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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.uni-trier.de/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
- Liang Gao 0010 — University of Chinese Academy of Sciences, Beijing Yanshan Earth Critical Zone National Research Station, College of Resources and Environment, Beijing, China
- Liang Gao 0011 — Xinjiang University, College of Software, Urumqi, China
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2020 – today
- 2025
[j352]Danyang Xu, Jie Shang, Chen Jiang, Xinyu Shang, Haobo Qiu, Liang Gao:
A novel multi-task learning framework with fault mode feature separation for remaining useful life estimation of mechanical systems. Adv. Eng. Informatics 64: 103053 (2025)- [j351]Xinyu Shang, Jie Shang, Zheng Jiang, Chen Jiang, Haobo Qiu, Liang Gao:
A Multitask Learning Approach With Meta Auxiliary Generation Network for Remaining Useful Life Estimation. IEEE Internet Things J. 12(1): 334-344 (2025) - [j350]Jiansheng Liu, Jin Chen, Zan Yang, Yuanhao Liu, Haobo Qiu, Liang Gao:
Two-layer surrogate-assisted collaborative framework for expensive constrained optimization problems involving mixed integer variables. Inf. Sci. 690: 121522 (2025) - [j349]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) - [j348]Jie Shang, Danyang Xu, Mingyu Li, Haobo Qiu, Chen Jiang, Liang Gao:
Remaining useful life prediction of rotating equipment under multiple operating conditions via multi-source adversarial distillation domain adaptation. Reliab. Eng. Syst. Saf. 256: 110769 (2025) - [j347]Jing Zhou, Jin Yi, Zhenyu Yang, Huayan Pu, Xinyu Li, Jun Luo, Liang Gao:
A survey on vehicle-drone cooperative delivery operations optimization: Models, methods, and future research directions. Swarm Evol. Comput. 92: 101780 (2025) - [j346]Danyu Bai, Tianyi Liu, Yuchen Zhang, Feng Chu, Hu Qin, Liang Gao, Yue Su, Mingjie Huang:
Scheduling a Distributed Permutation Flowshop With Uniform Machines and Release Dates. IEEE Trans Autom. Sci. Eng. 22: 215-227 (2025) - 2024
- [j345]Jiajun Zhou, Yun Tian, Liang Gao, Chao Lu, Xifan Yao:
Knowledge-aware manufacturing services collaboration: A comprehensive study of evolutionary transfer optimization approaches. Adv. Eng. Informatics 60: 102343 (2024) - [j344]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) - [j343]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) - [j342]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) - [j341]Xiao Zhang, Jie Gao, Liang Gao, Mi Xiao:
B-ITO: A MATLAB toolbox for isogeometric topology optimization with Bézier extraction of NURBS. Adv. Eng. Softw. 191: 103620 (2024) - [j340]Lin Gui, Xinyu Li, Qingfu Zhang, Liang Gao:
A uniform sampling method for permutation space. Ann. Oper. Res. 338(2): 925-945 (2024) - [j339]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) - [j338]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) - [j337]Jiaxin Fan, Chunjiang Zhang, Shichen Tian, Weiming Shen, Liang Gao:
Flexible job-shop scheduling problem with variable lot-sizing: An early release policy-based matheuristic. Comput. Ind. Eng. 193: 110290 (2024) - [j336]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) - [j335]Bing-Tao Wang, Quan-Ke Pan, Liang Gao, Weimin Li:
The paradoxes, accelerations and heuristics for a constrained distributed flowshop group scheduling problem. Comput. Ind. Eng. 196: 110465 (2024) - [j334]Fei Ming, Wenyin Gong, Huixiang Zhen, Ling Wang, Liang Gao:
Constrained multi-objective optimization evolutionary algorithm for real-world continuous mechanical design problems. Eng. Appl. Artif. Intell. 135: 108673 (2024) - [j333]Jiaxin Fan, Chunjiang Zhang, Fajun Yang, Weiming Shen, Liang Gao:
A matheuristic with re-lot-sizing strategies for flexible job-shop rescheduling problem with lot-streaming and machine reconfigurations. Eur. J. Oper. Res. 319(3): 747-762 (2024) - [j332]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) - [j331]Hongkang Tao, Jiansheng Liu, Zan Yang, Guhong Wang, Jie Shang, Haobo Qiu, Liang Gao:
Revolutionizing flame detection: Novelization in flame detection through transferring distillation for knowledge to pruned model. Expert Syst. Appl. 249: 123787 (2024) - [j330]Ze-Cheng Wang, Quan-Ke Pan, Liang Gao, Zhong-Hua Miao, Hongyan Sang:
A variable-representation discrete artificial bee colony algorithm for a constrained hybrid flow shop. Expert Syst. Appl. 254: 124349 (2024) - [j329]Hang Li, Hao Li, Liang Gao, Yongfeng Zheng, Jiajing Li, Peigen Li:
Topology optimization of multi-phase shell-infill composite structure for additive manufacturing. Eng. Comput. 40(2): 1049-1064 (2024) - [j328]Ying Zhou, Liang Gao, Hao Li:
A ready-to-manufacture optimization design of 3D chiral auxetics for additive manufacturing. Eng. Comput. 40(3): 1517-1538 (2024) - [j327]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) - [j326]Biao Han, Quan-Ke Pan, Liang Gao:
A cooperative iterated greedy algorithm for the serial distributed permutation flowshop scheduling problem. Int. J. Prod. Res. 62(12): 4245-4272 (2024) - [j325]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) - [j324]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) - [j323]Jinghua Si, Xinyu Li, Liang Gao, Peigen Li:
An efficient and adaptive design of reinforcement learning environment to solve job shop scheduling problem with soft actor-critic algorithm. Int. J. Prod. Res. 62(23): 8260-8275 (2024) - [j322]Wei Li, Xiaowei Zhou, Haihong Huang, Akhil Garg, Liang Gao:
Risk-Based Design Optimization via Scenario Generation and Genetic Programming Under Hybrid Uncertainties. J. Comput. Inf. Sci. Eng. 24(10) (2024) - [j321]Hongjin Wu, Ruoshan Lei, Yibing Peng, Liang Gao:
AAGNet: A graph neural network towards multi-task machining feature recognition. Robotics Comput. Integr. Manuf. 86: 102661 (2024) - [j320]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) - [j319]Dapeng Wang, Haobo Qiu, Liang Gao, Chen Jiang:
A Subdomain uncertainty-guided Kriging method with optimized feasibility metric for time-dependent reliability analysis. Reliab. Eng. Syst. Saf. 243: 109839 (2024) - [j318]Yuanhao Liu, Zan Yang, Danyang Xu, Haobo Qiu, Liang Gao:
A Kriging-assisted Double Population Differential Evolution for Mixed-Integer Expensive Constrained Optimization Problems with Mixed Constraints. Swarm Evol. Comput. 84: 101428 (2024) - [j317]Zan Yang, Sheng Chu, Jiansheng Liu, Haobo Qiu, Mi Xiao, Liang Gao:
Incorporating gradient information into dimension perturbation mutation for high-dimensional expensive optimization. Swarm Evol. Comput. 84: 101446 (2024) - [j316]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) - [j315]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) - [j314]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) - [j313]Jin-Shuai Dong, Quan-Ke Pan, Zhong-Hua Miao, Hong-yan Sang, Liang Gao:
An effective multi-objective evolutionary algorithm for multiple spraying robots task assignment problem. Swarm Evol. Comput. 87: 101558 (2024) - [j312]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) - [j311]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) - [j310]Qiu-Ying Li, Quan-Ke Pan, Liang Gao, Hongyan Sang, Xian-Xia Zhang, Wei-Min Li:
The constrained permutation flowshop problem: An effective two-stage iterated greedy algorithm to minimize weighted tardiness. Swarm Evol. Comput. 91: 101696 (2024) - [j309]Xuesong Yan, Xing Guo, Jin Chen, Chengyu Hu, Wenyin Gong, Liang Gao:
Learning-Driven Dynamic Multimodal Optimization Algorithm for Real-Time Traceability of Water Pollution. IEEE Trans. Artif. Intell. 5(6): 2472-2481 (2024) - [j308]Fan Li, Liang Gao, Weiming Shen:
Surrogate-Assisted Multi-Objective Evolutionary Optimization With Pareto Front Model-Based Local Search Method. IEEE Trans. Cybern. 54(1): 173-186 (2024) - [j307]Fei Ming, Wenyin Gong, Ling Wang, Liang Gao:
Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer. IEEE Trans. Evol. Comput. 28(1): 77-89 (2024) - [j306]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) - [j305]Weixiong Jiang, Jun Wu, Haiping Zhu, Liang Gao:
Multimodel Fusion Health Assessment for Multistate Industrial Robot via Fuzzy Deep Residual Shrinkage Network and Versatile Cluster. IEEE Trans. Fuzzy Syst. 32(8): 4735-4746 (2024) - [j304]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) - [j303]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) - [j302]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) - [j301]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) - [j300]Jiajun Zhou, Liang Gao, Shijie Rao, Yun Li:
Scheduling Constrained Cloud Workflow Tasks via Evolutionary Multitasking Optimization With Adaptive Knowledge Transfer. IEEE Trans. Serv. Comput. 17(6): 4254-4266 (2024) - [j299]Yunkang Cao, Xiaohao Xu, Chen Sun, Liang Gao, Weiming Shen:
BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image Anomaly Localization. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2342-2353 (2024) - [c107]Shenqiang Ke, Liang Gao, Xinyu Li, Yiping Gao:
Open-Set Fault Diagnosis based on Prototype Learning with Dual Category-Classifier. CASE 2024: 3201-3206 - [c106]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 - [i11]Jin Huang, Xinyu Li, Liang Gao, Qihao Liu, Yue Teng:
Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem. CoRR abs/2410.22657 (2024) - 2023
- [b4]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 - [j298]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) - [j297]Mian Zhou, Mi Xiao, Mingzhe Huang, Liang Gao:
Multi-material isogeometric topology optimization in multiple NURBS patches. Adv. Eng. Softw. 186: 103547 (2023) - [j296]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) - [j295]Xiwen Cai, Tao Zou, Liang Gao:
Surrogate-assisted operator-repeated evolutionary algorithm for computationally expensive multi-objective problems. Appl. Soft Comput. 147: 110785 (2023) - [j294]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) - [j293]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) - [j292]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) - [j291]Long Wen, Shaoquan Su, Bin Wang, Jian Ge, Liang Gao, Ke Lin:
A new multi-sensor fusion with hybrid Convolutional Neural Network with Wiener model for remaining useful life estimation. Eng. Appl. Artif. Intell. 126: 106934 (2023) - [j290]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) - [j289]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) - [j288]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) - [j287]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) - [j286]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) - [j285]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) - [j284]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) - [j283]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) - [j282]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) - [j281]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) - [j280]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) - [j279]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) - [j278]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) - [j277]Xin-Rui Tao, Quan-Ke Pan, Hongyan Sang, Liang Gao, Aolei Yang, Miao Rong:
Nondominated sorting genetic algorithm-II with Q-learning for the distributed permutation flowshop rescheduling problem. Knowl. Based Syst. 278: 110880 (2023) - [j276]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) - [j275]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) - [j274]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) - [j273]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) - [j272]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) - [j271]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) - [j270]Jiajun Zhou, Shijie Rao, Liang Gao:
An ensemble knowledge transfer framework for evolutionary multi-task optimization. Swarm Evol. Comput. 83: 101394 (2023) - [j269]Haizhu Bao, Quanke Pan, Rubén Ruiz, Liang Gao:
A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling. Swarm Evol. Comput. 83: 101399 (2023) - [j268]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) - [j267]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) - [j266]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) - [j265]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) - [j264]Fei Ming, Wenyin Gong, Dongcheng Li, Ling Wang, Liang Gao:
A Competitive and Cooperative Swarm Optimizer for Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 27(5): 1313-1326 (2023) - [j263]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) - [j262]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) - [j261]You Wang, Wentao Hu, Long Wen, Liang Gao:
A New Foreground-Perception Cycle-Consistent Adversarial Network for Surface Defect Detection With Limited High-Noise Samples. IEEE Trans. Ind. Informatics 19(12): 11742-11751 (2023) - [j260]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) - [j259]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) - [j258]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) - [j257]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) - [j256]Lei Zuo, Hongyong Xiao, Long Wen, Liang Gao:
A Pixel-Level Segmentation Convolutional Neural Network Based on Global and Local Feature Fusion for Surface Defect Detection. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j255]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) - [j254]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) - [j253]Fei Ming, Wenyin Gong, Ling Wang, Liang Gao:
A Constraint-Handling Technique for Decomposition-Based Constrained Many-Objective Evolutionary Algorithms. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7783-7793 (2023) - [c105]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 - [c104]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 - [c103]Dapeng Wang, Haobo Qiu, Liang Gao:
A Subdomain Uncertainty-Guided Kriging Method with Subset Simulation for Reliability Estimation. CSCWD 2023: 1526-1531 - [c102]Yuwen Zhai, Jing Hao, Liang Gao, Xinyu Li, Yiping Gao, Shumin Han:
Simple Parameter-free Self-attention Approximation. Tiny Papers @ ICLR 2023 - [c101]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 - [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
- [b3]Jie Gao, Liang Gao, Mi Xiao:
Isogeometric Topology Optimization - Methods, Applications and Implementations. Springer 2022, ISBN 978-981-19-1769-1, pp. 1-212 - [j252]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) - [j251]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) - [j250]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) - [j249]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) - [j248]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) - [j247]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) - [j246]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) - [j245]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) - [j244]Yuyan Zhang, Liang Gao, Xiaoyu Wen, Haoqi Wang:
Intelligent fault diagnosis of machine under noisy environment using ensemble orthogonal contractive auto-encoder. Expert Syst. Appl. 203: 117408 (2022) - [j243]Wei Li, Liang Gao, Akhil Garg, Mi Xiao:
Multidisciplinary robust design optimization considering parameter and metamodeling uncertainties. Eng. Comput. 38(1): 191-208 (2022) - [j242]Wei Li, Congbo Li, Liang Gao, Mi Xiao:
Risk-based design optimization under hybrid uncertainties. Eng. Comput. 38(3): 2037-2049 (2022) - [j241]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) - [j240]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) - [j239]Xinjing Wang, Liang Gao, Xinyu Li:
Multiple surrogates and offspring-assisted differential evolution for high-dimensional expensive problems. Inf. Sci. 592: 174-191 (2022) - [j238]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) - [j237]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) - [j236]Yunkang Cao, Qian Wan, Weiming Shen, Liang Gao:
Informative knowledge distillation for image anomaly segmentation. Knowl. Based Syst. 248: 108846 (2022) - [j235]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) - [j234]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) - [j233]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) - [j232]Wen Chen, Weiming Shen, Liang Gao, Xinyu Li:
Hybrid Loss-Constrained Lightweight Convolutional Neural Networks for Cervical Cell Classification. Sensors 22(9): 3272 (2022) - [j231]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) - [j230]Junfei Du, Xinyu Li, Yiping Gao, Liang Gao:
Integrated Gradient-Based Continuous Wavelet Transform for Bearing Fault Diagnosis. Sensors 22(22): 8760 (2022) - [j229]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) - [j228]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) - [j227]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) - [j226]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) - [j225]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) - [j224]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) - [j223]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) - [j222]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) - [j221]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) - [j220]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) - [j219]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) - [j218]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) - [j217]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) - [j216]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) - [j215]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) - [j214]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) - [j213]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) - [j212]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) - [j211]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) - [j210]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) - [j209]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) - [j208]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) - [c100]Kai Xia, Wenjin Zhang, Liang Gao, Caihua Fang, Xuan Jiang, Chi Hu:
Research on the Construction Method of Digital Twins of Complex Products. AsiaSim (1) 2022: 158-164 - [c99]Zhaofu Li, Liang Gao, Xinyu Li:
A Logit Adjusting Transformer for Class Imbalance in Surface Defect Recognition. CASE 2022: 870-875 - [c98]Qian Wan, Yunkang Cao, Liang Gao, Weiming Shen, Xinyu Li:
Position Encoding Enhanced Feature Mapping for Image Anomaly Detection. CASE 2022: 876-881 - [c97]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 - [c96]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 - [c95]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 - [c94]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
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A new Feature-Fusion method based on training dataset prototype for surface defect recognition. Adv. Eng. Informatics 50: 101392 (2021) - [j206]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) - [j205]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) - [j204]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) - [j203]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) - [j202]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) - [j201]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) - [j200]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) - [j199]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) - [j198]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) - [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) - [j183]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) - [j182]Shuai Chen, Quan-Ke Pan, Liang Gao:
Production scheduling for blocking flowshop in distributed environment using effective heuristics and iterated greedy algorithm. Robotics Comput. Integr. Manuf. 71: 102155 (2021) - [j181]Chen Jiang, Yifang Yan, Dapeng Wang, Haobo Qiu, Liang Gao:
Global and local Kriging limit state approximation for time-dependent reliability-based design optimization through wrong-classification probability. Reliab. Eng. Syst. Saf. 208: 107431 (2021) - [j180]Mi Xiao, Jinhao Zhang, Liang Gao:
A Kriging-assisted sampling method for reliability analysis of structures with hybrid uncertainties. Reliab. Eng. Syst. Saf. 210: 107552 (2021) - [j179]Dapeng Wang, Haobo Qiu, Liang Gao, Chen Jiang:
A single-loop Kriging coupled with subset simulation for time-dependent reliability analysis. Reliab. Eng. Syst. Saf. 216: 107931 (2021) - [j178]Fan Li, Liang Gao, Akhil Garg, Weiming Shen, Shifeng Huang:
Two infill criteria driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems with medium dimensions. Swarm Evol. Comput. 60: 100774 (2021) - [j177]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) - [j176]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) - [j175]Yuanzhen Li, Quan-Ke Pan, Jun-Qing Li, Liang Gao, Mehmet Fatih Tasgetiren:
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems. Swarm Evol. Comput. 63: 100874 (2021) - [j174]Wei Li, Mi Xiao, Akhil Garg, Liang Gao:
A New Approach to Solve Uncertain Multidisciplinary Design Optimization Based on Conditional Value at Risk. IEEE Trans Autom. Sci. Eng. 18(1): 356-368 (2021) - [j173]Fan Li, Xiwen Cai, Liang Gao, Weiming Shen:
A Surrogate-Assisted Multiswarm Optimization Algorithm for High-Dimensional Computationally Expensive Problems. IEEE Trans. Cybern. 51(3): 1390-1402 (2021) - [j172]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) - [j171]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) - [j170]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) - [j169]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) - [j168]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) - [j167]Guokai Liu, Weiming Shen, Liang Gao, Andrew Kusiak:
Predictive Modeling With an Adaptive Unsupervised Broad Transfer Algorithm. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j166]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) - [j165]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) - [j164]Huan Liu, Xiamiao Li, Guohua Wu, Mingfeng Fan, Rui Wang, Liang Gao, Witold Pedrycz:
An Iterative Two-Phase Optimization Method Based on Divide and Conquer Framework for Integrated Scheduling of Multiple UAVs. IEEE Trans. Intell. Transp. Syst. 22(9): 5926-5938 (2021) - [c93]Thien Pham, Loi Truong, Mao Nguyen, Akhil Garg, Liang Gao, Tho Quan:
Sequence-in-Sequence Learning for SOH Estimation of Lithium-Ion Battery. CECNet 2021: 14-25 - [c92]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 - [c91]Sihan Wang, Xinyu Li, Liang Gao, Lijian Wang:
An Improved Genetic Algorithm for Distributed Job Shop Scheduling Problem. ICIC (1) 2021: 37-47 - [c90]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 - [c89]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 - [i6]Jin Xie, Xinyu Li, Liang Gao, Lin Gui:
A new neighborhood structure for job shop scheduling problems. CoRR abs/2109.02843 (2021) - 2020
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Welding and Cutting Case Studies with Supervised Machine Learning. Springer 2020, ISBN 978-981-13-9381-5, pp. 1-245 - [b1]Xinyu Li, Liang Gao:
Effective Methods for Integrated Process Planning and Scheduling. Springer 2020, ISBN 978-3-662-55303-9, pp. 1-462 - [j163]Jiajun Zhou, Liang Gao, Xifan Yao, Chunjiang Zhang, Felix T. S. Chan, Yingzi Lin:
An adaptive dual-population evolutionary paradigm with adversarial search: Case study on many-objective service consolidation. Appl. Soft Comput. 90: 106160 (2020) - [j162]Fan Li, Weiming Shen, Xiwen Cai, Liang Gao, G. Gary Wang:
A fast surrogate-assisted particle swarm optimization algorithm for computationally expensive problems. Appl. Soft Comput. 92: 106303 (2020) - [j161]Xue-Lei Jing, Quan-Ke Pan, Liang Gao, Yu-Long Wang:
An effective Iterated Greedy algorithm for the distributed permutation flowshop scheduling with due windows. Appl. Soft Comput. 96: 106629 (2020) - [j160]Damla Yüksel, Mehmet Fatih Tasgetiren, Levent Kandiller, Liang Gao:
An energy-efficient bi-objective no-wait permutation flowshop scheduling problem to minimize total tardiness and total energy consumption. Comput. Ind. Eng. 145: 106431 (2020) - [j159]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) - [j158]Yiping Gao, Xinyu Li, Liang Gao:
Discriminative stacked autoencoder for feature representation and classification. Sci. China Inf. Sci. 63(2): 120111 (2020) - [j157]Wen-Qiang Zou, Quan-Ke Pan, Tao Meng, Liang Gao, Yu-Long Wang:
An effective discrete artificial bee colony algorithm for multi-AGVs dispatching problem in a matrix manufacturing workshop. Expert Syst. Appl. 161: 113675 (2020) - [j156]Chen Jiang, Haobo Qiu, Xiaoke Li, Zhenzhong Chen, Liang Gao, Peigen Li:
Iterative reliable design space approach for efficient reliability-based design optimization. Eng. Comput. 36(1): 151-169 (2020) - [j155]Akhil Garg, Surinder Singh, Liang Gao, Mei-Juan Xu, Chee Pin Tan:
Multi-objective optimisation framework of genetic programming for investigation of bullwhip effect and net stock amplification for three-stage supply chain systems. Int. J. Bio Inspired Comput. 16(4): 241-251 (2020) - [j154]Zan Yang, Haobo Qiu, Liang Gao, Xiwen Cai, Chen Jiang, Liming Chen:
Surrogate-assisted classification-collaboration differential evolution for expensive constrained optimization problems. Inf. Sci. 508: 50-63 (2020) - [j153]Jiajun Zhou, Liang Gao, Xifan Yao, Chunjiang Zhang, Felix T. S. Chan, Yingzi Lin:
Evolutionary many-objective assembly of cloud services via angle and adversarial direction driven search. Inf. Sci. 513: 143-167 (2020) - [j152]Xuesong Yan, Pengpeng Li, Ke Tang, Liang Gao, Ling Wang:
Clonal selection based intelligent parameter inversion algorithm for prestack seismic data. Inf. Sci. 517: 86-99 (2020) - [j151]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) - [j150]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) - [j149]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) - [j148]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) - [j147]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) - [j146]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) - [j145]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) - [j144]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) - [j143]Chen Jiang, Haobo Qiu, Liang Gao, Dapeng Wang, Zan Yang, Liming Chen:
EEK-SYS: System reliability analysis through estimation error-guided adaptive Kriging approximation of multiple limit state surfaces. Reliab. Eng. Syst. Saf. 198: 106906 (2020) - [j142]Mi Xiao, Jinhao Zhang, Liang Gao:
A system active learning Kriging method for system reliability-based design optimization with a multiple response model. Reliab. Eng. Syst. Saf. 199: 106935 (2020) - [j141]Jinhao Zhang, Liang Gao, Mi Xiao:
A composite-projection-outline-based approximation method for system reliability analysis with hybrid uncertainties. Reliab. Eng. Syst. Saf. 204: 107169 (2020) - [j140]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) - [j139]Hande Öztop, Mehmet Fatih Tasgetiren, Levent Kandiller, Deniz Türsel Eliiyi, Liang Gao:
Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption. Swarm Evol. Comput. 54: 100660 (2020) - [j138]Chengyu Hu, Xuesong Yan, Wenyin Gong, Xiaobo Liu, Ling Wang, Liang Gao:
Multi-objective based scheduling algorithm for sudden drinking water contamination incident. Swarm Evol. Comput. 55: 100674 (2020) - [j137]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) - [j136]Jiang-Ping Huang, Quan-Ke Pan, Liang Gao:
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times. Swarm Evol. Comput. 59: 100742 (2020) - [j135]Akhil Garg, Shaosen Su, Fan Li, Liang Gao:
Framework of model selection criteria approximated genetic programming for optimization function for renewable energy systems. Swarm Evol. Comput. 59: 100750 (2020) - [j134]Fajun Yang, Xin Tang, Naiqi Wu, Chunjiang Zhang, Liang Gao:
Wafer Residency Time Analysis for Time-Constrained Single-Robot-Arm Cluster Tools With Activity Time Variation. IEEE Trans. Control. Syst. Technol. 28(4): 1177-1188 (2020) - [j133]Arka Ghosh, Swagatam Das, Asit Kumar Das, Liang Gao:
Reusing the Past Difference Vectors in Differential Evolution - A Simple But Significant Improvement. IEEE Trans. Cybern. 50(11): 4821-4834 (2020) - [j132]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) - [j131]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) - [j130]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) - [j129]Wei Huang, Liang Gao:
A Time Wave Neural Network Framework for Solving Time-Dependent Project Scheduling Problems. IEEE Trans. Neural Networks Learn. Syst. 31(1): 274-283 (2020) - [j128]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) - [c88]Haoran Zhong, Xinyu Li, Liang Gao:
Adaptive Delay Compensation for Admittance Control of Hydraulic Series Elastic Actuator. CASE 2020: 384-389 - [c87]Yucheng Wang, Liang Gao, Yiping Gao, Xinyu Li, Lili Gao:
Knowledge Graph-guided Convolutional Neural Network for Surface Defect Recognition. CASE 2020: 594-599 - [c86]Fan Li, Liang Gao, Weiming Shen, Xiwen Cai, Shifeng Huang:
A Surrogate-Assisted Offspring Generation Method for Expensive Multi-objective optimization Problems. CEC 2020: 1-8 - [c85]Zhitao Song, Liang Gao, Chenghao Hu:
A Gait Planning Method for Humanoid Robot to Step Over Discrete Terrain. ICARM 2020: 507-512 - [c84]Yiping Gao, Liang Gao, Xinyu Li:
A New Semi-Supervised Deep Learning Approach for Intelligent Defects Recognition. ICNSC 2020: 1-4
2010 – 2019
- 2019
- [j127]Long Wen, Liang Gao, Xinyu Li:
A New Snapshot Ensemble Convolutional Neural Network for Fault Diagnosis. IEEE Access 7: 32037-32047 (2019) - [j126]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) - [j125]Wei Li, Mi Xiao, Yongsheng Yi, Liang Gao:
Maximum variation analysis based analytical target cascading for multidisciplinary robust design optimization under interval uncertainty. Adv. Eng. Informatics 40: 81-92 (2019) - [j124]Damla Kizilay, Mehmet Fatih Tasgetiren, Quan-Ke Pan, Liang Gao:
A Variable Block Insertion Heuristic for Solving Permutation Flow Shop Scheduling Problem with Makespan Criterion. Algorithms 12(5): 100 (2019) - [j123]Fan Li, Xiwen Cai, Liang Gao:
Ensemble of surrogates assisted particle swarm optimization of medium scale expensive problems. Appl. Soft Comput. 74: 291-305 (2019) - [j122]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) - [j121]Jun Zheng, Chao Lu, Liang Gao:
Multi-objective cellular particle swarm optimization for wellbore trajectory design. Appl. Soft Comput. 77: 106-117 (2019) - [j120]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) - [j119]Yanan Song, Quan-Ke Pan, Liang Gao, Biao Zhang:
Improved non-maximum suppression for object detection using harmony search algorithm. Appl. Soft Comput. 81 (2019) - [j118]Xiwen Cai, Liang Gao, Fan Li:
Sequential approximation optimization assisted particle swarm optimization for expensive problems. Appl. Soft Comput. 83 (2019) - [j117]Jinhao Zhang, Mi Xiao, Liang Gao, Sheng Chu:
Probability and interval hybrid reliability analysis based on adaptive local approximation of projection outlines using support vector machine. Comput. Aided Civ. Infrastructure Eng. 34(11): 991-1009 (2019) - [j116]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) - [j115]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) - [j114]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) - [j113]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) - [j112]Jiajun Zhou, Xifan Yao, Felix T. S. Chan, Yingzi Lin, Hong Jin, Liang Gao, Xuping Wang:
An individual dependent multi-colony artificial bee colony algorithm. Inf. Sci. 485: 114-140 (2019) - [j111]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) - [j110]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) - [j109]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) - [j108]Zan Yang, Haobo Qiu, Liang Gao, Chen Jiang, Jinhao Zhang:
Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems. J. Glob. Optim. 74(2): 327-359 (2019) - [j107]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) - [j106]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) - [j105]Xiwen Cai, Haobo Qiu, Liang Gao, Chen Jiang, Xinyu Shao:
An efficient surrogate-assisted particle swarm optimization algorithm for high-dimensional expensive problems. Knowl. Based Syst. 184 (2019) - [j104]Ling Wang, Guohua Wu, Liang Gao:
Thematic issue on "advanced intelligent scheduling algorithms for smart manufacturing systems". Memetic Comput. 11(4): 333-334 (2019) - [j103]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) - [j102]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) - [j101]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) - [j100]Chen Jiang, Haobo Qiu, Zan Yang, Liming Chen, Liang Gao, Peigen Li:
A general failure-pursuing sampling framework for surrogate-based reliability analysis. Reliab. Eng. Syst. Saf. 183: 47-59 (2019) - [j99]Jinhao Zhang, Mi Xiao, Liang Gao:
An active learning reliability method combining Kriging constructed with exploration and exploitation of failure region and subset simulation. Reliab. Eng. Syst. Saf. 188: 90-102 (2019) - [j98]Nivedhitha Mahendran, P. M. Durai Raj Vincent, Kathiravan Srinivasan, Chuan-Yu Chang, Akhil Garg, Liang Gao, Daniel Gutiérrez-Reina:
Sensor-Assisted Weighted Average Ensemble Model for Detecting Major Depressive Disorder. Sensors 19(22): 4822 (2019) - [j97]Wenbo Chen, Anni Zhou, Pan Zhou, Liang Gao, Shouling Ji, Dapeng Wu:
A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid. IEEE Syst. J. 13(4): 4208-4218 (2019) - [j96]Wenbo Chen, Anni Zhou, Pan Zhou, Liang Gao, Shouling Ji, Dapeng Wu:
Corrections to "A Privacy-Preserving Online Learning Approach for Incentive-Based Demand Response in Smart Grid". IEEE Syst. J. 13(4): 4482-4483 (2019) - [j95]Biao Zhang, Quan-Ke Pan, Liang Gao, Xin-Li Zhang, Kunkun Peng:
A multi-objective migrating birds optimization algorithm for the hybrid flowshop rescheduling problem. Soft Comput. 23(17): 8101-8129 (2019) - [j94]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) - [j93]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) - [j92]Jiajun Zhou, Liang Gao, Xifan Yao, Chunjiang Zhang, Felix T. S. Chan, Yingzi Lin:
Evolutionary algorithms for many-objective cloud service composition: Performance assessments and comparisons. Swarm Evol. Comput. 51 (2019) - [j91]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) - [j90]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) - [c83]Wei Li, Tong Wang, Mi Xiao, Mingzhu Lai, Liang Gao, Congbo Li:
Conditional Value at Riskbased Multidisciplinary Robust Design Optimization. CASE 2019: 30-35 - [c82]Jitao Zhang, Xinyu Li, Liang Gao, Long Wen, Guokai Liu:
A Shapelet Dictionary Learning Algorithm for Time Series Classification. CASE 2019: 299-304 - [c81]Zhao Zhang, Xinyu Li, Long Wen, Liang Gao, Yiping Gao:
Fault Diagnosis Using Unsupervised Transfer Learning Based on Adversarial Network. CASE 2019: 305-310 - [c80]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 - [c79]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 - [c78]Kunkun Peng, Quan-Ke Pan, Ling Wang, Xudong Deng, Congbo Li, Liang Gao:
Iterated Local Search for Steelmaking-refining-Continuous Casting Scheduling Problem. CASE 2019: 567-572 - [c77]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 - [c76]Haozhen Dong, Liang Gao, Xinyu Li, Haorang Zhong, Bing Zeng:
Differential Evolution with Better and Nearest Option for Function Optimization. CEC 2019: 641-645 - [c75]Zan Yang, Haobo Qiu, Liang Gao, Chen Jiang, Liming Chen, Xiwen Cai:
A Novel Surrogate-assisted Differential Evolution for Expensive Optimization Problems with both Equality and Inequality Constraints. CEC 2019: 1688-1695 - [c74]Xiwen Cai, Liang Gao, Fan Li:
Surrogate's Optima Assisted Evolutionary Algorithm for Optimization of Expensive Problems. CEC 2019: 1696-1701 - [c73]Long Wen, X. Li, Xinyu Li, Liang Gao:
A New Transfer Learning Based on VGG-19 Network for Fault Diagnosis. CSCWD 2019: 205-209 - [c72]Jinhao Zhang, Mi Xiao, Liang Gao, Yan Zhang:
MEAK-MCS: Metamodel Error Measure Function based Active Learning Kriging with Monte Carlo Simulation for Reliability Analysis. CSCWD 2019: 284-289 - [c71]Jie Gao, Hao Li, Zhen Luo, Peigen Li, Liang Gao:
Isogeometric Density Field Method for Topology Optimization of Micro-architected Materials. CSCWD 2019: 524-529 - [c70]Haorang Zhong, Xinyu Li, Liang Gao, Haozhen Dong:
Position Control of Hydraulic Series Elastic Actuator with Parameter Self-Optimization. ICARM 2019: 42-46 - [c69]Yanan Song, Xinyu Li, Liang Gao:
Improved non-maximum suppression for detecting overlapping objects. ICMV 2019: 114330F - [c68]Yiping Gao, Liang Gao, Xinyu Li:
A Hierarchical Feature Fusion-based Method for Defect Recognition with a Small Sample. IEEM 2019: 1048-1052 - [c67]Jiaxin Fan, Damla Kizilay, Hande Öztop, Mehmet Fatih Tasgetiren, Liang Gao:
A Variable Block Insertion Heuristic for Single Machine with Release Dates and Sequence Dependent Setup Times for Makespan Minimization. SSCI 2019: 1676-1683 - [c66]Liangshan Shen, Mehmet Fatih Tasgetiren, Hande Öztop, Levent Kandiller, Liang Gao:
A General Variable Neighborhood Search for the NoIdle Flowshop Scheduling Problem with Makespan Criterion. SSCI 2019: 1684-1691 - [c65]Sihan Wang, Jia Kang, Mehmet Fatih Tasgetiren, Liang Gao, Damla Kizilay:
Differential Evolution Through Variable Neighborhood Search for Constrained Real-Parameter Optimization Problems. SSCI 2019: 2252-2260 - 2018
- [j89]Jie Gao, Hao Li, Liang Gao, Mi Xiao:
Topological shape optimization of 3D micro-structured materials using energy-based homogenization method. Adv. Eng. Softw. 116: 89-102 (2018) - [j88]Hao Li, Zhen Luo, Liang Gao, Jinglai Wu:
An improved parametric level set method for structural frequency response optimization problems. Adv. Eng. Softw. 126: 75-89 (2018) - [j87]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) - [j86]TaiFeng Li, Liang Gao, Quan-Ke Pan, Peigen Li:
Free-form surface parts quality inspection optimization with a novel sampling method. Appl. Soft Comput. 62: 550-570 (2018) - [j85]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) - [j84]Biao Zhang, Quan-Ke Pan, Liang Gao, Xin-Li Zhang, Qing-da Chen:
A hybrid variable neighborhood search algorithm for the hot rolling batch scheduling problem in compact strip production. Comput. Ind. Eng. 116: 22-36 (2018) - [j83]Kunkun Peng, Quan-Ke Pan, Liang Gao, Biao Zhang, Xinfu Pang:
An Improved Artificial Bee Colony algorithm for real-world hybrid flowshop rescheduling in Steelmaking-refining-Continuous Casting process. Comput. Ind. Eng. 122: 235-250 (2018) - [j82]Chao Lu, Liang Gao, Jin Yi:
Grey wolf optimizer with cellular topological structure. Expert Syst. Appl. 107: 89-114 (2018) - [j81]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) - [j80]Qing Wu, Chunjiang Zhang, Liang Gao:
A modified electromagnetism-like mechanism algorithm with pattern search for global optimisation. Int. J. Comput. Sci. Eng. 16(4): 430-440 (2018) - [j79]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) - [j78]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) - [j77]Chunjiang Zhang, Kay Chen Tan, Loo Hay Lee, Liang Gao:
Adjust weight vectors in MOEA/D for bi-objective optimization problems with discontinuous Pareto fronts. Soft Comput. 22(12): 3997-4012 (2018) - [j76]De-Ming Lei, Liang Gao, You-Lian Zheng:
A Novel Teaching-Learning-Based Optimization Algorithm for Energy-Efficient Scheduling in Hybrid Flow Shop. IEEE Trans. Engineering Management 65(2): 330-340 (2018) - [j75]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) - [j74]Lixing Chen, Pan Zhou, Liang Gao, Jie Xu:
Adaptive Fog Configuration for the Industrial Internet of Things. IEEE Trans. Ind. Informatics 14(10): 4656-4664 (2018) - [j73]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) - [c64]Sican Cao, Long Wen, Xinyu Li, Liang Gao:
Application of Generative Adversarial Networks for Intelligent Fault Diagnosis. CASE 2018: 711-715 - [c63]Wei Li, Mi Xiao, Yongsheng Yi, Liang Gao:
Robust Analytical Target Cascading Method for Multidisciplinary Design Optimization under Uncertainty. CSCWD 2018: 553-558 - [c62]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 - [i5]Bing Zeng, Xinyu Li, Liang Gao, Yuyan Zhang:
Whale swarm algorithm with iterative counter for multimodal function optimization. CoRR abs/1804.02851 (2018) - [i4]Lixing Chen, Pan Zhou, Liang Gao, Jie Xu:
Adaptive Fog Configuration for the Industrial Internet of Things. CoRR abs/1806.07764 (2018) - [i3]Jie Gao, Hao Li, Zhen Luo, Liang Gao, Peigen Li:
Topology optimization of micro-structured materials featured with the specific mechanical properties. CoRR abs/1808.08647 (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
- [j72]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) - [j71]Biao Zhang, Quan-Ke Pan, Liang Gao, Xin-Li Zhang, Hongyan Sang, Junqing Li:
An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming. Appl. Soft Comput. 52: 14-27 (2017) - [j70]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) - [j69]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) - [j68]Jianhui Mou, Liang Gao, Qianjian Guo, Jiancai Mu:
A hybrid heuristic algorithm for flowshop inverse scheduling problem under a dynamic environment. Clust. Comput. 20(1): 439-453 (2017) - [j67]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) - [j66]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) - [j65]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) - [j64]TaiFeng Li, Quan-Ke Pan, Liang Gao, Peigen Li:
Differential evolution algorithm-based range image registration for free-form surface parts quality inspection. Swarm Evol. Comput. 36: 106-123 (2017) - [j63]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) - [c61]Sheng Chu, Mi Xiao, Liang Gao, Sen Wang, Yong Wang:
Improved parametric level set based structural topology optimization for minimizing a global frequency response. CSCWD 2017: 366-371 - [c60]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 - [c59]TaiFeng Li, Quan-Ke Pan, Liang Gao, Peigen Li:
A novel simplification method of point cloud with directed Hausdorff distance. CSCWD 2017: 469-474 - [c58]Haobo Qiu, Liming Chen, Chen Jiang, Xiwen Cai, Liang Gao:
Ensemble of surrogate models using sign based cross validation error. CSCWD 2017: 526-531 - [c57]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 - [c56]Yuyan Zhang, Liang Gao, Xinyu Li, Peigen Li:
A Novel Data-Driven Fault Diagnosis Method Based on Deep Learning. DMBD 2017: 442-452 - [c55]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
- [j62]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) - [j61]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) - [j60]Yinzhi Zhou, Wenchao Yi, Liang Gao, Xinyu Li:
Analysis of mutation vectors selection mechanism in differential evolution. Appl. Intell. 44(4): 904-912 (2016) - [j59]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) - [j58]Xiangzhu He, Jida Huang, Yunqing Rao, Liang Gao:
Chaotic Teaching-Learning-Based Optimization with Lévy Flight for Global Numerical Optimization. Comput. Intell. Neurosci. 2016: 8341275:1-8341275:12 (2016) - [j57]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) - [j56]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) - [j55]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) - [j54]Haobo Qiu, Yanjiao Xu, Liang Gao, Xiaoke Li, Li Chi:
Multi-stage design space reduction and metamodeling optimization method based on self-organizing maps and fuzzy clustering. Expert Syst. Appl. 46: 180-195 (2016) - [j53]TaiFeng Li, Liang Gao, Peigen Li, Quan-Ke Pan:
An ensemble fruit fly optimization algorithm for solving range image registration to improve quality inspection of free-form surface parts. Inf. Sci. 367-368: 953-974 (2016) - [j52]Liang Gao, Quan-Ke Pan:
A shuffled multi-swarm micro-migrating birds optimizer for a multi-resource-constrained flexible job shop scheduling problem. Inf. Sci. 372: 655-676 (2016) - [c54]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 - [c53]Sheng Chu, Mi Xiao, Liang Gao, Lin Gui, Hao Li:
An effective structural boundary processing method based on support vector machine for discrete topology optimization. CSCWD 2016: 10-15 - [c52]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 - [c51]TaiFeng Li, Quan-Ke Pan, Liang Gao, Wenlong Li, Peigen Li:
Normal histogram-based fruit fly optimization algorithm for range image registration. CSCWD 2016: 357-362 - [c50]Lvjiang Yin, Xinyu Li, Liang Gao, Chao Lu:
A new improved fruit fly optimization algorithm for traveling salesman problem. ICACI 2016: 21-28 - [c49]TaiFeng Li, Liang Gao, Quan-Ke Pan, Peigen Li:
Differential evolution algorithm-based range image registration with scaling parameters. ICIP 2016: 4508-4512 - 2015
- [j51]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) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]Mi Xiao, Xinyu Shao, Liang Gao, Zhen Luo:
A new methodology for multi-objective multidisciplinary design optimization problems based on game theory. Expert Syst. Appl. 42(3): 1602-1612 (2015) - [j45]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) - [j44]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) - [j43]Akhil Garg, V. Vijayaraghavan, Jasmine Siu Lee Lam, Pravin M. Singru, Liang Gao:
A molecular simulation based computational intelligence study of a nano-machining process with implications on its environmental performance. Swarm Evol. Comput. 21: 54-63 (2015) - [c48]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 - [c47]TaiFeng Liu, Peigen Li, Wenlong Li, Liang Gao, Jin Yi, Yuewei Bai:
Cuckoo Search-based range image registration for free-form surface inspection. CSCWD 2015: 505-510 - [c46]Kai Xia, Liang Gao, Kuo-Ming Chao, Lihui Wang:
A Cloud-Based Disassembly Planning Approach towards Sustainable Management of WEEE. ICEBE 2015: 203-208 - [c45]Fengxiang Wang, Mi Xiao, Liang Gao:
Probabilistic analytical target cascading combined with Kriging metamodel for multidisciplinary robust design optimization. IEEM 2015: 1407-1411 - 2014
- [j42]Kai Xia, Liang Gao, Weidong Li, Kuo-Ming Chao:
Disassembly sequence planning using a Simplified Teaching-Learning-Based Optimization algorithm. Adv. Eng. Informatics 28(4): 518-527 (2014) - [j41]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) - [j40]Jun Zheng, Xinyu Shao, Liang Gao, Ping Jiang, Haobo Qiu:
A prior-knowledge input LSSVR metamodeling method with tuning based on cellular particle swarm optimization for engineering design. Expert Syst. Appl. 41(5): 2111-2125 (2014) - [j39]Qun Lin, Kai Xia, Lihui Wang, Liang Gao:
Cloud manufacturing in China: a literature survey. Int. J. Manuf. Res. 9(4): 369-388 (2014) - [j38]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) - [j37]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) - [j36]Quan-Ke Pan, Hongyan Sang, Jun-Hua Duan, Liang Gao:
An improved fruit fly optimization algorithm for continuous function optimization problems. Knowl. Based Syst. 62: 69-83 (2014) - [j35]Akhil Garg, V. Vijayaraghavan, C. H. Wong, Kang Tai, Liang Gao:
An embedded simulation approach for modeling the thermal conductivity of 2D nanoscale material. Simul. Model. Pract. Theory 44: 1-13 (2014) - [j34]Akhil Garg, V. Vijayaraghavan, C. H. Wong, Kang Tai, K. Sumithra, Liang Gao, Pravin M. Singru:
Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet. Simul. Model. Pract. Theory 48: 93-111 (2014) - [c44]Tao Gu, Hao Li, Li Zhang, Liang Gao:
A level set method for structural shape and topology optimization using Radial Basis Function. CSCWD 2014: 408-413 - [c43]Mi Xiao, Haihong Xiong, Liang Gao, Qiangzhuang Yao:
An Efficient Method for Structural Reliability Analysis Using Evidence Theory. CSE 2014: 144-149 - [c42]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 - [c41]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
- [j33]Yinzhi Zhou, Xinyu Li, Liang Gao:
A differential evolution algorithm with intersect mutation operator. Appl. Soft Comput. 13(1): 390-401 (2013) - [j32]Long Wen, Liang Gao, Xinyu Li, Liping Zhang:
Free Pattern Search for global optimization. Appl. Soft Comput. 13(9): 3853-3863 (2013) - [j31]Li Nie, Liang Gao, Peigen Li, Xinyu Shao:
Reactive scheduling in a job shop where jobs arrive over time. Comput. Ind. Eng. 66(2): 389-405 (2013) - [j30]Guoqing Jin, Weidong Li, Liang Gao, Keith Popplewell:
A hybrid and adaptive tool-path generation approach of rapid prototyping and manufacturing for biomedical models. Comput. Ind. 64(3): 336-349 (2013) - [j29]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) - [j28]Jida Huang, Xinyu Li, Liang Gao:
A new hybrid algorithm for unconstrained optimisation problems. Int. J. Comput. Appl. Technol. 46(3): 187-194 (2013) - [j27]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) - [j26]Tao Wu, Xiaobing Pei, Yongzhong Lu, Changqing Chen, Liang Gao:
A distributed collaborative product design environment based on semantic norm model and role-based access control. J. Netw. Comput. Appl. 36(6): 1431-1440 (2013) - [j25]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) - [c40]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 - [c39]Yang Yang, Xinyu Li, Liang Gao:
Parameters optimization of a multi-pass milling process based on imperialist competitive algorithm. CSCWD 2013: 406-410 - [c38]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 - [c37]Jian Kang, Ping Jiang, Liang Gao, Jun Zheng:
A Quadratic Exterior Penalty Function Based Probabilistic Analytical Target Cascading Method. HPCC/EUC 2013: 153-157 - [c36]Kai Xia, Liang Gao, Lihui Wang, Weidong Li, Kuo-Ming Chao:
A Simplified Teaching-Learning-Based Optimization Algorithm for Disassembly Sequence Planning. ICEBE 2013: 393-398 - [c35]Xi Vincent Wang, Lihui Wang, Liang Gao:
From Cloud Manufacturing to Cloud Remanufacturing: A Cloud-Based Approach for WEEE. ICEBE 2013: 399-406 - [c34]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 - [c33]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 - [c32]Yinzhi Zhou, Xinyu Li, Liang Gao:
A Novel Two-Layer Hierarchical Differential Evolution Algorithm for Global Optimization. SMC 2013: 2916-2921 - 2012
- [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]Gang Huang, Jin H. Li, Xiao D. Yuan, Liang Gao, Yunqing Rao:
RFID-enabled real-time PBS monitoring for automobile assembly factory. Int. J. Comput. Integr. Manuf. 25(1): 66-85 (2012) - [c31]Long Wen, Liang Gao, Liping Zhang:
Modeling the performance of electrochemical machining process using free pattern search. ICCI*CC 2012: 465-471 - [c30]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 - [c29]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 - [c28]Weidong Li, Kuo-Ming Chao, Guoqing Jin, Kai Xia, Liang Gao:
Sustainable information management for Waste Electrical and Eletronic Equipment. CSCWD 2012: 875-881 - [e1]Liang Gao, Weiming Shen, Jean-Paul A. Barthès, Junzhou Luo, Jianming Yong, Wenfeng Li, Weidong Li:
IEEE 16th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2012, May 23-25, 2012, Wuhan, China. IEEE 2012, ISBN 978-1-4673-1212-7 [contents] - 2011
- [j19]Quan-Ke Pan, Ling Wang, Liang Gao:
A chaotic harmony search algorithm for the flow shop scheduling problem with limited buffers. Appl. Soft Comput. 11(8): 5270-5280 (2011) - [j18]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) - [j17]Quan-Ke Pan, Ponnuthurai N. Suganthan, Ling Wang, Liang Gao, Rammohan Mallipeddi:
A differential evolution algorithm with self-adapting strategy and control parameters. Comput. Oper. Res. 38(1): 394-408 (2011) - [j16]Guohui Zhang, Liang Gao, Yang Shi:
An effective genetic algorithm for the flexible job-shop scheduling problem. Expert Syst. Appl. 38(4): 3563-3573 (2011) - [j15]Hongcheng Liu, Liang Gao, Quan-Ke Pan:
A hybrid particle swarm optimization with estimation of distribution algorithm for solving permutation flowshop scheduling problem. Expert Syst. Appl. 38(4): 4348-4360 (2011) - [j14]Quan-Ke Pan, Ling Wang, Liang Gao, Weidong Li:
An effective hybrid discrete differential evolution algorithm for the flow shop scheduling with intermediate buffers. Inf. Sci. 181(3): 668-685 (2011) - [j13]Yang Shi, Hongcheng Liu, Liang Gao, Guohui Zhang:
Cellular particle swarm optimization. Inf. Sci. 181(20): 4460-4493 (2011) - [c27]Guoqing Jin, Weidong Li, Liang Gao:
Tool-paths optimization of rapid prototyping to support product verification and collaboration. CSCWD 2011: 120-124 - [c26]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 - [c25]Li Nie, Liang Gao, Peigen Li, Liping Zhang:
Application of gene expression programming on dynamic job shop scheduling problem. CSCWD 2011: 291-295 - [c24]Hongyan Sang, Liang Gao, Xinyu Li:
A Differential Evolution Algorithm for Lot-Streaming Flow Shop Scheduling Problem. ICIC (1) 2011: 576-583 - [c23]Xinyu Li, Liang Gao:
A collaborative evolutionary algorithm for multi-objective flexible job shop scheduling problem. SMC 2011: 997-1002 - [c22]Li Nie, Liang Gao, Peigen Li, Xiaojuan Wang:
Multi-Objective Optimization for Dynamic Single-Machine Scheduling. ICSI (2) 2011: 1-9 - [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
- [j12]Ping Jiang, Xinyu Shao, Liang Gao, Haobo Qiu, Peigen Li:
A process-view approach for cross-organizational workflows management. Adv. Eng. Informatics 24(2): 229-240 (2010) - [j11]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) - [j10]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) - [j9]Xue-Zheng Chu, Liang Gao, Haobo Qiu, Weidong Li, Xinyu Shao:
An expert system using rough sets theory and self-organizing maps to design space exploration of complex products. Expert Syst. Appl. 37(11): 7364-7372 (2010) - [j8]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) - [j7]Li Zhang, Liang Gao, Xinyu Shao, Long Wen, Jun Zhi:
A PSO-Fuzzy group decision-making support system in vehicle performance evaluation. Math. Comput. Model. 52(11-12): 1921-1931 (2010) - [c21]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 - [c20]Xinyu Li, Liang Gao, Xinyu Shao, Qing Wu:
An effective modified Particle Swarm Optimization algorithm for process planning. BIC-TA 2010: 928-932 - [c19]Longbiao Zhao, Zhimin Chen, Haobo Qiu, Liang Gao:
A PDOC Method for Topology Optimization Design. ICIC (1) 2010: 555-563 - [c18]Jie Liu, Chaoyong Zhang, Liang Gao, Xiaojuan Wang:
Research on flexible job-shop scheduling problem under uncertainty based on genetic algorithm. ICNC 2010: 2462-2467 - [c17]Lipeng Li, Xue-Zheng Chu, Qiuhao Bo, Liang Gao, Xinyu Shao:
Analytical Target Cascading Based on Physical Programming. SMC 2010: 3060-3067 - [c16]X. Y. Li, Liang Gao, L. P. Li, Q. F. Sun, Weidong Li:
A genetic algorithm for multi-objective collaborative process planning and scheduling problem. SMC 2010: 3354-3357
2000 – 2009
- 2009
- [j6]Guohui Zhang, Xinyu Shao, Peigen Li, Liang Gao:
An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem. Comput. Ind. Eng. 56(4): 1309-1318 (2009) - [j5]Xue-Zheng Chu, Liang Gao, Weidong Li, Haobo Qiu, Xinyu Shao:
An Uncertainty Analysis Approach to Multidisciplinary Design Optimization. Concurr. Eng. Res. Appl. 17(2): 121-128 (2009) - [j4]Ping Jiang, Xinyu Shao, Haobo Qiu, Liang Gao, Peigen Li:
A Web services and process-view combined approach for process management of collaborative product development. Comput. Ind. 60(6): 416-427 (2009) - [j3]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) - [j2]Xinyu Shao, Xue-Zheng Chu, Haobo Qiu, Liang Gao, Jun Yan:
An expert system using rough sets theory for aided conceptual design of ship's engine room automation. Expert Syst. Appl. 36(2): 3223-3233 (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) - [c15]Xinyu Li, Weidong Li, Liang Gao, Chaoyong Zhang, Xinyu Shao:
Multi-agent based integration of process planning and scheduling. CSCWD 2009: 215-220 - [c14]Ping Jiang, Liang Gao, Peigen Li, Haobo Qiu:
Collaborative execution mechanisms for the TCPN-enhanced process-view approach based inter-enterprises workflow. CSCWD 2009: 480-485 - [c13]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
- [c12]Weidong Li, Liang Gao, X. Y. Li, Y. Guo:
Game theory-based Cooperation of Process Planning and Scheduling. CSCWD 2008: 841-845 - [c11]Xiaojuan Wang, Liang Gao, Chaoyong Zhang:
Electromagnetism-Like Mechanism Based Algorithm for Neural Network Training. ICIC (2) 2008: 40-45 - [c10]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 - [c9]Guohui Zhang, Liang Gao, Xinyu Li, Peigen Li:
Variable Neighborhood Genetic Algorithm for the Flexible Job Shop Scheduling Problems. ICIRA (2) 2008: 503-512 - [c8]Xiaojuan Wang, Chaoyong Zhang, Liang Gao, Peigen Li:
A Survey and Future Trend of Study on Multi-Objective Scheduling. ICNC (6) 2008: 382-391 - 2007
- [c7]Ping Jiang, Xinyu Shao, Liang Gao, Zhenfeng Yang:
A Multi-agent System for Cross-Organizational Workflows Management Based on Process-View. International Conference on Computational Science (3) 2007: 212-215 - [c6]Xinyu Shao, Zhimin Chen, Mingang Fu, Liang Gao:
Multi-objective Topology Optimization of Structures Using NN-OC Algorithms. ISNN (3) 2007: 204-212 - 2006
- [c5]Xinyu Shao, Ping Jiang, Haobo Qiu, Liang Gao:
Workflow Modeling for Virtual Enterprise: a Petri Net Based Process-View Approach. CSCWD 2006: 1213-1218 - [c4]Xinyu Shao, Li Zhang, Liang Gao, Rui Chen:
Fuzzy Multiple Attributive Group Decision-Making for Conflict Resolution in Collaborative Design. FSKD 2006: 990-999 - [c3]Liang Gao, Chi Zhou, Hai-Bing Gao, Yong-Ren Shi:
Combining Particle Swarm Optimization and Neural Network for Diagnosis of Unexplained Syncope. ICIC (3) 2006: 174-181 - [c2]Liang Gao, Chi Zhou, Hai-Bing Gao, Yong-Ren Shi:
Credit Scoring Model Based on Neural Network with Particle Swarm Optimization. ICNC (1) 2006: 76-79 - [c1]Chi Zhou, Liang Gao, Hai-Bing Gao, Kun Zan:
Particle Swarm Optimization for Simultaneous Optimization of Design and Machining Tolerances. SEAL 2006: 873-880
Coauthor Index
[j349] [j347] [j344] [j343] [j342] [j340] [j339] [j338] [j336] [j332] [j327] [j325] [j324] [j323] [j320] [j316] [j315] [j314] [j312] [j311] [j306] [j304] [j303] [j302] [j301] [c107] [c106] [i11] [b4] [j296] [j294] [j293] [j290] [j288] [j285] [j284] [j278] [j274] [j273] [j268] [j262] [j260] [j258] [j257] [j254] [c105] [c102] [c101] [i8] [j252] [j250] [j249] [j246] [j245] [j239] [j238] [j235] [j232] [j231] [j230] [j224] [j222] [j221] [j220] [j219] [j217] [j216] [j215] [j214] [j213] [j212] [j211] [j210] [j209] [c99] [c98] [c97] [c96] [c95] [c94] [i7] [j207] [j205] [j204] [j202] [j199] [j198] [j191] [j190] [j188] [j186] [j183] [j177] [j176] [j172] [j171] [j170] [j169] [j168] [j166] [j165] [c92] [c91] [c90] [c89] [i6] [b1] [j159] [j158] [j151] [j150] [j149] [j148] [j147] [j146] [j145] [j144] [j140] [j137] [j132] [j131] [j130] [j128] [c88] [c87] [c84] [j127] [j126] [j122] [j120] [j116] [j115] [j114] [j113] [j111] [j110] [j109] [j107] [j106] [j103] [j102] [j101] [j94] [j93] [j91] [j90] [c82] [c81] [c80] [c79] [c77] [c76] [c73] [c70] [c69] [c68] [j87] [j85] [j81] [j79] [j78] [j75] [j73] [c64] [c62] [i5] [i2] [j72] [j70] [j69] [j67] [j66] [j65] [j63] [c60] [c57] [c56] [c55] [i1] [j62] [j61] [j60] [j59] [j57] [j56] [j55] [c54] [c52] [c50] [j51] [j50] [j49] [j48] [j47] [j45] [j44] [c48] [j41] [j38] [j37] [c42] [c41] [j33] [j32] [j29] [j28] [j27] [j25] [c40] [c39] [c38] [c34] [c33] [c32] [j24] [j23] [j22] [j21] [c30] [c29] [j18] [c26] [c24] [c23] [p1] [j11] [j10] [j8] [c21] [c20] [j3] [j1] [c15] [c13] [c10] [c9]
Quan-Ke Pan
aka: Quanke Pan
aka: Quanke Pan
[j335] [j330] [j326] [j313] [j310] [j289] [j286] [j277] [j276] [j271] [j269] [j265] [j255] [j247] [j237] [j227] [j226] [j225] [j218] [j208] [j203] [j201] [j200] [j197] [j196] [j195] [j191] [j182] [j175] [j161] [j157] [j136] [j128] [j126] [j124] [j122] [j120] [j119] [j114] [j113] [j95] [j94] [j90] [c78] [j86] [j84] [j83] [j72] [j71] [j69] [j64] [c59] [j53] [j52] [c51] [c49] [j45] [j36] [j19] [j17] [j15] [j14]
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