE Trans. Cybern. 53(8): 4934-4946 (2023) - [j259]Xuan He, Quan-Ke Pan, Liang Gao, Ling Wang, Ponnuthurai Nagaratnam Suganthan:
A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems. IEEE Trans. Evol. Comput. 27(3): 430-444 (2023) - [j258]Fei Ming, Wenyin Gong, Ling Wang, Liang Gao:
Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 474-486 (2023) - [j257]Qian Wan, Liang Gao, Xinyu Li, Long Wen:
Unsupervised Image Anomaly Detection and Segmentation Based on Pretrained Feature Mapping. IEEE Trans. Ind. Informatics 19(3): 2330-2339 (2023) - [j256]Zongwei Du, Liang Gao, Xinyu Li:
A New Contrastive GAN With Data Augmentation for Surface Defect Recognition Under Limited Data. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j255]Guokai Liu, Weiming Shen, Liang Gao, Andrew Kusiak:
Active Broad-Transfer Learning Algorithm for Class-Imbalanced Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-16 (2023) - [j254]Bin Wang, Long Wen, Xinyu Li, Liang Gao:
Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j253]Long Wen, Yang Zhang, Liang Gao, Xinyu Li, Min Li:
A New Multiscale Multiattention Convolutional Neural Network for Fine-Grained Surface Defect Detection. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j252]Jianhui Mou, Peiyong Duan, Liang Gao, Quanke Pan, Kaizhou Gao, Amit Kumar Singh:
Biologically Inspired Machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System. IEEE Trans. Intell. Transp. Syst. 24(4): 4509-4518 (2023) - [j251]Yang Li, Xinyu Li, Liang Gao:
An Effective Solution Space Clipping-Based Algorithm for Large-Scale Permutation Flow Shop Scheduling Problem. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 635-646 (2023) - [c101]Shichen Tian, Zhiyun Deng, Jiaxin Fan, Chunjiang Zhang, Weiming Shen, Liang Gao:
A Variable Neighborhood Search Algorithm for Heat Pipe-Constrained Component Layout Optimization. CSCWD 2023: 1452-1457 - [c100]Dapeng Wang, Haobo Qiu, Liang Gao:
A Subdomain Uncertainty-Guided Kriging Method with Subset Simulation for Reliability Estimation. CSCWD 2023: 1526-1531 - [c99]Yuwen Zhai, Jing Hao, Liang Gao, Xinyu Li, Yiping Gao, Shumin Han:
Simple Parameter-free Self-attention Approximation. Tiny Papers @ ICLR 2023 - [i10]Yunkang Cao, Xiaohao Xu, Chen Sun, Yuqi Cheng, Zongwei Du, Liang Gao, Weiming Shen:
Segment Any Anomaly without Training via Hybrid Prompt Regularization. CoRR abs/2305.10724 (2023) - [i9]Yunkang Cao, Xiaohao Xu, Chen Sun, Yuqi Cheng, Liang Gao, Weiming Shen:
Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection. CoRR abs/2306.09067 (2023) - [i8]Yuwen Zhai, Jing Hao, Liang Gao, Xinyu Li, Yiping Gao, Shumin Han:
Simple parameter-free self-attention approximation. CoRR abs/2307.12018 (2023) - 2022
- [j250]Zhaofu Li, Liang Gao, Yiping Gao, Xinyu Li, Hui Li:
Zero-shot surface defect recognition with class knowledge graph. Adv. Eng. Informatics 54: 101813 (2022) - [j249]Yongfeng Zheng, Yan Gu, Liang Gao, Yanzheng Wang, Jinping Qu, Chuanzeng Zhang:
A new structural uncertainty analysis method based on polynomial expansions. Appl. Math. Comput. 427: 127122 (2022) - [j248]Guangchen Wang, Xinyu Li, Liang Gao, Peigen Li:
An effective multi-objective whale swarm algorithm for energy-efficient scheduling of distributed welding flow shop. Ann. Oper. Res. 310(1): 223-255 (2022) - [j247]Wen Chen, Liang Gao, Xinyu Li, Weiming Shen:
Lightweight convolutional neural network with knowledge distillation for cervical cells classification. Biomed. Signal Process. Control. 71(Part): 103177 (2022) - [j246]Korhan Karabulut, Damla Kizilay, Mehmet Fatih Tasgetiren, Liang Gao, Levent Kandiller:
An evolution strategy approach for the distributed blocking flowshop scheduling problem. Comput. Ind. Eng. 163: 107832 (2022) - [j245]Xin-Rui Tao, Quan-Ke Pan, Liang Gao:
An efficient self-adaptive artificial bee colony algorithm for the distributed resource-constrained hybrid flowshop problem. Comput. Ind. Eng. 169: 108200 (2022) - [j244]Jin Xie, Xinyu Li, Liang Gao, Lin Gui:
A hybrid algorithm with a new neighborhood structure for job shop scheduling problems. Comput. Ind. Eng. 169: 108205 (2022) - [j243]Yanan Song, Liang Gao, Xinyu Li, Weiming Shen, Kunkun Peng:
A novel vision-based multi-task robotic grasp detection method for multi-object scenes. Sci. China Inf. Sci. 65(12) (2022) - [j242]Wei Li, Liang Gao, Akhil Garg, Mi Xiao:
Multidisciplinary robust design optimization considering parameter and metamodeling uncertainties. Eng. Comput. 38(1): 191-208 (2022) - [j241]Wei Li, Congbo Li, Liang Gao, Mi Xiao:
Risk-based design optimization under hybrid uncertainties. Eng. Comput. 38(3): 2037-2049 (2022) - [j240]Jianhui Mou, Peiyong Duan, Liang Gao, Xinhua Liu, Junqing Li:
An effective hybrid collaborative algorithm for energy-efficient distributed permutation flow-shop inverse scheduling. Future Gener. Comput. Syst. 128: 521-537 (2022) - [j239]Jiajun Zhou, Shijie Rao, Liang Gao, Chao Lu, Jun Zheng, Felix T. S. Chan:
Self-regulated bi-partitioning evolution for many-objective optimization. Inf. Sci. 589: 827-848 (2022) - [j238]Xinjing Wang, Liang Gao, Xinyu Li:
Multiple surrogates and offspring-assisted differential evolution for high-dimensional expensive problems. Inf. Sci. 592: 174-191 (2022) - [j237]Meng Zhao, Liang Gao, Xinyu Li:
A random forest-based job shop rescheduling decision model with machine failures. J. Ambient Intell. Humaniz. Comput. 13(7): 3323-3333 (2022) - [j236]Jia-Yang Mao, Quan-Ke Pan, Zhong-Hua Miao, Liang Gao, Shuai Chen:
A hash map-based memetic algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance to minimize total flowtime. Knowl. Based Syst. 242: 108413 (2022) - [j235]Yunkang Cao, Qian Wan, Weiming Shen, Liang Gao:
Informative knowledge distillation for image anomaly segmentation. Knowl. Based Syst. 248: 108846 (2022) - [j234]Qihao Liu, Xinyu Li, Liang Gao, Guangchen Wang:
A multiobjective memetic algorithm for integrated process planning and scheduling problem in distributed heterogeneous manufacturing systems. Memetic Comput. 14(2): 193-209 (2022) - [j233]Chao Lu, Yuanxiang Huang, Leilei Meng, Liang Gao, Biao Zhang, Jiajun Zhou:
A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers. Robotics Comput. Integr. Manuf. 74: 102277 (2022) - [j232]Danyang Xu, Haobo Qiu, Liang Gao, Zan Yang, Dapeng Wang:
A novel dual-stream self-attention neural network for remaining useful life estimation of mechanical systems. Reliab. Eng. Syst. Saf. 222: 108444 (2022) - [j231]Wen Chen, Weiming Shen, Liang Gao, Xinyu Li:
Hybrid Loss-Constrained Lightweight Convolutional Neural Networks for Cervical Cell Classification. Sensors 22(9): 3272 (2022) - [j230]Yusen Wan, Liang Gao, Xinyu Li, Yiping Gao:
Semi-Supervised Defect Detection Method with Data-Expanding Strategy for PCB Quality Inspection. Sensors 22(20): 7971 (2022) - [j229]Junfei Du, Xinyu Li, Yiping Gao, Liang Gao:
Integrated Gradient-Based Continuous Wavelet Transform for Bearing Fault Diagnosis. Sensors 22(22): 8760 (2022) - [j228]Chao Lu, Biao Zhang, Liang Gao, Jin Yi, Jianhui Mou:
A Knowledge-Based Multiobjective Memetic Algorithm for Green Job Shop Scheduling With Variable Machining Speeds. IEEE Syst. J. 16(1): 844-855 (2022) - [j227]Fan Li, Yingli Li, Xiwen Cai, Liang Gao:
A surrogate-assisted hybrid swarm optimization algorithm for high-dimensional computationally expensive problems. Swarm Evol. Comput. 72: 101096 (2022) - [j226]Ying-Ying Huang, Quan-Ke Pan, Liang Gao, Zhong-Hua Miao, Chen Peng:
A two-phase evolutionary algorithm for multi-objective distributed assembly permutation flowshop scheduling problem. Swarm Evol. Comput. 74: 101128 (2022) - [j225]Danyu Bai, Xiaoyuan Bai, Haoran Li, Quan-Ke Pan, Chin-Chia Wu, Liang Gao, Meiting Guo, Lin Lin:
Blocking flowshop scheduling problems with release dates. Swarm Evol. Comput. 74: 101140 (2022) - [j224]Zhi-Yuan Wang, Quan-Ke Pan, Liang Gao, Yu-Long Wang:
An effective two-stage iterated greedy algorithm to minimize total tardiness for the distributed flowshop group scheduling problem. Swarm Evol. Comput. 74: 101143 (2022) - [j223]Long Wen, Liang Gao, Xinyu Li, Hui Li:
A new genetic algorithm based evolutionary neural architecture search for image classification. Swarm Evol. Comput. 75: 101191 (2022) - [j222]Xiaomeng Wu, Yan Zhang, Liang Gao, Jie Gao:
On the Indispensability of Isogeometric Analysis in Topology Optimization for Smooth or Binary Designs. Symmetry 14(5): 845 (2022) - [j221]Yu Gao, Ziyue Wang, Liang Gao, Xinyu Li:
A Matheuristic Approach for the No-Wait Flowshop Scheduling Problem with Makespan Criterion. Symmetry 14(5): 913 (2022) - [j220]Haoran Zhong, Xinyu Li, Liang Gao, Congbo Li:
Toward Safe Human-Robot Interaction: A Fast- Response Admittance Control Method for Series Elastic Actuator. IEEE Trans Autom. Sci. Eng. 19(2): 919-932 (2022) - [j219]Kaipu Wang, Liang Gao, Xinyu Li, Peigen Li:
Energy-Efficient Robotic Parallel Disassembly Sequence Planning for End-of-Life Products. IEEE Trans Autom. Sci. Eng. 19(2): 1277-1285 (2022) - [j218]Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li:
A Graph Guided Convolutional Neural Network for Surface Defect Recognition. IEEE Trans Autom. Sci. Eng. 19(3): 1392-1404 (2022) - [j217]Quan-Ke Pan, Liang Gao, Ling Wang:
An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems. IEEE Trans. Cybern. 52(7): 5999-6012 (2022) - [j216]Kaipu Wang, Xinyu Li, Liang Gao, Peigen Li, John W. Sutherland:
A Discrete Artificial Bee Colony Algorithm for Multiobjective Disassembly Line Balancing of End-of-Life Products. IEEE Trans. Cybern. 52(8): 7415-7426 (2022) - [j215]Chunjiang Zhang, Liang Gao, Xinyu Li, Weiming Shen, Jiajun Zhou, Kay Chen Tan:
Resetting Weight Vectors in MOEA/D for Multiobjective Optimization Problems With Discontinuous Pareto Front. IEEE Trans. Cybern. 52(9): 9770-9783 (2022) - [j214]Kaipu Wang, Xinyu Li, Liang Gao, Peigen Li:
Modeling and Balancing for Disassembly Lines Considering Workers With Different Efficiencies. IEEE Trans. Cybern. 52(11): 11758-11771 (2022) - [j213]Xinyu Li, Zhao Zhang, Liang Gao, Long Wen:
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 690-699 (2022) - [j212]Qian Wan, Liang Gao, Xinyu Li, Long Wen:
Industrial Image Anomaly Localization Based on Gaussian Clustering of Pretrained Feature. IEEE Trans. Ind. Electron. 69(6): 6182-6192 (2022) - [j211]Yiping Gao, Liang Gao, Xinyu Li, Siyu Cao:
A Hierarchical Training-Convolutional Neural Network for Imbalanced Fault Diagnosis in Complex Equipment. IEEE Trans. Ind. Informatics 18(11): 8138-8145 (2022) - [j210]Wenbin Song, Weiming Shen, Liang Gao, Xinyu Li:
An Early Fault Detection Method of Rotating Machines Based on Unsupervised Sequence Segmentation Convolutional Neural Network. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j209]Qian Wan, Liang Gao, Xinyu Li:
Logit Inducing With Abnormality Capturing for Semi-Supervised Image Anomaly Detection. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j208]Chunjiang Zhang, A. Kai Qin, Weiming Shen, Liang Gao, Kay Chen Tan, Xinyu Li:
ε-Constrained Differential Evolution Using an Adaptive ε-Level Control Method. IEEE Trans. Syst. Man Cybern. Syst. 52(2): 769-785 (2022) - [j207]Xue-Lei Jing, Quan-Ke Pan, Liang Gao, Ling Wang:
An Effective Iterated Greedy Algorithm for a Robust Distributed Permutation Flowshop Problem With Carryover Sequence-Dependent Setup Time. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5783-5794 (2022) - [c98]Zhaofu Li, Liang Gao, Xinyu Li:
A Logit Adjusting Transformer for Class Imbalance in Surface Defect Recognition. CASE 2022: 870-875 - [c97]Qian Wan, Yunkang Cao, Liang Gao, Weiming Shen, Xinyu Li:
Position Encoding Enhanced Feature Mapping for Image Anomaly Detection. CASE 2022: 876-881 - [c96]Chen Sun, Qian Wan, Zhaofu Li, Liang Gao, Xinyu Li, Yiping Gao:
Anchor-based Detection and Height Estimation Framework for Particle Defects on Cathodic Copper Plate Surface. CASE 2022: 1662-1667 - [c95]Yu Gao, Ziyue Wang, Liang Gao, Xinyu Li:
A Hyper-Heuristic Algorithm for the No-Wait Flowshop Scheduling Problem with Makespan Criterion. CSCWD 2022: 1028-1033 - [c94]Chuan Liu, Yunkang Cao, Chen Sun, Weiming Shen, Xinyu Li, Liang Gao:
An Outlier-Aware Method for UWB Indoor Positioning in NLoS Situations. CSCWD 2022: 1504-1509 - [c93]Jingyuan Li, Haozhen Dong, Sicheng Xie, Xinyu Li, Liang Gao:
A Cross-coupling Fuzzy Auto Disturbance Rejection Strategy-Based Compliance Controller for Leg of Hydraulic Bipedal Robot. ICARM 2022: 832-837 - [i7]Chen Sun, Liang Gao, Xinyu Li, Yiping Gao:
A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect Detection. CoRR abs/2209.00519 (2022) - 2021
- [j206]Yucheng Wang, Xinyu Li, Yiping Gao, Lijian Wang, Liang Gao:
A new Feature-Fusion method based on training dataset prototype for surface defect recognition. Adv. Eng. Informatics 50: 101392 (2021) - [j205]Jiajun Zhou, Xifan Yao, Liang Gao, Chengyu Hu:
An indicator and adaptive region division based evolutionary algorithm for many-objective optimization. Appl. Soft Comput. 99: 106872 (2021) - [j204]Haoran Li, Xinyu Li, Liang Gao:
A discrete artificial bee colony algorithm for the distributed heterogeneous no-wait flowshop scheduling problem. Appl. Soft Comput. 100: 106946 (2021) - [j203]Haozhen Dong, Xinyu Li, Zan Yang, Liang Gao, Yan Lu:
A two-layer surrogate-assisted differential evolution with better and nearest option for optimizing the spring of hydraulic series elastic actuator. Appl. Soft Comput. 100: 107001 (2021) - [j202]Xue-Lei Jing, Quan-Ke Pan, Liang Gao:
Local search-based metaheuristics for the robust distributed permutation flowshop problem. Appl. Soft Comput. 105: 107247 (2021) - [j201]Kaipu Wang, Xinyu Li, Liang Gao, Peigen Li, Surendra M. Gupta:
A genetic simulated annealing algorithm for parallel partial disassembly line balancing problem. Appl. Soft Comput. 107: 107404 (2021) - [j200]Jiang-Ping Huang, Quan-Ke Pan, Liang Gao, Ling Wang:
An effective iterated greedy algorithm for PCBs grouping problem to minimize setup times. Appl. Soft Comput. 112: 107830 (2021) - [j199]Ying-Ying Huang, Quan-Ke Pan, Jiang-Ping Huang, Ponnuthurai N. Suganthan, Liang Gao:
An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem. Comput. Ind. Eng. 152: 107021 (2021) - [j198]Jitao Zhang, Weiming Shen, Liang Gao, Xinyu Li, Long Wen:
Time Series Classification by Shapelet Dictionary Learning with SVM-Based Ensemble Classifier. Comput. Intell. Neurosci. 2021: 5586273:1-5586273:13 (2021) - [j197]Jiang-Ping Huang, Quan-Ke Pan, Zhong-Hua Miao, Liang Gao:
Effective constructive heuristics and discrete bee colony optimization for distributed flowshop with setup times. Eng. Appl. Artif. Intell. 97: 104016 (2021) - [j196]Shuai Chen, Quan-Ke Pan, Liang Gao, Hong-yan Sang:
A population-based iterated greedy algorithm to minimize total flowtime for the distributed blocking flowshop scheduling problem. Eng. Appl. Artif. Intell. 104: 104375 (2021) - [j195]Jia-Yang Mao, Quan-Ke Pan, Zhong-Hua Miao, Liang Gao:
An effective multi-start iterated greedy algorithm to minimize makespan for the distributed permutation flowshop scheduling problem with preventive maintenance. Expert Syst. Appl. 169: 114495 (2021) - [j194]Jinhao Zhang, Mi Xiao, Liang Gao:
A new local update-based method for reliability-based design optimization. Eng. Comput. 37(4): 3591-3603 (2021) - [j193]Wenda Wu, Wei Ji, Lihui Wang, Liang Gao:
Machine learning algorithms benchmarking for real-time fault predictable scheduling on a shop floor. Int. J. Manuf. Res. 16(1): 1-20 (2021) - [j192]Jie Xu, Mi Xiao, Hao Li, Liang Gao:
An effective design method for mechanical metamaterials with negative Poisson's ratios. Int. J. Manuf. Res. 16(3): 309-324 (2021) - [j191]Yingli Li, Xinyu Li, Liang Gao, Biao Zhang, Quan-Ke Pan, Mehmet Fatih Tasgetiren, Leilei Meng:
A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times. Int. J. Prod. Res. 59(13): 3880-3899 (2021) - [j190]Jiajun Zhou, Liang Gao, Xinyu Li, Chunjiang Zhang, Chengyu Hu:
Hyperplane-driven and projection-assisted search for solving many-objective optimization problems. Inf. Sci. 574: 394-412 (2021) - [j189]Jiajing Li, Liang Gao, Mengli Ye, Hao Li, Lizhou Li:
Topology optimization of irregular flow domain by parametric level set method in unstructured mesh. J. Comput. Des. Eng. 9(1): 100-113 (2021) - [j188]Yiping Gao, Xinyu Li, Liang Gao:
A Deep Lifelong Learning Method for Digital-Twin Driven Defect Recognition With Novel Classes. J. Comput. Inf. Sci. Eng. 21(3) (2021) - [j187]Wenchao Yi, Liang Gao, Zhi Pei, Jiansha Lu, Yong Chen:
ε Constrained differential evolution using halfspace partition for optimization problems. J. Intell. Manuf. 32(1): 157-178 (2021) - [j186]Qihao Liu, Xinyu Li, Liang Gao:
Mathematical modeling and a hybrid evolutionary algorithm for process planning. J. Intell. Manuf. 32(3): 781-797 (2021) - [j185]Fan Li, Liang Gao, Akhil Garg, Weiming Shen, Shifeng Huang:
A comparative study of pre-screening strategies within a surrogate-assisted multi-objective algorithm framework for computationally expensive problems. Neural Comput. Appl. 33(9): 4387-4416 (2021) - [j184]Chunjiang Zhang, Jiawei Tan, Kunkun Peng, Liang Gao, Weiming Shen, Kunlei Lian:
A discrete whale swarm algorithm for hybrid flow-shop scheduling problem with limited buffers. Robotics Comput. Integr. Manuf. 68: 102081 (2021)