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Xinyu Li 0001
Person information
- affiliation: Huazhong University of Science and Technology, School of Mechanical, Wuhan, China
Other persons with the same name
- Xinyu Li — disambiguation page
- Xinyu Li 0002 — The University of Hong Kong (HKU)
- Xinyu Li 0003 — Amazon Web Service, AWS AI Labs, Seattle, USA (and 1 more)
- Xinyu Li 0004 — Monash University, Australia
- Xinyu Li 0005 — Donghua University, College of Mechanical Engineering, Shanghai, China (and 2 more)
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2020 – today
- 2025
- [j174]Yuxin Li, Xinyu Li, Liang Gao, Zhibing Lu:
Multi-agent deep reinforcement learning for dynamic reconfigurable shop scheduling considering batch processing and worker cooperation. Robotics Comput. Integr. Manuf. 91: 102834 (2025) - 2024
- [j173]Sihan Wang, Xinyu Li, Liang Gao, Jiahang Li:
A multi-disjunctive-graph model-based memetic algorithm for the distributed job shop scheduling problem. Adv. Eng. Informatics 60: 102401 (2024) - [j172]Zhaofu Li, Liang Gao, Xinyu Li, Yiping Gao:
ACAT-transformer: Adaptive classifier with attention-wise transformation for few-sample surface defect recognition. Adv. Eng. Informatics 61: 102527 (2024) - [j171]Youjie Yao, Qingzheng Wang, Cuiyu Wang, Xinyu Li, Liang Gao, Kai Xia:
Knowledge-based multi-objective evolutionary algorithm for energy-efficient flexible job shop scheduling with mobile robot transportation. Adv. Eng. Informatics 62: 102647 (2024) - [j170]Lin Gui, Xinyu Li, Qingfu Zhang, Liang Gao:
A uniform sampling method for permutation space. Ann. Oper. Res. 338(2): 925-945 (2024) - [j169]Chao Lu, Jiajun Zhou, Liang Gao, Xinyu Li, Junliang Wang:
Modeling and multi-objective optimization for energy-aware scheduling of distributed hybrid flow-shop. Appl. Soft Comput. 156: 111508 (2024) - [j168]Jiahang Li, Xinyu Li, Liang Gao:
An operator-inspired framework for metaheuristics and its applications on job-shop scheduling problems. Appl. Soft Comput. 157: 111522 (2024) - [j167]Yue Teng, Xinyu Li, Liang Gao, Jin Xie, Yang Li:
An improved co-evolutionary memetic algorithm based on novel schedule type and unconditional feasibility for hybrid flow-shop scheduling problem. Comput. Ind. Eng. 193: 110324 (2024) - [j166]Jiang-Ping Huang, Liang Gao, Xinyu Li:
An end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem. Expert Syst. Appl. 238(Part A): 121756 (2024) - [j165]Mengzhen Zhuang, Wei Zhang, Hongtao Tang, Xinyu Li, Kaipu Wang:
A multi-objective genetic algorithm based on two-stage reinforcement learning for green flexible shop scheduling problem considering machine speed. Expert Syst. Appl. 258: 125189 (2024) - [j164]Yiping Gao, Xinyu Li, Liang Gao:
A Multi-level spatial feature fusion-based transformer for intelligent defect recognition with small samples toward smart manufacturing system. Int. J. Comput. Integr. Manuf. 37(1-2): 4-17 (2024) - [j163]Hanghao Cui, Xinyu Li, Liang Gao, Chunjiang Zhang:
Multi-population genetic algorithm with greedy job insertion inter-factory neighbourhoods for multi-objective distributed hybrid flow-shop scheduling with unrelated-parallel machines considering tardiness. Int. J. Prod. Res. 62(12): 4427-4445 (2024) - [j162]Haojie Chen, Xinyu Li, Liang Gao:
A surrogate-assisted dual-tree genetic programming framework for dynamic resource constrained multi-project scheduling problem. Int. J. Prod. Res. 62(16): 5631-5653 (2024) - [j161]You-Jie Yao, Lin Gui, Xinyu Li, Liang Gao:
Tabu search based on novel neighborhood structures for solving job shop scheduling problem integrating finite transportation resources. Robotics Comput. Integr. Manuf. 89: 102782 (2024) - [j160]Jiahang Li, Liang Gao, Xinyu Li:
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications. Swarm Evol. Comput. 84: 101457 (2024) - [j159]Shichen Tian, Chunjiang Zhang, Jiaxin Fan, Xinyu Li, Liang Gao:
A genetic algorithm with critical path-based variable neighborhood search for distributed assembly job shop scheduling problem. Swarm Evol. Comput. 85: 101485 (2024) - [j158]Youjie Yao, Xinyu Li, Liang Gao:
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs. Swarm Evol. Comput. 87: 101544 (2024) - [j157]Haoran Li, Xinyu Li, Liang Gao:
An iterated greedy algorithm with acceleration of job allocation probability for distributed heterogeneous permutation flowshop scheduling problem. Swarm Evol. Comput. 88: 101580 (2024) - [j156]Jin Xie, Liang Gao, Xinyu Li, Lin Gui:
A hybrid genetic tabu search algorithm for distributed job-shop scheduling problems. Swarm Evol. Comput. 90: 101670 (2024) - [j155]Qihao Liu, Xinyu Li, Liang Gao, Jiaxin Fan:
A Multi-MILP Model Collaborative Optimization Method for Integrated Process Planning and Scheduling Problem. IEEE Trans. Engineering Management 71: 4574-4586 (2024) - [j154]Kaipu Wang, Yibing Li, Jun Guo, Liang Gao, Xinyu Li:
Dynamic Balancing of U-Shaped Robotic Disassembly Lines Using an Effective Deep Reinforcement Learning Approach. IEEE Trans. Ind. Informatics 20(4): 6855-6865 (2024) - [j153]Li Wang, Yiping Gao, Xinyu Li, Liang Gao:
Self-Supervised-Enabled Open-Set Cross-Domain Fault Diagnosis Method for Rotating Machinery. IEEE Trans. Ind. Informatics 20(8): 10314-10324 (2024) - [j152]Chen Sun, Liang Gao, Xinyu Li, Pai Zheng, Yiping Gao:
An Incremental Knowledge Learning Framework for Continuous Defect Detection. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j151]Qian Wan, Yunkang Cao, Liang Gao, Xinyu Li, Yiping Gao:
Deep Feature Contrasting for Industrial Image Anomaly Segmentation. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [c63]Shenqiang Ke, Liang Gao, Xinyu Li, Yiping Gao:
Open-Set Fault Diagnosis based on Prototype Learning with Dual Category-Classifier. CASE 2024: 3201-3206 - [c62]Tianhong Wang, Yue Teng, Chunjiang Zhang, Yiping Gao, Xinyu Li:
A Hybrid Genetic Algorithm for Flexible Job Shop Scheduling Problem with Batch Processing Machines. CSCWD 2024: 1893-1898 - [c61]Junfei Du, Xinyu Li, Liang Gao, Yiping Gao:
Desirable Properties Based Neural Network Explanations Evaluation Method for Fault Diagnosis. ICIC (LNAI 4) 2024: 3-16 - 2023
- [b2]Chao Lu, Liang Gao, Xinyu Li, Lvjiang Yin:
Intelligence Optimization for Green Scheduling in Manufacturing Systems. Springer 2023, ISBN 978-981-99-6986-9, pp. 1-250 - [j150]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) - [j149]Jiang-Ping Huang, Liang Gao, Xinyu Li, Chunjiang Zhang:
A cooperative hierarchical deep reinforcement learning based multi-agent method for distributed job shop scheduling problem with random job arrivals. Comput. Ind. Eng. 185: 109650 (2023) - [j148]Kaipu Wang, Jun Guo, Baigang Du, Yibing Li, Hongtao Tang, Xinyu Li, Liang Gao:
A novel MILP model and an improved genetic algorithm for disassembly line balancing and sequence planning with partial destructive mode. Comput. Ind. Eng. 186: 109704 (2023) - [j147]Qihao Liu, Cuiyu Wang, Xinyu Li, Liang Gao:
A multi-population co-evolutionary algorithm for green integrated process planning and scheduling considering logistics system. Eng. Appl. Artif. Intell. 126: 107030 (2023) - [j146]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) - [j145]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) - [j144]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) - [j143]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) - [j142]You-Jie Yao, Qi-Hao Liu, Xinyu Li, Liang Gao:
A novel MILP model for job shop scheduling problem with mobile robots. Robotics Comput. Integr. Manuf. 81: 102506 (2023) - [j141]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) - [j140]Haojie Chen, Xinyu Li, Liang Gao:
A guided genetic programming with attribute node activation encoding for resource constrained project scheduling problem. Swarm Evol. Comput. 83: 101418 (2023) - [j139]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) - [j138]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) - [j137]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) - [j136]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) - [j135]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) - [c60]Yue Teng, Xinyu Li, Qihao Liu, Shichen Tian, Wenxin Ma, Chunjiang Zhang:
A Hybrid Co-Evolutionary Algorithm for the PBS Scheduling Problem in Automobile Industry. CASE 2023: 1-6 - [c59]Youjie Yao, Cuiyu Wang, Yiping Gao, Xinyu Li, Liang Gao:
An Adaptive Discrete Whale Swarm Algorithm for the Distributed Job-Shop Scheduling Problem with Limited AGVs. CASE 2023: 1-6 - [c58]Yuwen Zhai, Jing Hao, Liang Gao, Xinyu Li, Yiping Gao, Shumin Han:
Simple Parameter-free Self-attention Approximation. Tiny Papers @ ICLR 2023 - [c57]Yang Li, Xinyu Li, Liang Gao, Cuiyu Wang, Yue Teng:
Distributed Permutation Flow Shop Scheduling Method Based on Efficient Job Allocation Strategy. IEEM 2023: 1421-1425 - [i6]Yuwen Zhai, Jing Hao, Liang Gao, Xinyu Li, Yiping Gao, Shumin Han:
Simple parameter-free self-attention approximation. CoRR abs/2307.12018 (2023) - 2022
- [j134]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) - [j133]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) - [j132]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) - [j131]Cuiyu Wang, Li Zhao, Xinyu Li, Yang Li:
An improved grey wolf optimizer for welding shop inverse scheduling. Comput. Ind. Eng. 163: 107809 (2022) - [j130]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) - [j129]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) - [j128]Xinjing Wang, Liang Gao, Xinyu Li:
Multiple surrogates and offspring-assisted differential evolution for high-dimensional expensive problems. Inf. Sci. 592: 174-191 (2022) - [j127]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) - [j126]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) - [j125]Wen Chen, Weiming Shen, Liang Gao, Xinyu Li:
Hybrid Loss-Constrained Lightweight Convolutional Neural Networks for Cervical Cell Classification. Sensors 22(9): 3272 (2022) - [j124]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) - [j123]Junfei Du, Xinyu Li, Yiping Gao, Liang Gao:
Integrated Gradient-Based Continuous Wavelet Transform for Bearing Fault Diagnosis. Sensors 22(22): 8760 (2022) - [j122]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) - [j121]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) - [j120]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) - [j119]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) - [j118]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) - [j117]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) - [j116]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) - [j115]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) - [j114]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) - [j113]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) - [j112]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) - [j111]Long Wen, You Wang, Xinyu Li:
A New Cycle-consistent Adversarial Networks With Attention Mechanism for Surface Defect Classification With Small Samples. IEEE Trans. Ind. Informatics 18(12): 8988-8998 (2022) - [j110]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) - [j109]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) - [j108]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) - [c56]Jinhua Hu, Yan-Ning Sun, Hongwei Xu, Zhanluo Zhang, Wei Qin, Xinyu Li:
Causality-based Prediction Method for the Diesel Engine Assembly Line System. CASE 2022: 199-204 - [c55]Zhaofu Li, Liang Gao, Xinyu Li:
A Logit Adjusting Transformer for Class Imbalance in Surface Defect Recognition. CASE 2022: 870-875 - [c54]Qian Wan, Yunkang Cao, Liang Gao, Weiming Shen, Xinyu Li:
Position Encoding Enhanced Feature Mapping for Image Anomaly Detection. CASE 2022: 876-881 - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [i5]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
- [j107]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) - [j106]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) - [j105]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) - [j104]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) - [j103]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) - [j102]Xinyu Li, Sican Cao, Liang Gao, Long Wen:
A Threshold-Control Generative Adversarial Network Method for Intelligent Fault Diagnosis. Complex Syst. Model. Simul. 1(1): 55-64 (2021) - [j101]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) - [j100]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) - [j99]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) - [j98]Qihao Liu, Xinyu Li, Liang Gao:
Mathematical modeling and a hybrid evolutionary algorithm for process planning. J. Intell. Manuf. 32(3): 781-797 (2021) - [j97]Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li:
A new graph-based semi-supervised method for surface defect classification. Robotics Comput. Integr. Manuf. 68: 102083 (2021) - [j96]Chao Lu, Liang Gao, Wenyin Gong, Chengyu Hu, Xuesong Yan, Xinyu Li:
Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm. Swarm Evol. Comput. 60: 100803 (2021) - [j95]Guangchen Wang, Xinyu Li, Liang Gao, Peigen Li:
Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D. Swarm Evol. Comput. 62: 100858 (2021) - [j94]Qihao Liu, Xinyu Li, Liang Gao, Yingli Li:
A Modified Genetic Algorithm With New Encoding and Decoding Methods for Integrated Process Planning and Scheduling Problem. IEEE Trans. Cybern. 51(9): 4429-4438 (2021) - [j93]Jiajun Zhou, Liang Gao, Xinyu Li:
Ensemble of Dynamic Resource Allocation Strategies for Decomposition-Based Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(4): 710-723 (2021) - [j92]Long Wen, Xinyu Li, Liang Gao:
A New Reinforcement Learning Based Learning Rate Scheduler for Convolutional Neural Network in Fault Classification. IEEE Trans. Ind. Electron. 68(12): 12890-12900 (2021) - [j91]Yiping Gao, Liang Gao, Xinyu Li:
A Generative Adversarial Network Based Deep Learning Method for Low-Quality Defect Image Reconstruction and Recognition. IEEE Trans. Ind. Informatics 17(5): 3231-3240 (2021) - [j90]Chao Lu, Liang Gao, Jin Yi, Xinyu Li:
Energy-Efficient Scheduling of Distributed Flow Shop With Heterogeneous Factories: A Real-World Case From Automobile Industry in China. IEEE Trans. Ind. Informatics 17(10): 6687-6696 (2021) - [j89]Yucheng Wang, Liang Gao, Xinyu Li, Yiping Gao, Xiaotong Xie:
A New Graph-Based Method for Class Imbalance in Surface Defect Recognition. IEEE Trans. Instrum. Meas. 70: 1-16 (2021) - [j88]Long Wen, Liang Gao, Xinyu Li, Bing Zeng:
Convolutional Neural Network With Automatic Learning Rate Scheduler for Fault Classification. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [c49]Chunjiang Zhang, Kaixin Wang, Qingji Ma, Xinyu Li, Liang Gao:
A Discrete Grey Wolf Optimizer for Solving Flexible Job Shop Scheduling Problem with Lot-streaming. CSCWD 2021: 969-974 - [c48]Sihan Wang, Xinyu Li, Liang Gao, Lijian Wang:
An Improved Genetic Algorithm for Distributed Job Shop Scheduling Problem. ICIC (1) 2021: 37-47 - [c47]Qian Wan, Liang Gao, Lijian Wang, Xinyu Li:
Partial Distillation of Deep Feature for Unsupervised Image Anomaly Detection and Segmentation. ICIC (1) 2021: 238-250 - [c46]Cuiyu Wang, Shuting Wang, Xinyu Li:
A Hybrid Algorithm for Multi-objective Permutation Flow Shop Scheduling Problem with Setup Times. ICSI (2) 2021: 34-44 - [c45]Yiping Gao, Liang Gao, Xinyu Li, Cuiyu Wang:
A Genetic Algorithm-Based Ensemble Convolutional Neural Networks for Defect Recognition with Small-Scale Samples. ICSI (1) 2021: 390-398 - [i4]Jin Xie, Xinyu Li, Liang Gao, Lin Gui:
A new neighborhood structure for job shop scheduling problems. CoRR abs/2109.02843 (2021) - 2020
- [b1]Xinyu Li, Liang Gao:
Effective Methods for Integrated Process Planning and Scheduling. Springer 2020, ISBN 978-3-662-55303-9, pp. 1-462 - [j87]Yingli Li, Xinyu Li, Liang Gao, Leilei Meng:
An improved artificial bee colony algorithm for distributed heterogeneous hybrid flowshop scheduling problem with sequence-dependent setup times. Comput. Ind. Eng. 147: 106638 (2020) - [j86]Yiping Gao, Xinyu Li, Liang Gao:
Discriminative stacked autoencoder for feature representation and classification. Sci. China Inf. Sci. 63(2): 120111 (2020) - [j85]Yiping Gao, Liang Gao, Xinyu Li, Yuwei Zheng:
A zero-shot learning method for fault diagnosis under unknown working loads. J. Intell. Manuf. 31(4): 899-909 (2020) - [j84]Yuyan Zhang, Xinyu Li, Liang Gao, Wen Chen, Peigen Li:
Ensemble deep contractive auto-encoders for intelligent fault diagnosis of machines under noisy environment. Knowl. Based Syst. 196: 105764 (2020) - [j83]Chao Lu, Liang Gao, Xinyu Li, Chengyu Hu, Xuesong Yan, Wenyin Gong:
Chaotic-based grey wolf optimizer for numerical and engineering optimization problems. Memetic Comput. 12(4): 371-398 (2020) - [j82]Bing Zeng, Xinyu Li, Liang Gao, Yuyan Zhang, Haozhen Dong:
Whale swarm algorithm with the mechanism of identifying and escaping from extreme points for multimodal function optimization. Neural Comput. Appl. 32(9): 5071-5091 (2020) - [j81]Long Wen, Xinyu Li, Liang Gao:
A transfer convolutional neural network for fault diagnosis based on ResNet-50. Neural Comput. Appl. 32(10): 6111-6124 (2020) - [j80]Kaipu Wang, Liang Gao, Xinyu Li:
A multi-objective algorithm for U-shaped disassembly line balancing with partial destructive mode. Neural Comput. Appl. 32(16): 12715-12736 (2020) - [j79]Yiping Gao, Liang Gao, Xinyu Li, Xuguo Yan:
A semi-supervised convolutional neural network-based method for steel surface defect recognition. Robotics Comput. Integr. Manuf. 61: 101825 (2020) - [j78]Yanan Song, Liang Gao, Xinyu Li, Weiming Shen:
A novel robotic grasp detection method based on region proposal networks. Robotics Comput. Integr. Manuf. 65: 101963 (2020) - [j77]Yanan Song, Liang Gao, Xinyu Li, Weiming Shen:
A Novel Point Cloud Encoding Method Based on Local Information for 3D Classification and Segmentation. Sensors 20(9): 2501 (2020) - [j76]Xinyu Li, Chunjiang Zhang:
Some new trends of intelligent simulation optimization and scheduling in intelligent manufacturing. Serv. Oriented Comput. Appl. 14(3): 149-151 (2020) - [j75]Guangchen Wang, Liang Gao, Xinyu Li, Peigen Li, Mehmet Fatih Tasgetiren:
Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm. Swarm Evol. Comput. 57: 100716 (2020) - [j74]Xiwen Cai, Liang Gao, Xinyu Li:
Efficient Generalized Surrogate-Assisted Evolutionary Algorithm for High-Dimensional Expensive Problems. IEEE Trans. Evol. Comput. 24(2): 365-379 (2020) - [j73]Long Wen, Xinyu Li, Liang Gao:
A New Two-Level Hierarchical Diagnosis Network Based on Convolutional Neural Network. IEEE Trans. Instrum. Meas. 69(2): 330-338 (2020) - [j72]Yiping Gao, Liang Gao, Xinyu Li, Xi Vincent Wang:
A Multilevel Information Fusion-Based Deep Learning Method for Vision-Based Defect Recognition. IEEE Trans. Instrum. Meas. 69(7): 3980-3991 (2020) - [j71]Biao Zhang, Quan-Ke Pan, Liang Gao, Leilei Meng, Xinyu Li, Kunkun Peng:
A Three-Stage Multiobjective Approach Based on Decomposition for an Energy-Efficient Hybrid Flow Shop Scheduling Problem. IEEE Trans. Syst. Man Cybern. Syst. 50(12): 4984-4999 (2020) - [c44]Haoran Zhong, Xinyu Li, Liang Gao:
Adaptive Delay Compensation for Admittance Control of Hydraulic Series Elastic Actuator. CASE 2020: 384-389 - [c43]Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li, Lili Gao:
Knowledge Graph-guided Convolutional Neural Network for Surface Defect Recognition. CASE 2020: 594-599 - [c42]Yiping Gao, Liang Gao, Xinyu Li:
A New Semi-Supervised Deep Learning Approach for Intelligent Defects Recognition. ICNSC 2020: 1-4
2010 – 2019
- 2019
- [j70]Long Wen, Liang Gao, Xinyu Li:
A New Snapshot Ensemble Convolutional Neural Network for Fault Diagnosis. IEEE Access 7: 32037-32047 (2019) - [j69]Yanan Song, Liang Gao, Xinyu Li, Quan-Ke Pan:
An Effective Encoding Method Based on Local Information for 3D Point Cloud Classification. IEEE Access 7: 39369-39377 (2019) - [j68]Chao Lu, Liang Gao, Quan-Ke Pan, Xinyu Li, Jun Zheng:
A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution. Appl. Soft Comput. 75: 728-749 (2019) - [j67]Quan-Ke Pan, Liang Gao, Xinyu Li, Jose M. Framiñan:
Effective constructive heuristics and meta-heuristics for the distributed assembly permutation flowshop scheduling problem. Appl. Soft Comput. 81 (2019) - [j66]Kaipu Wang, Xinyu Li, Liang Gao:
A multi-objective discrete flower pollination algorithm for stochastic two-sided partial disassembly line balancing problem. Comput. Ind. Eng. 130: 634-649 (2019) - [j65]Xinyu Li, Liang Gao, Wenwen Wang, Cuiyu Wang, Long Wen:
Particle swarm optimization hybridized with genetic algorithm for uncertain integrated process planning and scheduling with interval processing time. Comput. Ind. Eng. 135: 1036-1046 (2019) - [j64]Biao Zhang, Quan-Ke Pan, Liang Gao, Xinyu Li, Leilei Meng, Kunkun Peng:
A multiobjective evolutionary algorithm based on decomposition for hybrid flowshop green scheduling problem. Comput. Ind. Eng. 136: 325-344 (2019) - [j63]Quan-Ke Pan, Liang Gao, Ling Wang, Jing Liang, Xinyu Li:
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem. Expert Syst. Appl. 124: 309-324 (2019) - [j62]Jiajun Zhou, Liang Gao, Xifan Yao, Felix T. S. Chan, Jianming Zhang, Xinyu Li, Yingzi Lin:
A decomposition and statistical learning based many-objective artificial bee colony optimizer. Inf. Sci. 496: 82-108 (2019) - [j61]Jiajun Zhou, Xifan Yao, Felix T. S. Chan, Liang Gao, Xuan Jing, Xinyu Li, Yingzi Lin, Yun Li:
A decomposition based evolutionary algorithm with direction vector adaption and selection enhancement. Inf. Sci. 501: 248-271 (2019) - [j60]Guomin Li, Xinyu Li, Liang Gao, Bing Zeng:
Tasks assigning and sequencing of multiple AGVs based on an improved harmony search algorithm. J. Ambient Intell. Humaniz. Comput. 10(11): 4533-4546 (2019) - [j59]Jin Yi, Xinyu Li, Chih-Hsing Chu, Liang Gao:
Parallel chaotic local search enhanced harmony search algorithm for engineering design optimization. J. Intell. Manuf. 30(1): 405-428 (2019) - [j58]Jin Yi, Liang Gao, Xinyu Li, Christine A. Shoemaker, Chao Lu:
An on-line variable-fidelity surrogate-assisted harmony search algorithm with multi-level screening strategy for expensive engineering design optimization. Knowl. Based Syst. 170: 1-19 (2019) - [j57]Xinyu Li, Shengqiang Xiao, Cuiyu Wang, Jin Yi:
Mathematical modeling and a discrete artificial bee colony algorithm for the welding shop scheduling problem. Memetic Comput. 11(4): 371-389 (2019) - [j56]Jianhui Mou, Liang Gao, Qianjian Guo, Rufeng Xu, Xinyu Li:
Hybrid optimization algorithms by various structures for a real-world inverse scheduling problem with uncertain due-dates under single-machine shop systems. Neural Comput. Appl. 31(9): 4595-4612 (2019) - [j55]Kaipu Wang, Xinyu Li, Liang Gao, Akhil Garg:
Partial disassembly line balancing for energy consumption and profit under uncertainty. Robotics Comput. Integr. Manuf. 59: 235-251 (2019) - [j54]Haoran Zhong, Chenghao Hu, Xinyu Li, Liang Gao, Bing Zeng, Haozhen Dong:
Kinematic calibration method for a two-segment hydraulic leg based on an improved whale swarm algorithm. Robotics Comput. Integr. Manuf. 59: 361-372 (2019) - [j53]Kunkun Peng, Quan-Ke Pan, Liang Gao, Xinyu Li, Swagatam Das, Biao Zhang:
A multi-start variable neighbourhood descent algorithm for hybrid flowshop rescheduling. Swarm Evol. Comput. 45: 92-112 (2019) - [j52]Xiwen Cai, Liang Gao, Xinyu Li, Haobo Qiu:
Surrogate-guided differential evolution algorithm for high dimensional expensive problems. Swarm Evol. Comput. 48: 288-311 (2019) - [j51]Long Wen, Liang Gao, Xinyu Li:
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis. IEEE Trans. Syst. Man Cybern. Syst. 49(1): 136-144 (2019) - [j50]Xinyu Li, Liang Gao, Quan-Ke Pan, Liang Wan, Kuo-Ming Chao:
An Effective Hybrid Genetic Algorithm and Variable Neighborhood Search for Integrated Process Planning and Scheduling in a Packaging Machine Workshop. IEEE Trans. Syst. Man Cybern. Syst. 49(10): 1933-1945 (2019) - [c41]Jitao Zhang, Xinyu Li, Liang Gao, Long Wen, Guokai Liu:
A Shapelet Dictionary Learning Algorithm for Time Series Classification. CASE 2019: 299-304 - [c40]Zhao Zhang, Xinyu Li, Long Wen, Liang Gao, Yiping Gao:
Fault Diagnosis Using Unsupervised Transfer Learning Based on Adversarial Network. CASE 2019: 305-310 - [c39]Meng Zhao, Xinyu Li, Liang Gao, Ling Wang, Mi Xiao:
An improved Q-learning based rescheduling method for flexible job-shops with machine failures. CASE 2019: 331-337 - [c38]Wenbin Song, Mingzhu Lai, Xinyu Li, Yanan Song, Liang Gao:
A New Spectral Clustering Based on Particle Swarm Optimization for Unsupervised Fault Diagnosis of Bearings. CASE 2019: 386-391 - [c37]Yuesheng Luo, Chao Lu, Xinyu Li, Ling Wang, Liang Gao:
Green Job Shop Scheduling Problem with Machine at Different Speeds using a multi-objective grey wolf optimization algorithm*. CASE 2019: 573-578 - [c36]Haozhen Dong, Liang Gao, Xinyu Li, Haorang Zhong, Bing Zeng:
Differential Evolution with Better and Nearest Option for Function Optimization. CEC 2019: 641-645 - [c35]Long Wen, X. Li, Xinyu Li, Liang Gao:
A New Transfer Learning Based on VGG-19 Network for Fault Diagnosis. CSCWD 2019: 205-209 - [c34]Haorang Zhong, Xinyu Li, Liang Gao, Haozhen Dong:
Position Control of Hydraulic Series Elastic Actuator with Parameter Self-Optimization. ICARM 2019: 42-46 - [c33]Yanan Song, Xinyu Li, Liang Gao:
Improved non-maximum suppression for detecting overlapping objects. ICMV 2019: 114330F - [c32]Yiping Gao, Liang Gao, Xinyu Li:
A Hierarchical Feature Fusion-based Method for Defect Recognition with a Small Sample. IEEM 2019: 1048-1052 - 2018
- [j49]Chao Lu, Liang Gao, Xinyu Li, Bing Zeng, Feng Zhou:
A hybrid multi-objective evolutionary algorithm with feedback mechanism. Appl. Intell. 48(11): 4149-4173 (2018) - [j48]Jin Yi, Chih-Hsing Chu, Chi-Lung Kuo, Xinyu Li, Liang Gao:
Optimized tool path planning for five-axis flank milling of ruled surfaces using geometric decomposition strategy and multi-population harmony search algorithm. Appl. Soft Comput. 73: 547-561 (2018) - [j47]Yuyan Zhang, Xinyu Li, Liang Gao, Peigen Li:
A new subset based deep feature learning method for intelligent fault diagnosis of bearing. Expert Syst. Appl. 110: 125-142 (2018) - [j46]Jianhui Mou, Xinyu Li, Liang Gao, Wenchao Yi:
An effective L-MONG algorithm for solving multi-objective flow-shop inverse scheduling problems. J. Intell. Manuf. 29(4): 789-807 (2018) - [j45]Wenchao Yi, Yinzhi Zhou, Liang Gao, Xinyu Li, Chunjiang Zhang:
Engineering design optimization using an improved local search based epsilon differential evolution algorithm. J. Intell. Manuf. 29(7): 1559-1580 (2018) - [j44]Long Wen, Xinyu Li, Liang Gao, Yuyan Zhang:
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method. IEEE Trans. Ind. Electron. 65(7): 5990-5998 (2018) - [j43]Xinyu Li, Chao Lu, Liang Gao, Shengqiang Xiao, Long Wen:
An Effective Multiobjective Algorithm for Energy-Efficient Scheduling in a Real-Life Welding Shop. IEEE Trans. Ind. Informatics 14(12): 5400-5409 (2018) - [c31]Sican Cao, Long Wen, Xinyu Li, Liang Gao:
Application of Generative Adversarial Networks for Intelligent Fault Diagnosis. CASE 2018: 711-715 - [c30]Ghiath Al Aqel, Xinyu Li, Liang Gao, Wenyin Gong, Rui Wang, Teng Ren, Guohua Wu:
Using Iterated Greedy with a New Population Approach for the Flexible Jobshop Scheduling Problem. IEEM 2018: 1235-1239 - [i3]Bing Zeng, Xinyu Li, Liang Gao, Yuyan Zhang:
Whale swarm algorithm with iterative counter for multimodal function optimization. CoRR abs/1804.02851 (2018) - [i2]Haozhen Dong, Liang Gao, Xinyu Li, Haorang Zhong, Bing Zeng:
Differential Evolution with Nearest & Better Option for Function Optimization. CoRR abs/1812.07608 (2018) - 2017
- [j42]Quan-Ke Pan, Liang Gao, Xinyu Li, Kai-Zhou Gao:
Effective metaheuristics for scheduling a hybrid flowshop with sequence-dependent setup times. Appl. Math. Comput. 303: 89-112 (2017) - [j41]Chao Lu, Xinyu Li, Liang Gao, Wei Liao, Jin Yi:
An effective multi-objective discrete virus optimization algorithm for flexible job-shop scheduling problem with controllable processing times. Comput. Ind. Eng. 104: 156-174 (2017) - [j40]Jianhui Mou, Liang Gao, Xinyu Li, Quanke Pan, Jiancai Mu:
Multi-objective inverse scheduling optimization of single-machine shop system with uncertain due-dates and processing times. Clust. Comput. 20(1): 371-390 (2017) - [j39]Chao Lu, Liang Gao, Xinyu Li, Shengqiang Xiao:
A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry. Eng. Appl. Artif. Intell. 57: 61-79 (2017) - [j38]Bing Zeng, Yan Dong, Xinyu Li, Liang Gao:
IHSCR: Energy-efficient clustering and routing for wireless sensor networks based on harmony search algorithm. Int. J. Distributed Sens. Networks 13(11) (2017) - [j37]Lvjiang Yin, Xinyu Li, Liang Gao, Chao Lu, Zhao Zhang:
A novel mathematical model and multi-objective method for the low-carbon flexible job shop scheduling problem. Sustain. Comput. Informatics Syst. 13: 15-30 (2017) - [j36]Yinzhi Zhou, Wenchao Yi, Liang Gao, Xinyu Li:
Adaptive Differential Evolution With Sorting Crossover Rate for Continuous Optimization Problems. IEEE Trans. Cybern. 47(9): 2742-2753 (2017) - [c29]Lvjiang Yin, Liang Gao, Xinyu Li, Hao Xia:
An improved genetic algorithm with rolling window technology for dynamic integrated process planning and scheduling problem. CSCWD 2017: 414-419 - [c28]Jiayang Wu, Jin Yi, Liang Gao, Xinyu Li:
Cooperative path planning of multiple UAVs based on PH curves and harmony search algorithm. CSCWD 2017: 540-544 - [c27]Yuyan Zhang, Liang Gao, Xinyu Li, Peigen Li:
A Novel Data-Driven Fault Diagnosis Method Based on Deep Learning. DMBD 2017: 442-452 - [c26]Bing Zeng, Liang Gao, Xinyu Li:
Whale Swarm Algorithm for Function Optimization. ICIC (1) 2017: 624-639 - [i1]Bing Zeng, Liang Gao, Xinyu Li:
Whale swarm algorithm for function optimization. CoRR abs/1702.03389 (2017) - 2016
- [j35]Chao Lu, Shengqiang Xiao, Xinyu Li, Liang Gao:
An effective multi-objective discrete grey wolf optimizer for a real-world scheduling problem in welding production. Adv. Eng. Softw. 99: 161-176 (2016) - [j34]Jin Yi, Liang Gao, Xinyu Li, Jie Gao:
An efficient modified harmony search algorithm with intersect mutation operator and cellular local search for continuous function optimization problems. Appl. Intell. 44(3): 725-753 (2016) - [j33]Yinzhi Zhou, Wenchao Yi, Liang Gao, Xinyu Li:
Analysis of mutation vectors selection mechanism in differential evolution. Appl. Intell. 44(4): 904-912 (2016) - [j32]Hao Xia, Xinyu Li, Liang Gao:
A hybrid genetic algorithm with variable neighborhood search for dynamic integrated process planning and scheduling. Comput. Ind. Eng. 102: 99-112 (2016) - [j31]Kai Xia, Liang Gao, Lihui Wang, Weidong Li, Xinyu Li, Winifred Ijomah:
Service-oriented disassembly sequence planning for electrical and electronic equipment waste. Electron. Commer. Res. Appl. 20: 59-68 (2016) - [j30]Wenchao Yi, Yinzhi Zhou, Liang Gao, Xinyu Li, Jianhui Mou:
An improved adaptive differential evolution algorithm for continuous optimization. Expert Syst. Appl. 44: 1-12 (2016) - [j29]Wenchao Yi, Xinyu Li, Liang Gao, Yinzhi Zhou, Jida Huang:
ε constrained differential evolution with pre-estimated comparison using gradient-based approximation for constrained optimization problems. Expert Syst. Appl. 44: 37-49 (2016) - [j28]Wenchao Yi, Xinyu Li, Baolin Pan:
Solving flexible job shop scheduling using an effective memetic algorithm. Int. J. Comput. Appl. Technol. 53(2): 157-163 (2016) - [c25]Chunjiang Zhang, Yang Wu, Liang Gao, Xinyu Li:
A new constraint handling method for differential evolution solving non-convex economic dispatch problems with valve loading effect. CEC 2016: 1070-1076 - [c24]Wenchao Yi, Liang Gao, Yinzhi Zhou, Xinyu Li:
Differential evolution algorithm with variable neighborhood search for hybrid flow shop scheduling problem. CSCWD 2016: 233-238 - [c23]Lvjiang Yin, Xinyu Li, Liang Gao, Chao Lu:
A new improved fruit fly optimization algorithm for traveling salesman problem. ICACI 2016: 21-28 - 2015
- [j27]Wenchao Yi, Liang Gao, Xinyu Li, Yinzhi Zhou:
A new differential evolution algorithm with a hybrid mutation operator and self-adapting control parameters for global optimization problems. Appl. Intell. 42(4): 642-660 (2015) - [j26]Jida Huang, Liang Gao, Xinyu Li:
An effective teaching-learning-based cuckoo search algorithm for parameter optimization problems in structure designing and machining processes. Appl. Soft Comput. 36: 349-356 (2015) - [j25]Chi-Lung Kuo, Chih-Hsing Chu, Ying Li, Xinyu Li, Liang Gao:
Electromagnetism-like algorithms for optimized tool path planning in 5-axis flank machining. Comput. Ind. Eng. 84: 70-78 (2015) - [j24]Qun Lin, Liang Gao, Xinyu Li, Chunjiang Zhang:
A hybrid backtracking search algorithm for permutation flow-shop scheduling problem. Comput. Ind. Eng. 85: 437-446 (2015) - [j23]Liang Gao, Xinyu Li, Xiaoyu Wen, Chao Lu, Feng Wen:
A hybrid algorithm based on a new neighborhood structure evaluation method for job shop scheduling problem. Comput. Ind. Eng. 88: 417-429 (2015) - [j22]Liang Gao, Yinzhi Zhou, Xinyu Li, Quan-Ke Pan, Wenchao Yi:
Multi-objective optimization based reverse strategy with differential evolution algorithm for constrained optimization problems. Expert Syst. Appl. 42(14): 5976-5987 (2015) - [j21]Chunjiang Zhang, Qun Lin, Liang Gao, Xinyu Li:
Backtracking Search Algorithm with three constraint handling methods for constrained optimization problems. Expert Syst. Appl. 42(21): 7831-7845 (2015) - [c22]Jin Yi, Xinyu Li, Liang Gao, Yongping Chen:
Optimal design of photovoltaic-wind hybrid renewable energy system using a discrete geometric selective harmony search. CSCWD 2015: 499-504 - 2014
- [j20]Hongyan Sang, Liang Gao, Xinyu Li:
An Iterated Local Search Algorithm for the Lot-Streaming Flow Shop Scheduling Problem. Asia Pac. J. Oper. Res. 31(6) (2014) - [j19]Xiaoyu Wen, Xinyu Li, Liang Gao, Hongyan Sang:
Honey bees mating optimization algorithm for process planning problem. J. Intell. Manuf. 25(3): 459-472 (2014) - [j18]Xinyu Li, Xiaoyu Wen, Liang Gao:
An Effective Genetic Algorithm for Multi-objective Integrated Process Planning and Scheduling with Various Flexibilities in Process Planning. J. Univers. Comput. Sci. 20(14): 1926-1950 (2014) - [c21]Chi-Lung Kuo, Chih-Hsing Chu, Ying Li, Xinyu Li, Liang Gao:
Optimized tool path planning in 5-axis flank machining using electromagnetism-like algorithms. IEEM 2014: 973-977 - [c20]Muhammad Farhan Ausaf, Xinyu Li, Liang Gao:
A priority based optimization algorithm for multi-objective integrated process planning and scheduling problem. IEEM 2014: 1327-1331 - 2013
- [j17]Yinzhi Zhou, Xinyu Li, Liang Gao:
A differential evolution algorithm with intersect mutation operator. Appl. Soft Comput. 13(1): 390-401 (2013) - [j16]Long Wen, Liang Gao, Xinyu Li, Liping Zhang:
Free Pattern Search for global optimization. Appl. Soft Comput. 13(9): 3853-3863 (2013) - [j15]Chunjiang Zhang, Xinyu Li, Liang Gao, Qing Wu:
An improved electromagnetism-like mechanism algorithm for constrained optimization. Expert Syst. Appl. 40(14): 5621-5634 (2013) - [j14]Jida Huang, Xinyu Li, Liang Gao:
A new hybrid algorithm for unconstrained optimisation problems. Int. J. Comput. Appl. Technol. 46(3): 187-194 (2013) - [j13]Liping Zhang, Xinyu Li, Long Wen, Guohui Zhang:
An Efficient Memetic Algorithm for Dynamic Flexible Job Shop Scheduling with Random Job Arrivals. Int. J. Softw. Sci. Comput. Intell. 5(1): 63-77 (2013) - [j12]Li Nie, Liang Gao, Peigen Li, Xinyu Li:
A GEP-based reactive scheduling policies constructing approach for dynamic flexible job shop scheduling problem with job release dates. J. Intell. Manuf. 24(4): 763-774 (2013) - [j11]Yang Yang, Xinyu Li, Liang Gao, Xinyu Shao:
A new approach for predicting and collaborative evaluating the cutting force in face milling based on gene expression programming. J. Netw. Comput. Appl. 36(6): 1540-1550 (2013) - [c19]Xiaoyu Wen, Xinyu Li, Liang Gao, Wenwen Wang, Liang Wan:
Improved genetic algorithm with external archive maintenance for multi-objective integrated process planning and scheduling. CSCWD 2013: 385-390 - [c18]Yang Yang, Xinyu Li, Liang Gao:
Parameters optimization of a multi-pass milling process based on imperialist competitive algorithm. CSCWD 2013: 406-410 - [c17]Qing Wu, Xinyu Li, Liang Gao, Ying Li:
A simplified electromagnetism-like mechanism algorithm for tool path planning in 5-axis flank milling. CSCWD 2013: 422-426 - [c16]Liang Wan, Xinyu Li, Liang Gao, Xiaoyu Wen, Wenwen Wang:
A Novel Two-Level Genetic Algorithm for Integrated Process Planning and Scheduling. SMC 2013: 2790-2795 - [c15]Wenwen Wang, Xinyu Li, Liang Gao, Xiaoyu Wen, Liang Wan:
Application of Interval Theory and Genetic Algorithm for Uncertain Integrated Process Planning and Scheduling. SMC 2013: 2796-2801 - [c14]Yinzhi Zhou, Xinyu Li, Liang Gao:
A Novel Two-Layer Hierarchical Differential Evolution Algorithm for Global Optimization. SMC 2013: 2916-2921 - 2012
- [j10]Liang Gao, Jida Huang, Xinyu Li:
An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process. Appl. Soft Comput. 12(11): 3490-3499 (2012) - [j9]Xinyu Li, Liang Gao, Weidong Li:
Application of game theory based hybrid algorithm for multi-objective integrated process planning and scheduling. Expert Syst. Appl. 39(1): 288-297 (2012) - [j8]Xinyu Li, Liang Gao, Xinyu Shao:
An active learning genetic algorithm for integrated process planning and scheduling. Expert Syst. Appl. 39(8): 6683-6691 (2012) - [j7]Xiaojuan Wang, Liang Gao, Chaoyong Zhang, Xinyu Li:
A multi-objective genetic algorithm for fuzzy flexible job-shop scheduling problem. Int. J. Comput. Appl. Technol. 45(2/3): 115-125 (2012) - [c13]Liping Zhang, Xinyu Li, Long Wen, Guohui Zhang:
Scheduling flexible job shop in dynamic environment based on a memetic algorithm. ICCI*CC 2012: 407-412 - [c12]Long Wen, Liang Gao, Xinyu Li, Yang Yang, Guohui Zhang:
Application of Free Pattern Search on the surface roughness prediction in end milling. IEEE Congress on Evolutionary Computation 2012: 1-6 - [c11]Liping Zhang, Xinyu Li, Liang Gao, Guohui Zhang, Xiaoyu Wen:
Dynamic scheduling model in FMS by considering energy consumption and schedule efficiency. CSCWD 2012: 719-724 - [c10]Yang Yang, Xinyu Li, Ping Jiang, Long Wen:
Modeling of cutting forces in a face-milling operation with Gene Expression Programming. CSCWD 2012: 769-774 - 2011
- [j6]Liang Gao, Guohui Zhang, Liping Zhang, Xinyu Li:
An efficient memetic algorithm for solving the job shop scheduling problem. Comput. Ind. Eng. 60(4): 699-705 (2011) - [c9]Xinyu Li, Liang Gao, Liping Zhang, Weidong Li:
An effective multi-swarm collaborative evolutionary algorithm for flexible job shop scheduling problem. CSCWD 2011: 281-284 - [c8]Hongyan Sang, Liang Gao, Xinyu Li:
A Differential Evolution Algorithm for Lot-Streaming Flow Shop Scheduling Problem. ICIC (1) 2011: 576-583 - [c7]Xinyu Li, Liang Gao:
A collaborative evolutionary algorithm for multi-objective flexible job shop scheduling problem. SMC 2011: 997-1002 - [p1]Weidong Li, Lihui Wang, Xinyu Li, Liang Gao:
Intelligent Optimisation for Integrated Process Planning and Scheduling. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing 2011: 305-324 - 2010
- [j5]Xinyu Li, Liang Gao, Xinyu Shao, Chaoyong Zhang, Cuiyu Wang:
Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling. Comput. Oper. Res. 37(4): 656-667 (2010) - [j4]Xinyu Li, Chaoyong Zhang, Liang Gao, Weidong Li, Xinyu Shao:
An agent-based approach for integrated process planning and scheduling. Expert Syst. Appl. 37(2): 1256-1264 (2010) - [j3]Xinyu Li, Liang Gao, Chaoyong Zhang, Xinyu Shao:
A review on Integrated Process Planning and Scheduling. Int. J. Manuf. Res. 5(2): 161-180 (2010) - [c6]Qing Wu, Chunjiang Zhang, Liang Gao, Xinyu Li:
Training neural networks by electromagnetism-like mechanism algorithm for tourism arrivals forecasting. BIC-TA 2010: 679-688 - [c5]Xinyu Li, Liang Gao, Xinyu Shao, Qing Wu:
An effective modified Particle Swarm Optimization algorithm for process planning. BIC-TA 2010: 928-932
2000 – 2009
- 2009
- [j2]Xinyu Shao, Xinyu Li, Liang Gao, Chaoyong Zhang:
Integration of process planning and scheduling - A modified genetic algorithm-based approach. Comput. Oper. Res. 36(6): 2082-2096 (2009) - [j1]Weidong Li, Liang Gao, Xinyu Li:
Application of Intelligent Strategies for Cooperative Manufacturing Planning. J. Univers. Comput. Sci. 15(9): 1907-1923 (2009) - [c4]Xinyu Li, Weidong Li, Liang Gao, Chaoyong Zhang, Xinyu Shao:
Multi-agent based integration of process planning and scheduling. CSCWD 2009: 215-220 - [c3]Kunlei Lian, Chaoyong Zhang, Xinyu Li, Liang Gao:
An Effective Hybrid Genetic Simulated Annealing Algorithm for Process Planning Problem. ICNC (5) 2009: 367-373 - 2008
- [c2]Xinyu Li, Liang Gao, Guohui Zhang, Chaoyong Zhang, Xinyu Shao:
A Genetic Algorithm for Integration of Process Planning and Scheduling Problem. ICIRA (2) 2008: 495-502 - [c1]Guohui Zhang, Liang Gao, Xinyu Li, Peigen Li:
Variable Neighborhood Genetic Algorithm for the Flexible Job Shop Scheduling Problems. ICIRA (2) 2008: 503-512
Coauthor Index
aka: Quanke Pan
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