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ORCIDLing Wang 0001
Person information
- affiliation (PhD 1999): Tsinghua University, Department of Automation, TNList, Beijing, China
Other persons with the same name
- Ling Wang — disambiguation page
- Ling Wang 0002 — Worcester Polytechnic Institute, Department of Computer Science, MA, USA
- Ling Wang 0003 — Xidian University, Institute of Intelligent Information Processing, Xi'an, China
- Ling Wang 0004 — Harbin Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Ling Wang 0005
![[0000-0002-1081-6017]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1081-6017")
— Harbin Institute of Technology, School of Computer Science and Technology, China (and 1 more) - Ling Wang 0006 — University of Oklahoma-Tulsa, School of Electrical and Computer Engineering, OK, USA
- Ling Wang 0007 — Northwestern Polytechnical University, Electronics and Information School, Xi'an, China
- Ling Wang 0008 — South China University of Technology, School of Bioscience and Bioengineering, Guangzhou, China
- Ling Wang 0009 — Shanghai University, School of Mechatronics Engineering and Automation, China (and 1 more)
- Ling Wang 0010 — Harbin Institute of Technology, Institute of Optic-Electronics, State Key Laboratory of Tunable Laser Technology Research, China
- Ling Wang 0011 — Northeast Electric Power University, Department of Computer Technology, School of Information Engineering, China (and 2 more)
- Ling Wang 0012 — Nanjing University of Aeronautics and Astronautics, Department of Information and Communication Engineering, Key Laboratory of Radar Imaging and Microwave Photonics of the Ministry of Education, China (and 1 more)
- Ling Wang 0013 — University of Electronic Science and Technology of China, Center for Robotics, Chengdu, China
- Ling Wang 0014 — University of science and technology of Beijing, School of automation and Electrical Engineering, China
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Journal Articles
- 2025
[j271]Yuan-yuan Yang, Bin Qian, Zuocheng Li, Rong Hu, Ling Wang:
Q-learning based hyper-heuristic with clustering strategy for combinatorial optimization: A case study on permutation flow-shop scheduling problem. Comput. Oper. Res. 173: 106833 (2025)- [j270]Zi-Qi Zhang, Xing-Han Qiu, Bin Qian, Rong Hu, Ling Wang, Jian-Bo Yang:
Knowledge-enhanced multidimensional estimation of distribution hyper-heuristic evolutionary algorithm for semiconductor final testing scheduling problem. Expert Syst. Appl. 260: 125424 (2025) - [j269]Ziqi Ding, Zuocheng Li, Bin Qian, Rong Hu, Rongjuan Luo, Ling Wang:
Two-stage multi-objective optimization based on knowledge-driven approach: A case study on production and transportation integration. Future Gener. Comput. Syst. 163: 107494 (2025) - 2024
- [j268]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) - [j267]Rui Li, Ling Wang, Wenyin Gong, Jingfang Chen, Zixiao Pan, Yuting Wu, Yang Yu:
Evolutionary computation and reinforcement learning integrated algorithm for distributed heterogeneous flowshop scheduling. Eng. Appl. Artif. Intell. 135: 108775 (2024) - [j266]Jinrui Li, Guohua Wu, Ling Wang:
A comprehensive survey of weapon target assignment problem: Model, algorithm, and application. Eng. Appl. Artif. Intell. 137: 109212 (2024) - [j265]Yuyan Han, Yuting Wang, Quan-ke Pan, Ling Wang, Mehmet Fatih Tasgetiren:
Accelerated evaluation of blocking flowshop scheduling with total flow time criteria using a generalized critical machine-based approach. Eur. J. Oper. Res. 318(2): 424-441 (2024) - [j264]Xupeng Wen, Guohua Wu, Shuanglin Li, Ling Wang:
Ensemble multi-objective optimization approach for heterogeneous drone delivery problem. Expert Syst. Appl. 249: 123472 (2024) - [j263]Rui Wang, Zhiming Zhou, Kaiwen Li, Tao Zhang, Ling Wang, Xin Xu, Xiangke Liao:
Learning to Branch in Combinatorial Optimization with Graph Pointer Networks. IEEE CAA J. Autom. Sinica 11(1): 157-169 (2024) - [j262]Sheng Qi, Rui Wang, Tao Zhang, Xu Yang, Ruiqing Sun, Ling Wang:
A Two-Layer Encoding Learning Swarm Optimizer Based on Frequent Itemsets for Sparse Large-Scale Multi-Objective Optimization. IEEE CAA J. Autom. Sinica 11(6): 1342-1357 (2024) - [j261]Sheng Qi, Rui Wang, Tao Zhang, Weixiong Huang, Fan Yu, Ling Wang:
Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems. IEEE CAA J. Autom. Sinica 11(8): 1786-1801 (2024) - [j260]Yuting Wu, Ling Wang, Jingfang Chen, Jie Zheng, Zixiao Pan:
A reinforcement learning driven two-stage evolutionary optimisation for hybrid seru system scheduling with worker transfer. Int. J. Prod. Res. 62(11): 3952-3971 (2024) - [j259]Fuqing Zhao, Hui Zhang, Ling Wang, Tianpeng Xu, Ningning Zhu, Jonrinaldi:
A multi-objective discrete differential evolution algorithm for energy-efficient distributed blocking flow shop scheduling problem. Int. J. Prod. Res. 62(12): 4226-4244 (2024) - [j258]Yile Liang, Haocheng Luo, Haining Duan, Donghui Li, Hongsen Liao, Jie Feng, Jiuxia Zhao, Hao Ren, Xuetao Ding, Ying Cha, Qingte Zhou, Chenqi Situ, Jinghua Hao, Ke Xing, Feifan Yin, Renqing He, Yang Sun, Yueqiang Zheng, Yipeng Feng, Zhizhao Sun, Jingfang Chen, Jie Zheng, Ling Wang:
Meituan's Real-Time Intelligent Dispatching Algorithms Build the World's Largest Minute-Level Delivery Network. INFORMS J. Appl. Anal. 54(1): 84-101 (2024) - [j257]Hangqi Yan, Yuexian Wang, Mohammad S. Obaidat, Chuang Han, Ling Wang, Joel J. P. C. Rodrigues:
Direct Position Determination With a Moving Extended Nested Array by Spatial Sparsity. IEEE Internet Things J. 11(4): 6301-6313 (2024) - [j256]Baosheng Li, Weifeng Gao, Jin Xie, Maoguo Gong, Ling Wang, Hong Li:
Prototype-Based Decentralized Federated Learning for the Heterogeneous Time-Varying IoT Systems. IEEE Internet Things J. 11(4): 6916-6927 (2024) - [j255]Qianlong Dang, Guanghui Zhang, Ling Wang, Shuai Yang, Tao Zhan:
Hybrid IoT Device Selection With Knowledge Transfer for Federated Learning. IEEE Internet Things J. 11(7): 12216-12227 (2024) - [j254]Zhen Chen, Yuanjun Laili, Lin Zhang, Ling Wang:
A Trans-Ptr-Nets-Based Transfer Optimization Method for Multiobjective Flexible Job-Shop Scheduling in IIoT. IEEE Internet Things J. 11(14): 25382-25393 (2024) - [j253]Yongtai Yin, Yuexian Wang, Yanyun Gong, Neeraj Kumar, Ling Wang, Joel J. P. C. Rodrigues:
Joint Multipath Channel Estimation and Array Channel Inconsistency Calibration for Massive MIMO Systems. IEEE Internet Things J. 11(23): 37407-37420 (2024) - [j252]Nan-Jiang Dong, Tao Zhang, Rui Wang, Xiangke Liao, Ling Wang:
An evolutionary algorithm based on fully connected weight networks for mixed-variable multi-objective optimization. Inf. Sci. 659: 120053 (2024) - [j251]Fuhao Gao, Weifeng Gao, Lingling Huang, Song Zhang, Maoguo Gong, Ling Wang:
Effective transferred knowledge identified by bipartite graph for multiobjective multitasking optimization. Knowl. Based Syst. 290: 111530 (2024) - [j250]Rong Hu, Yu-Fang Huang, Xing Wu, Bin Qian, Ling Wang, Zi-Qi Zhang:
Collaborative Q-learning hyper-heuristic evolutionary algorithm for the production and transportation integrated scheduling of silicon electrodes. Swarm Evol. Comput. 86: 101498 (2024) - [j249]Ningning Zhu, Fuqing Zhao, Ling Wang, Chenxin Dong:
An enhanced Kalman filtering and historical learning mechanism driven estimation of distribution algorithm. Swarm Evol. Comput. 86: 101502 (2024) - [j248]Zi-Qi Zhang, Yan-Xuan Xu, Bin Qian, Rong Hu, Fang-Chun Wu, Ling Wang:
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems. Swarm Evol. Comput. 87: 101559 (2024) - [j247]Lizhong Yao, Jia Chen, Ling Wang, Rui Li, Haijun Luo, Jun Yi:
Multi-objective optimization driven by preponderant individuals and symmetric sampling for operational parameter design in aluminum electrolysis process. Swarm Evol. Comput. 87: 101574 (2024) - [j246]Yuting Wu, Ling Wang, Rui Li, Jing-fang Chen:
A reinforcement learning-driven adaptive decomposition algorithm for multi-objective hybrid seru system scheduling considering worker transfer. Swarm Evol. Comput. 88: 101602 (2024) - [j245]Ningning Zhu, Fuqing Zhao, Yang Yu, Ling Wang:
A cooperative learning-aware dynamic hierarchical hyper-heuristic for distributed heterogeneous mixed no-wait flow-shop scheduling. Swarm Evol. Comput. 90: 101668 (2024) - [j244]Ningning Zhu, Fuqing Zhao, Yang Yu, Ling Wang:
A hierarchical reinforcement learning-aware hyper-heuristic algorithm with fitness landscape analysis. Swarm Evol. Comput. 90: 101669 (2024) - [j243]Fuhao Gao, Lingling Huang, Weifeng Gao, Longyue Li, Shuqi Wang, Maoguo Gong, Ling Wang:
Transferring knowledge by budget online learning for multiobjective multitasking optimization. Swarm Evol. Comput. 91: 101765 (2024) - [j242]Huan Liu, Guohua Wu, Bin Ji, Ling Wang:
Multiobjective Variable Neighborhood Descent for Heterogeneous Multi-UAV Coordinated Scheduling. IEEE Trans. Aerosp. Electron. Syst. 60(2): 1808-1823 (2024) - [j241]Rui Wang, Wei Liu, Kaiwen Li, Tao Zhang, Ling Wang, Xin Xu:
Solving Orienteering Problems by Hybridizing Evolutionary Algorithm and Deep Reinforcement Learning. IEEE Trans. Artif. Intell. 5(11): 5493-5508 (2024) - [j240]Rui Li, Wenyin Gong, Ling Wang, Chao Lu, Zixiao Pan, Xinying Zhuang:
Double DQN-Based Coevolution for Green Distributed Heterogeneous Hybrid Flowshop Scheduling With Multiple Priorities of Jobs. IEEE Trans Autom. Sci. Eng. 21(4): 6550-6562 (2024) - [j239]Libao Deng, Yuanzhu Di, Ling Wang:
A Reinforcement-Learning-Based 3-D Estimation of Distribution Algorithm for Fuzzy Distributed Hybrid Flow-Shop Scheduling Considering On-Time-Delivery. IEEE Trans. Cybern. 54(2): 1024-1036 (2024) - [j238]Guanghui Zhang, Bo Liu, Ling Wang, Keyi Xing:
Distributed Heterogeneous Co-Evolutionary Algorithm for Scheduling a Multistage Fine-Manufacturing System With Setup Constraints. IEEE Trans. Cybern. 54(3): 1497-1510 (2024) - [j237]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) - [j236]Kunjie Yu, Dezheng Zhang, Jing Liang, Boyang Qu, Mengnan Liu, Ke Chen, Caitong Yue, Ling Wang:
A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(4): 1127-1140 (2024) - [j235]Haoxiang Qin, Wenlei Bai, Yi Xiang, Fangqing Liu, Yuyan Han, Ling Wang:
A Self-Adaptive Collaborative Differential Evolution Algorithm for Solving Energy Resource Management Problems in Smart Grids. IEEE Trans. Evol. Comput. 28(5): 1427-1441 (2024) - [j234]Aijuan Song, Guohua Wu, Ling Zhou, Ling Wang, Witold Pedrycz:
Exact and Metaheuristic Algorithms for Variable Reduction. IEEE Trans. Evol. Comput. 28(6): 1704-1718 (2024) - [j233]Yuhang Wang, Yuyan Han, Yuting Wang, Quan-Ke Pan, Ling Wang:
Sustainable Scheduling of Distributed Flow Shop Group: A Collaborative Multi-Objective Evolutionary Algorithm Driven by Indicators. IEEE Trans. Evol. Comput. 28(6): 1794-1808 (2024) - [j232]Shuijia Li, Wenyin Gong, Ling Wang, Qiong Gu:
Evolutionary Multitasking via Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 762-775 (2024) - [j231]Zixiao Pan, Ling Wang, Chenxin Dong, Jing-Fang Chen:
A Knowledge-Guided End-to-End Optimization Framework Based on Reinforcement Learning for Flow Shop Scheduling. IEEE Trans. Ind. Informatics 20(2): 1853-1861 (2024) - [j230]Jingfang Chen, Ling Wang, Yile Liang, Yang Yu, Jie Feng, Jiuxia Zhao, Xuetao Ding:
Order Dispatching Via GNN-Based Optimization Algorithm for On-Demand Food Delivery. IEEE Trans. Intell. Transp. Syst. 25(10): 13147-13162 (2024) - [j229]Rui Li, Wenyin Gong, Ling Wang, Chao Lu, Chenxin Dong:
Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 201-211 (2024) - [j228]Wenhua Li, Rui Wang, Shengjun Huang, Tao Zhang, Ling Wang:
Large-Scale Binary Matrix Optimization for Multimicrogrids Network Structure Design. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1633-1644 (2024) - [j227]Fuqing Zhao, Changxue Zhuang, Ling Wang, Chenxin Dong:
An Iterative Greedy Algorithm With Q-Learning Mechanism for the Multiobjective Distributed No-Idle Permutation Flowshop Scheduling. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 3207-3219 (2024) - [j226]Feng Yao, Yingguo Chen, Ling Wang, Zhongxiang Chang, Pei-Qiu Huang, Yong Wang:
A Bilevel Evolutionary Algorithm for Large-Scale Multiobjective Task Scheduling in Multiagile Earth Observation Satellite Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3512-3524 (2024) - 2023
- [j225]Huan Liu, Fuqing Zhao, Ling Wang, Jie Cao, Jianxin Tang, Jonrinaldi:
An estimation of distribution algorithm with multiple intensification strategies for two-stage hybrid flow-shop scheduling problem with sequence-dependent setup time. Appl. Intell. 53(5): 5160-5178 (2023) - [j224]Fuqing Zhao, Xiaotong Hu, Ling Wang, Tianpeng Xu, Ningning Zhu, Jonrinaldi:
A brain storm optimization algorithm with feature information knowledge and learning mechanism. Appl. Intell. 53(5): 5199-5223 (2023) - [j223]Fuqing Zhao, Zhenyu Wang, Ling Wang, Tianpeng Xu, Ningning Zhu, Jonrinaldi:
An exploratory landscape analysis driven artificial bee colony algorithm with maximum entropic epistasis. Appl. Soft Comput. 137: 110139 (2023) - [j222]Mao Tan, Zhuocen Dai, Yongxin Su, Caixue Chen, Ling Wang, Jie Chen:
Bi-level optimization of charging scheduling of a battery swap station based on deep reinforcement learning. Eng. Appl. Artif. Intell. 118: 105557 (2023) - [j221]Jing-jing Wang, Ling Wang, Xia Xiu:
A cooperative memetic algorithm for energy-aware distributed welding shop scheduling problem. Eng. Appl. Artif. Intell. 120: 105877 (2023) - [j220]Fuqing Zhao, Zhenyu Wang, Ling Wang, Tianpeng Xu, Ningning Zhu, Jonrinaldi:
A multi-agent reinforcement learning driven artificial bee colony algorithm with the central controller. Expert Syst. Appl. 219: 119672 (2023) - [j219]Zi-Qi Zhang, Fang-Chun Wu, Bin Qian, Rong Hu, Ling Wang, Huai-Ping Jin:
A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation. Expert Syst. Appl. 234: 121050 (2023) - [j218]Wenhua Li, Xingyi Yao, Kaiwen Li, Rui Wang, Tao Zhang, Ling Wang:
Coevolutionary Framework for Generalized Multimodal Multi-Objective Optimization. IEEE CAA J. Autom. Sinica 10(7): 1544-1556 (2023) - [j217]Fuqing Zhao, Xiaotong Hu, Ling Wang, Tianpeng Xu, Ningning Zhu, Jonrinaldi:
A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem. Int. J. Prod. Res. 61(9): 2854-2872 (2023) - [j216]Huixiang Zhen, Shijie Xiong, Wenyin Gong, Ling Wang:
Neighborhood evolutionary sampling with dynamic repulsion for expensive multimodal optimization. Inf. Sci. 630: 82-97 (2023) - [j215]Fei Ming, Wenyin Gong, Shuijia Li, Ling Wang, Zuowen Liao:
Handling constrained many-objective optimization problems via determinantal point processes. Inf. Sci. 643: 119260 (2023) - [j214]Kunjie Yu, Shaoru Sun, Jing Liang, Ke Chen, Boyang Qu, Caitong Yue, Ling Wang:
A bidirectional dynamic grouping multi-objective evolutionary algorithm for feature selection on high-dimensional classification. Inf. Sci. 648: 119619 (2023) - [j213]Fuqing Zhao, Qiaoyun Wang, Ling Wang:
An inverse reinforcement learning framework with the Q-learning mechanism for the metaheuristic algorithm. Knowl. Based Syst. 265: 110368 (2023) - [j212]Yuting Wu, Ling Wang, Xinying Zhuang, Jing-jing Wang, Jing-Fang Chen, Jie Zheng:
A cooperative coevolutionary algorithm with problem-specific knowledge for energy-efficient scheduling in seru system. Knowl. Based Syst. 274: 110663 (2023) - [j211]Teng Ren, Tian-yu Luo, Binbin Jia, Bihao Yang, Ling Wang, Lining Xing:
Improved ant colony optimization for the vehicle routing problem with split pickup and split delivery. Swarm Evol. Comput. 77: 101228 (2023) - [j210]Zhongqiang Ma, Guohua Wu, Bin Ji, Ling Wang, Qizhang Luo, Xinjiang Chen:
A Novel Scattered Storage Policy Considering Commodity Classification and Correlation in Robotic Mobile Fulfillment Systems. IEEE Trans Autom. Sci. Eng. 20(2): 1020-1033 (2023) - [j209]Fuqing Zhao, Zhenyu Wang, Ling Wang:
A Reinforcement Learning Driven Artificial Bee Colony Algorithm for Distributed Heterogeneous No-Wait Flowshop Scheduling Problem With Sequence-Dependent Setup Times. IEEE Trans Autom. Sci. Eng. 20(4): 2305-2320 (2023) - [j208]Xiaohan Wang, Yaping Dai, Ling Wang, Zhiyang Jia:
Transient Analysis and Scheduling of Bernoulli Serial Lines With Multi-Type Products and Finite Buffers. IEEE Trans Autom. Sci. Eng. 20(4): 2367-2382 (2023) - [j207]Huixiang Zhen, Wenyin Gong, Ling Wang, Fei Ming, Zuowen Liao:
Two-Stage Data-Driven Evolutionary Optimization for High-Dimensional Expensive Problems. IEEE Trans. Cybern. 53(4): 2368-2379 (2023) - [j206]Fuqing Zhao, Shilu Di, Ling Wang:
A Hyperheuristic With Q-Learning for the Multiobjective Energy-Efficient Distributed Blocking Flow Shop Scheduling Problem. IEEE Trans. Cybern. 53(5): 3337-3350 (2023) - [j205]Jing J. Liang, Kangjia Qiao, Kunjie Yu, Boyang Qu, Caitong Yue, Weifeng Guo, Ling Wang:
Utilizing the Relationship Between Unconstrained and Constrained Pareto Fronts for Constrained Multiobjective Optimization. IEEE Trans. Cybern. 53(6): 3873-3886 (2023) - [j204]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) - [j203]Rui Li, Wenyin Gong, Ling Wang, Chao Lu, Xinying Zhuang:
Surprisingly Popular-Based Adaptive Memetic Algorithm for Energy-Efficient Distributed Flexible Job Shop Scheduling. IEEE Trans. Cybern. 53(12): 8013-8023 (2023) - [j202]Wenhua Li, Xingyi Yao, Tao Zhang, Rui Wang, Ling Wang:
Hierarchy Ranking Method for Multimodal Multiobjective Optimization With Local Pareto Fronts. IEEE Trans. Evol. Comput. 27(1): 98-110 (2023) - [j201]Yu-Jun Zheng, Xin Chen, Qin Song, Jun Yang, Ling Wang:
Evolutionary Optimization of COVID-19 Vaccine Distribution With Evolutionary Demands. IEEE Trans. Evol. Comput. 27(1): 141-154 (2023) - [j200]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) - [j199]Rui Li, Wenyin Gong, Chao Lu, Ling Wang:
A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time. IEEE Trans. Evol. Comput. 27(3): 610-620 (2023) - [j198]Huixiang Zhen, Wenyin Gong, Ling Wang:
Evolutionary Sampling Agent for Expensive Problems. IEEE Trans. Evol. Comput. 27(3): 716-727 (2023) - [j197]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) - [j196]Kunjie Yu, Dezheng Zhang, Jing Liang, Ke Chen, Caitong Yue, Kangjia Qiao, Ling Wang:
A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(5): 1398-1412 (2023) - [j195]Zixiao Pan, Ling Wang, Jie Zheng, Jing-Fang Chen, Xing Wang:
A Learning-Based Multipopulation Evolutionary Optimization for Flexible Job Shop Scheduling Problem With Finite Transportation Resources. IEEE Trans. Evol. Comput. 27(6): 1590-1603 (2023) - [j194]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) - [j193]Zi-Xiao Pan, Ling Wang, Jingjing Wang, Jiawen Lu:
Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 983-994 (2023) - [j192]Haoxiang Qin, Yuyan Han, Qingda Chen, Ling Wang, Yuting Wang, Junqing Li, Yiping Liu:
Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1442-1457 (2023) - [j191]Fuqing Zhao, Zesong Xu, Ling Wang, Ningning Zhu, Tianpeng Xu, Jonrinaldi:
A Population-Based Iterated Greedy Algorithm for Distributed Assembly No-Wait Flow-Shop Scheduling Problem. IEEE Trans. Ind. Informatics 19(5): 6692-6705 (2023) - [j190]Fuqing Zhao, Tao Jiang, Ling Wang:
A Reinforcement Learning Driven Cooperative Meta-Heuristic Algorithm for Energy-Efficient Distributed No-Wait Flow-Shop Scheduling With Sequence-Dependent Setup Time. IEEE Trans. Ind. Informatics 19(7): 8427-8440 (2023) - [j189]Fuqing Zhao, Hui Zhang, Ling Wang:
A Pareto-Based Discrete Jaya Algorithm for Multiobjective Carbon-Efficient Distributed Blocking Flow Shop Scheduling Problem. IEEE Trans. Ind. Informatics 19(8): 8588-8599 (2023) - [j188]Xing Wang, Ling Wang, Shengyao Wang, Jize Pan, Hao Ren, Jie Zheng:
Recommending-and-Grabbing: A Crowdsourcing-Based Order Allocation Pattern for On-Demand Food Delivery. IEEE Trans. Intell. Transp. Syst. 24(1): 838-853 (2023) - [j187]Xing Wang, Ling Wang, Chenxin Dong, Hao Ren, Ke Xing:
An Online Deep Reinforcement Learning-Based Order Recommendation Framework for Rider-Centered Food Delivery System. IEEE Trans. Intell. Transp. Syst. 24(5): 5640-5654 (2023) - [j186]Qizhang Luo, Guohua Wu, Anupam Trivedi, Fangyu Hong, Ling Wang, Dipti Srinivasan:
Multi-Objective Optimization Algorithm With Adaptive Resource Allocation for Truck-Drone Collaborative Delivery and Pick-Up Services. IEEE Trans. Intell. Transp. Syst. 24(9): 9642-9657 (2023) - [j185]Yuexian Wang, Mohammad S. Obaidat, Yongtai Yin, Ling Wang, Joel J. P. C. Rodrigues, Balqies Sadoun:
Robust Sparse Direct Localization of Smart Vehicle With Partly Calibrated Time Modulated Arrays. IEEE Trans. Intell. Transp. Syst. 24(11): 12582-12596 (2023) - [j184]Jie Zheng, Ling Wang, Jingfang Chen, Zi-Xiao Pan, Donghui Li, Yile Liang, Xuetao Ding:
A Predictive-Reactive Optimization Framework With Feedback-Based Knowledge Distillation for On-Demand Food Delivery. IEEE Trans. Intell. Transp. Syst. 24(12): 14841-14857 (2023) - [j183]Tianming Zhao, Wei Li, Boyu Qin, Ling Wang, Albert Y. Zomaya:
Pulsed Power Load Coordination in Mission- and Time-critical Cyber-physical Systems. ACM Trans. Model. Perform. Evaluation Comput. Syst. 8(1-2): 1-27 (2023) - [j182]Jie Zheng, Ling Wang, Li Wang, Shengyao Wang, Jingfang Chen, Xing Wang:
Solving Stochastic Online Food Delivery Problem via Iterated Greedy Algorithm With Decomposition-Based Strategy. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 957-969 (2023) - [j181]Fuqing Zhao, Gang Zhou, Ling Wang:
A Cooperative Scatter Search With Reinforcement Learning Mechanism for the Distributed Permutation Flowshop Scheduling Problem With Sequence-Dependent Setup Times. IEEE Trans. Syst. Man Cybern. Syst. 53(8): 4899-4911 (2023) - [j180]Fuqing Zhao, Bo Zhu, Ling Wang:
An Estimation of Distribution Algorithm-Based Hyper-Heuristic for the Distributed Assembly Mixed No-Idle Permutation Flowshop Scheduling Problem. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5626-5637 (2023) - [j179]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) - [j178]Mao Tan, Yuling Ren, Rui Pan, Ling Wang, Jie Chen:
Fair and Efficient Electric Vehicle Charging Scheduling Optimization Considering the Maximum Individual Waiting Time and Operating Cost. IEEE Trans. Veh. Technol. 72(8): 9808-9820 (2023) - 2022
- [j177]Shuijia Li, Wenyin Gong, Ling Wang, Qiong Gu:
Multi-objective optimal power flow with stochastic wind and solar power. Appl. Soft Comput. 114: 108045 (2022) - [j176]Jing-jing Wang, Ling Wang:
A cooperative memetic algorithm with feedback for the energy-aware distributed flow-shops with flexible assembly scheduling. Comput. Ind. Eng. 168: 108126 (2022) - [j175]Jie Zheng, Ling Wang, Jingfang Chen, Xing Wang, Yile Liang, Haining Duan, Zixuan Li, Xuetao Ding:
Dynamic multi-objective balancing for online food delivery via fuzzy logic system-based supply-demand relationship identification. Comput. Ind. Eng. 172(Part): 108609 (2022) - [j174]Fuqing Zhao, Hui Zhang, Ling Wang, Ru Ma, Tianpeng Xu, Ningning Zhu, Jonrinaldi:
A surrogate-assisted Jaya algorithm based on optimal directional guidance and historical learning mechanism. Eng. Appl. Artif. Intell. 111: 104775 (2022) - [j173]Mao Tan, Chenglin Hu, Jie Chen, Ling Wang, Zhengmao Li:
Multi-node load forecasting based on multi-task learning with modal feature extraction. Eng. Appl. Artif. Intell. 112: 104856 (2022) - [j172]Fuqing Zhao, Shilu Di, Ling Wang, Tianpeng Xu, Ningning Zhu, Jonrinaldi:
A self-learning hyper-heuristic for the distributed assembly blocking flow shop scheduling problem with total flowtime criterion. Eng. Appl. Artif. Intell. 116: 105418 (2022) - [j171]Fuqing Zhao, Haizhu Bao, Ling Wang, Tianpeng Xu, Ningning Zhu, Jonrinaldi:
A heuristic and meta-heuristic based on problem-specific knowledge for distributed blocking flow-shop scheduling problem with sequence-dependent setup times. Eng. Appl. Artif. Intell. 116: 105443 (2022) - [j170]Zi-Qi Zhang, Rong Hu, Bin Qian, Huai-Ping Jin, Ling Wang, Jian-Bo Yang:
A matrix cube-based estimation of distribution algorithm for the energy-efficient distributed assembly permutation flow-shop scheduling problem. Expert Syst. Appl. 194: 116484 (2022) - [j169]Jun Dong, Wenyin Gong, Fei Ming, Ling Wang:
A two-stage evolutionary algorithm based on three indicators for constrained multi-objective optimization. Expert Syst. Appl. 195: 116499 (2022) - [j168]Ningning Zhu, Fuqing Zhao, Ling Wang, Ruiqing Ding, Tianpeng Xu, Jonrinaldi:
A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows. Expert Syst. Appl. 198: 116921 (2022) - [j167]Fuqing Zhao, Gang Zhou, Ling Wang, Tianpeng Xu, Ningning Zhu, Jonrinaldi:
A two-stage cooperative scatter search algorithm with multi-population hierarchical learning mechanism. Expert Syst. Appl. 203: 117444 (2022) - [j166]Zi-Qi Zhang, Bin Qian, Rong Hu, Huai-Ping Jin, Ling Wang, Jian-Bo Yang:
A matrix-cube-based estimation of distribution algorithm for blocking flow-shop scheduling problem with sequence-dependent setup times. Expert Syst. Appl. 205: 117602 (2022) - [j165]Xiaoyan Liu, Gai-Ge Wang, Ling Wang:
LSFQPSO: quantum particle swarm optimization with optimal guided Lévy flight and straight flight for solving optimization problems. Eng. Comput. 38(5): 4651-4682 (2022) - [j164]Aijuan Song, Guohua Wu, Witold Pedrycz, Ling Wang:
Integrating Variable Reduction Strategy With Evolutionary Algorithms for Solving Nonlinear Equations Systems. IEEE CAA J. Autom. Sinica 9(1): 75-89 (2022) - [j163]Biao Xu, Dunwei Gong, Yong Zhang, Shengxiang Yang, Ling Wang, Zhun Fan, Yonggang Zhang:
Cooperative co-evolutionary algorithm for multi-objective optimization problems with changing decision variables. Inf. Sci. 607: 278-296 (2022) - [j162]Fuqing Zhao, Xiaotong Hu, Ling Wang, Jinlong Zhao, Jianxin Tang, Jonrinaldi:
A reinforcement learning brain storm optimization algorithm (BSO) with learning mechanism. Knowl. Based Syst. 235: 107645 (2022) - [j161]Kai Wang, Wenyin Gong, Libao Deng, Ling Wang:
Multimodal optimization via dynamically hybrid niching differential evolution. Knowl. Based Syst. 238: 107972 (2022) - [j160]Wen-Qiang Zou, Quan-Ke Pan, Ling Wang, Zhong-Hua Miao, Chen Peng:
Efficient multiobjective optimization for an AGV energy-efficient scheduling problem with release time. Knowl. Based Syst. 242: 108334 (2022) - [j159]Fuqing Zhao, Dongqu Shao, Ling Wang, Tianpeng Xu, Ningning Zhu, Jonrinaldi:
An effective water wave optimization algorithm with problem-specific knowledge for the distributed assembly blocking flow-shop scheduling problem. Knowl. Based Syst. 243: 108471 (2022) - [j158]Fuqing Zhao, Haizhu Bao, Ling Wang, Jie Cao, Jianxin Tang, Jonrinaldi:
A multipopulation cooperative coevolutionary whale optimization algorithm with a two-stage orthogonal learning mechanism. Knowl. Based Syst. 246: 108664 (2022) - [j157]Wei Li, Wenyin Gong, Fei Ming, Ling Wang:
Constrained multi-objective evolutionary algorithm with an improved two-archive strategy. Knowl. Based Syst. 246: 108732 (2022) - [j156]Huangke Chen, Xin Zhang, Ling Wang, Lining Xing, Witold Pedrycz:
Resource-constrained self-organized optimization for near-real-time offloading satellite earth observation big data. Knowl. Based Syst. 253: 109496 (2022) - [j155]Chengyu Hu, Rui Qiao, Wenyin Gong, Xuesong Yan, Ling Wang:
A novelty-search-based evolutionary reinforcement learning algorithm for continuous optimization problems. Memetic Comput. 14(4): 451-460 (2022) - [j154]Fuqing Zhao, Haizhu Bao, Ling Wang, Xuan He, Jonrinaldi:
A hybrid cooperative differential evolution assisted by CMA-ES with local search mechanism. Neural Comput. Appl. 34(9): 7173-7197 (2022) - [j153]Fei Ming, Wenyin Gong, Ling Wang, Chao Lu:
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems. Swarm Evol. Comput. 70: 101055 (2022) - [j152]Huixiang Zhen, Wenyin Gong, Ling Wang:
Offline data-driven evolutionary optimization based on model selection. Swarm Evol. Comput. 71: 101080 (2022) - [j151]Jinming Liu, Lining Xing, Ling Wang, Yonghao Du, Jungang Yan, Yingguo Chen:
A data-driven parallel adaptive large neighborhood search algorithm for a large-scale inter-satellite link scheduling problem. Swarm Evol. Comput. 74: 101124 (2022) - [j150]Rui Li, Wenyin Gong, Ling Wang, Chao Lu, Shuning Jiang:
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time. Swarm Evol. Comput. 74: 101139 (2022) - [j149]Fuqing Zhao, Bo Zhu, Ling Wang, Tianpeng Xu, Ningning Zhu, Jonrinaldi:
An offline learning co-evolutionary algorithm with problem-specific knowledge. Swarm Evol. Comput. 75: 101148 (2022) - [j148]Zi-Xiao Pan, Deming Lei, Ling Wang:
A Knowledge-Based Two-Population Optimization Algorithm for Distributed Energy-Efficient Parallel Machines Scheduling. IEEE Trans. Cybern. 52(6): 5051-5063 (2022) - [j147]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) - [j146]Juan Li, Bin Xin, Jie Chen, Ling Wang:
S-CoEA: Subproblems Co-Solving Evolutionary Algorithm for Uncertain Optimization. IEEE Trans. Cybern. 52(10): 10123-10136 (2022) - [j145]Fuqing Zhao, Ru Ma, Ling Wang:
A Self-Learning Discrete Jaya Algorithm for Multiobjective Energy-Efficient Distributed No-Idle Flow-Shop Scheduling Problem in Heterogeneous Factory System. IEEE Trans. Cybern. 52(12): 12675-12686 (2022) - [j144]Kaiwen Li, Tao Zhang, Rui Wang, Yuheng Wang, Yi Han, Ling Wang:
Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems. IEEE Trans. Cybern. 52(12): 13142-13155 (2022) - [j143]Guanghui Zhang, Xuejiao Ma, Ling Wang, Keyi Xing:
Elite Archive-Assisted Adaptive Memetic Algorithm for a Realistic Hybrid Differentiation Flowshop Scheduling Problem. IEEE Trans. Evol. Comput. 26(1): 100-114 (2022) - [j142]Jing-Jing Wang, Ling Wang:
A Cooperative Memetic Algorithm With Learning-Based Agent for Energy-Aware Distributed Hybrid Flow-Shop Scheduling. IEEE Trans. Evol. Comput. 26(3): 461-475 (2022) - [j141]Guohua Wu, Xupeng Wen, Ling Wang, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques. IEEE Trans. Evol. Comput. 26(4): 646-660 (2022) - [j140]Kaiwen Li, Tao Zhang, Rui Wang, Ling Wang, Hisao Ishibuchi:
An Evolutionary Multiobjective Knee-Based Lower Upper Bound Estimation Method for Wind Speed Interval Forecast. IEEE Trans. Evol. Comput. 26(5): 1030-1042 (2022) - [j139]Guanghui Zhang, Bo Liu, Ling Wang, Dengxiu Yu, Keyi Xing:
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem. IEEE Trans. Evol. Comput. 26(5): 1043-1057 (2022) - [j138]Qizhang Luo, Guohua Wu, Bin Ji, Ling Wang, Ponnuthurai Nagaratnam Suganthan:
Hybrid Multi-Objective Optimization Approach With Pareto Local Search for Collaborative Truck-Drone Routing Problems Considering Flexible Time Windows. IEEE Trans. Intell. Transp. Syst. 23(8): 13011-13025 (2022) - [j137]Jingfang Chen, Ling Wang, Hao Ren, Jize Pan, Shengyao Wang, Jie Zheng, Xing Wang:
An Imitation Learning-Enhanced Iterated Matching Algorithm for On-Demand Food Delivery. IEEE Trans. Intell. Transp. Syst. 23(10): 18603-18619 (2022) - [j136]Yongming He, Lining Xing, Yingwu Chen, Witold Pedrycz, Ling Wang, Guohua Wu:
A Generic Markov Decision Process Model and Reinforcement Learning Method for Scheduling Agile Earth Observation Satellites. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1463-1474 (2022) - [j135]Jiao Liu, Yong Wang, Bin Xin, Ling Wang:
A Biobjective Perspective for Mixed-Integer Programming. IEEE Trans. Syst. Man Cybern. Syst. 52(4): 2374-2385 (2022) - [j134]Zi-Xiao Pan, Deming Lei, Ling Wang:
A Bi-Population Evolutionary Algorithm With Feedback for Energy-Efficient Fuzzy Flexible Job Shop Scheduling. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5295-5307 (2022) - [j133]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) - [j132]Fei Ming, Wenyin Gong, Ling Wang:
A Two-Stage Evolutionary Algorithm With Balanced Convergence and Diversity for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6222-6234 (2022) - [j131]Guanghui Zhang, Ling Wang, Keyi Xing:
Dual-Space Co-Evolutionary Memetic Algorithm for Scheduling Hybrid Differentiation Flowshop With Limited Buffer Constraints. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 6822-6836 (2022) - [j130]Kai Wang, Wenyin Gong, Zuowen Liao, Ling Wang:
Hybrid Niching-Based Differential Evolution With Two Archives for Nonlinear Equation System. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7469-7481 (2022) - 2021
- [j129]Jianye Wu, Wenyin Gong, Ling Wang:
A clustering-based differential evolution with different crowding factors for nonlinear equations system. Appl. Soft Comput. 98: 106733 (2021) - [j128]Fuqing Zhao, Jinlong Zhao, Ling Wang, Jianxin Tang:
An optimal block knowledge driven backtracking search algorithm for distributed assembly No-wait flow shop scheduling problem. Appl. Soft Comput. 112: 107750 (2021) - [j127]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) - [j126]Xing Wang, Ling Wang, Shengyao Wang, Jing-Fang Chen, Chuge Wu:
An XGBoost-enhanced fast constructive algorithm for food delivery route planning problem. Comput. Ind. Eng. 152: 107029 (2021) - [j125]Shang Xiang, Ling Wang, Lining Xing, Yonghao Du, Zhongqingyang Zhang:
Knowledge-based memetic algorithm for joint task planning of multi-platform earth observation system. Comput. Ind. Eng. 160: 107559 (2021) - [j124]Teng Ren, Hong-Bo Xu, Kang-ning Jin, Tian-yu Luo, Ling Wang, Lining Xing:
Optimisation of takeaway delivery routes considering the mutual satisfactions of merchants and customers. Comput. Ind. Eng. 162: 107728 (2021) - [j123]Ling Wang, Jing-jing Wang, Enda Jiang:
Decomposition based multiobjective evolutionary algorithm with adaptive resource allocation for energy-aware welding shop scheduling problem. Comput. Ind. Eng. 162: 107778 (2021) - [j122]Wenyin Gong, Zuowen Liao, Xianyan Mi, Ling Wang, Yuanyuan Guo:
Nonlinear Equations Solving with Intelligent Optimization Algorithms: A Survey. Complex Syst. Model. Simul. 1(1): 15-32 (2021) - [j121]Ling Wang, Zixiao Pan, Jingjing Wang:
A Review of Reinforcement Learning Based Intelligent Optimization for Manufacturing Scheduling. Complex Syst. Model. Simul. 1(4): 257-270 (2021) - [j120]Fuqing Zhao, Jinlong Zhao, Ling Wang, Jie Cao, Jianxin Tang:
A hierarchical knowledge guided backtracking search algorithm with self-learning strategy. Eng. Appl. Artif. Intell. 102: 104268 (2021) - [j119]Fuqing Zhao, Ruiqing Ding, Ling Wang, Jie Cao, Jianxin Tang:
A hierarchical guidance strategy assisted fruit fly optimization algorithm with cooperative learning mechanism. Expert Syst. Appl. 183: 115342 (2021) - [j118]Chuge Wu, Wei Li, Ling Wang, Albert Y. Zomaya:
An evolutionary fuzzy scheduler for multi-objective resource allocation in fog computing. Future Gener. Comput. Syst. 117: 498-509 (2021) - [j117]Yonghao Du, Ling Wang, Lining Xing, Jungang Yan, Mengsi Cai:
Data-Driven Heuristic Assisted Memetic Algorithm for Efficient Inter-Satellite Link Scheduling in the BeiDou Navigation Satellite System. IEEE CAA J. Autom. Sinica 8(11): 1800-1816 (2021) - [j116]Shang Xiang, Lining Xing, Ling Wang, Yongquan Zhou, Guansheng Peng:
Enhanced pigeon inspired optimisation approach for Agile Earth observation satellite scheduling. Int. J. Bio Inspired Comput. 17(3): 131-141 (2021) - [j115]Rui Wang, Wubin Ma, Mao Tan, Guohua Wu, Ling Wang, Dunwei Gong, Jian Xiong:
Preference-inspired coevolutionary algorithm with active diversity strategy for multi-objective multi-modal optimization. Inf. Sci. 546: 1148-1165 (2021) - [j114]Wen-Qiang Zou, Quan-Ke Pan, Ling Wang:
An effective multi-objective evolutionary algorithm for solving the AGV scheduling problem with pickup and delivery. Knowl. Based Syst. 218: 106881 (2021) - [j113]Chuge Wu, Ling Wang, Jing-jing Wang:
A path relinking enhanced estimation of distribution algorithm for direct acyclic graph task scheduling problem. Knowl. Based Syst. 228: 107255 (2021) - [j112]Fei Ming, Wenyin Gong, Huixiang Zhen, Shuijia Li, Ling Wang, Zuowen Liao:
A simple two-stage evolutionary algorithm for constrained multi-objective optimization. Knowl. Based Syst. 228: 107263 (2021) - [j111]Ling Wang, Liang Feng:
Guest Editorial: Special issue on memetic algorithms with learning strategy. Memetic Comput. 13(2): 147-148 (2021) - [j110]Shang Xiang, Ling Wang, Lining Xing, Yonghao Du:
An effective memetic algorithm for UAV routing and orientation under uncertain navigation environments. Memetic Comput. 13(2): 169-183 (2021) - [j109]Zi-Qi Zhang, Bin Qian, Rong Hu, Huai-Ping Jin, Ling Wang:
A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem. Swarm Evol. Comput. 60: 100785 (2021) - [j108]Rui Wang, Nan-Jiang Dong, Dun-Wei Gong, Zhongbao Zhou, Shi Cheng, Guohua Wu, Ling Wang:
PCA-assisted reproduction for continuous multi-objective optimization with complicated Pareto optimal set. Swarm Evol. Comput. 60: 100795 (2021) - [j107]Xiuli Wu, Qi Yuan, Ling Wang:
Multiobjective Differential Evolution Algorithm for Solving Robotic Cell Scheduling Problem With Batch-Processing Machines. IEEE Trans Autom. Sci. Eng. 18(2): 757-775 (2021) - [j106]Benlian Xu, Jian Shi, Mingli Lu, Jinliang Cong, Ling Wang, Brett Nener:
An Automated Cell Tracking Approach With Multi-Bernoulli Filtering and Ant Colony Labor Division. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1850-1863 (2021) - [j105]Chuge Wu, Wei Li, Ling Wang, Albert Y. Zomaya:
Hybrid Evolutionary Scheduling for Energy-Efficient Fog-Enhanced Internet of Things. IEEE Trans. Cloud Comput. 9(2): 641-653 (2021) - [j104]Shengchao Zhou, Lining Xing, Xu Zheng, Ni Du, Ling Wang, Qingfu Zhang:
A Self-Adaptive Differential Evolution Algorithm for Scheduling a Single Batch-Processing Machine With Arbitrary Job Sizes and Release Times. IEEE Trans. Cybern. 51(3): 1430-1442 (2021) - [j103]Fuqing Zhao, Xuan He, Ling Wang:
A Two-Stage Cooperative Evolutionary Algorithm With Problem-Specific Knowledge for Energy-Efficient Scheduling of No-Wait Flow-Shop Problem. IEEE Trans. Cybern. 51(11): 5291-5303 (2021) - [j102]Jing-jing Wang, Ling Wang:
A Bi-Population Cooperative Memetic Algorithm for Distributed Hybrid Flow-Shop Scheduling. IEEE Trans. Emerg. Top. Comput. Intell. 5(6): 947-961 (2021) - [j101]Min Deng, Baoju Liu, Sumin Li, Ronghua Du, Guohua Wu, Haifeng Li, Ling Wang:
A Two-Phase Coordinated Planning Approach for Heterogeneous Earth-Observation Resources to Monitor Area Targets. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 6388-6403 (2021) - 2020
- [j100]Fuqing Zhao, Lexi Zhao, Ling Wang, Houbin Song:
A collaborative LSHADE algorithm with comprehensive learning mechanism. Appl. Soft Comput. 96: 106609 (2020) - [j99]Bin-qi Sun, Ling Wang, Zhiping Peng:
Bound-guided hybrid estimation of distribution algorithm for energy-efficient robotic assembly line balancing. Comput. Ind. Eng. 146: 106604 (2020) - [j98]Zuowen Liao, Wenyin Gong, Ling Wang:
Memetic niching-based evolutionary algorithms for solving nonlinear equation system. Expert Syst. Appl. 149: 113261 (2020) - [j97]Danyu Bai, Hanyu Xue, Ling Wang, Chin-Chia Wu, Win-Chin Lin, Danladi H. Abdulkadir:
Effective algorithms for single-machine learning-effect scheduling to minimize completion-time-based criteria with release dates. Expert Syst. Appl. 156: 113445 (2020) - [j96]Fuqing Zhao, Lexi Zhao, Ling Wang, Houbin Song:
An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion. Expert Syst. Appl. 160: 113678 (2020) - [j95]Sai Lu, Bin Xin, Lihua Dou, Ling Wang:
A comparative study on evolutionary algorithms for the agent routing problem in multi-point dynamic task. Int. J. Autom. Control. 14(5/6): 571-592 (2020) - [j94]Jiao-Hong Yi, Lining Xing, Gai-Ge Wang, Junyu Dong, Athanasios V. Vasilakos, Amir Hossein Alavi, Ling Wang:
Behavior of crossover operators in NSGA-III for large-scale optimization problems. Inf. Sci. 509: 470-487 (2020) - [j93]Chengyu Hu, Liguo Dai, Xuesong Yan, Wenyin Gong, Xiaobo Liu, Ling Wang:
Modified NSGA-III for sensor placement in water distribution system. Inf. Sci. 509: 488-500 (2020) - [j92]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) - [j91]Zuowen Liao, Wenyin Gong, Ling Wang, Xuesong Yan, Chengyu Hu:
A decomposition-based differential evolution with reinitialization for nonlinear equations systems. Knowl. Based Syst. 191: 105312 (2020) - [j90]Jie Zheng, Ling Wang, Jing-jing Wang:
A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop. Knowl. Based Syst. 194: 105536 (2020) - [j89]Enda Jiang, Ling Wang:
Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices. Knowl. Based Syst. 204: 106177 (2020) - [j88]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) - [j87]Yuan Wang, Ling Wang, Guangcai Chen, Zhaoquan Cai, Yongquan Zhou, Lining Xing:
An Improved Ant Colony Optimization algorithm to the Periodic Vehicle Routing Problem with Time Window and Service Choice. Swarm Evol. Comput. 55: 100675 (2020) - [j86]Enda Jiang, Ling Wang, Zhiping Peng:
Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition. Swarm Evol. Comput. 58: 100745 (2020) - [j85]Jun-Qing Li, Mei-xian Song, Ling Wang, Pei-Yong Duan, Yu-Yan Han, Hong-yan Sang, Quan-Ke Pan:
Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs. IEEE Trans. Cybern. 50(6): 2425-2439 (2020) - [j84]Huangke Chen, Ye Tian, Witold Pedrycz, Guohua Wu, Rui Wang, Ling Wang:
Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems. IEEE Trans. Cybern. 50(7): 3367-3380 (2020) - [j83]Miao Rong, Dunwei Gong, Witold Pedrycz, Ling Wang:
A Multimodel Prediction Method for Dynamic Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 24(2): 290-304 (2020) - [j82]Yonghao Du, Tao Wang, Bin Xin, Ling Wang, Yingguo Chen, Lining Xing:
A Data-Driven Parallel Scheduling Approach for Multiple Agile Earth Observation Satellites. IEEE Trans. Evol. Comput. 24(4): 679-693 (2020) - [j81]Qunfeng Liu, William V. Gehrlein, Ling Wang, Yuan Yan, Yingying Cao, Wei Chen, Yun Li:
Paradoxes in Numerical Comparison of Optimization Algorithms. IEEE Trans. Evol. Comput. 24(4): 777-791 (2020) - [j80]Fei Chang, Mingyu Dong, Min Liu, Ling Wang, Yunqiang Duan:
A Lightweight Appearance Quality Assessment System Based on Parallel Deep Learning for Painted Car Body. IEEE Trans. Instrum. Meas. 69(8): 5298-5307 (2020) - [j79]Wenyin Gong, Yong Wang, Zhihua Cai, Ling Wang:
Finding Multiple Roots of Nonlinear Equation Systems via a Repulsion-Based Adaptive Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. 50(4): 1499-1513 (2020) - [j78]Zuowen Liao, Wenyin Gong, Xuesong Yan, Ling Wang, Chengyu Hu:
Solving Nonlinear Equations System With Dynamic Repulsion-Based Evolutionary Algorithms. IEEE Trans. Syst. Man Cybern. Syst. 50(4): 1590-1601 (2020) - [j77]Jing-Jing Wang, Ling Wang:
A Knowledge-Based Cooperative Algorithm for Energy-Efficient Scheduling of Distributed Flow-Shop. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1805-1819 (2020) - 2019
- [j76]Bin-qi Sun, Ling Wang:
A decomposition-based matheuristic for supply chain network design with assembly line balancing. Comput. Ind. Eng. 131: 408-417 (2019) - [j75]Shang Xiang, Lining Xing, Ling Wang, Kai Zou:
Comprehensive learning pigeon-inspired optimization with tabu list. Sci. China Inf. Sci. 62(7): 70208:1-70208:3 (2019) - [j74]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) - [j73]Ling Wang, Jiawen Lu:
A memetic algorithm with competition for the capacitated green vehicle routing problem. IEEE CAA J. Autom. Sinica 6(2): 516-526 (2019) - [j72]Enda Jiang, Ling Wang:
An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time. Int. J. Prod. Res. 57(6): 1756-1771 (2019) - [j71]Jing-Jing Wang, Ling Wang:
Decoding methods for the flow shop scheduling with peak power consumption constraints. Int. J. Prod. Res. 57(10): 3200-3218 (2019) - [j70]Jiawei Zhang, Ling Wang, Lining Xing:
Large-scale medical examination scheduling technology based on intelligent optimization. J. Comb. Optim. 37(1): 385-404 (2019) - [j69]Wei He, Wenyin Gong, Ling Wang, Xuesong Yan, Chengyu Hu:
Fuzzy neighborhood-based differential evolution with orientation for nonlinear equation systems. Knowl. Based Syst. 182 (2019) - [j68]Tao Meng, Quan-Ke Pan, Ling Wang:
A distributed permutation flowshop scheduling problem with the customer order constraint. Knowl. Based Syst. 184 (2019) - [j67]Xuesong Yan, Zhixin Zhu, Qinghua Wu, Wenyin Gong, Ling Wang:
Elastic parameter inversion problem based on brain storm optimization algorithm. Memetic Comput. 11(2): 143-153 (2019) - [j66]Ling Wang, Guohua Wu, Liang Gao:
Thematic issue on "advanced intelligent scheduling algorithms for smart manufacturing systems". Memetic Comput. 11(4): 333-334 (2019) - [j65]Jing-Fang Chen, Ling Wang, Zhiping Peng:
A collaborative optimization algorithm for energy-efficient multi-objective distributed no-idle flow-shop scheduling. Swarm Evol. Comput. 50 (2019) - [j64]Yuan Wang, Ling Wang, Zhiping Peng, Guangcai Chen, Zhaoquan Cai, Lining Xing:
A Multi Ant System based hybrid heuristic algorithm for Vehicle Routing Problem with Service Time Customization. Swarm Evol. Comput. 50 (2019) - [j63]De-Ming Lei, Ming Li, Ling Wang:
A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold. IEEE Trans. Cybern. 49(3): 1097-1109 (2019) - 2018
- [j62]Yanhong Feng, Gai-Ge Wang, Junyu Dong, Ling Wang:
Opposition-based learning monarch butterfly optimization with Gaussian perturbation for large-scale 0-1 knapsack problem. Comput. Electr. Eng. 67: 454-468 (2018) - [j61]Yanhong Feng, Gai-Ge Wang, Ling Wang:
Solving randomized time-varying knapsack problems by a novel global firefly algorithm. Eng. Comput. 34(3): 621-635 (2018) - [j60]Rui Wang, Shiming Lai, Guohua Wu, Lining Xing, Ling Wang, Hisao Ishibuchi:
Multi-clustering via evolutionary multi-objective optimization. Inf. Sci. 450: 128-140 (2018) - [j59]Chuge Wu, Ling Wang:
A multi-model estimation of distribution algorithm for energy efficient scheduling under cloud computing system. J. Parallel Distributed Comput. 117: 63-72 (2018) - [j58]Ling Wang, Xiaolong Zheng:
A knowledge-guided multi-objective fruit fly optimization algorithm for the multi-skill resource constrained project scheduling problem. Swarm Evol. Comput. 38: 54-63 (2018) - [j57]Xiaolong Zheng, Ling Wang:
A Collaborative Multiobjective Fruit Fly Optimization Algorithm for the Resource Constrained Unrelated Parallel Machine Green Scheduling Problem. IEEE Trans. Syst. Man Cybern. Syst. 48(5): 790-800 (2018) - 2017
- [j56]Guohua Wu, Huilin Wang, Witold Pedrycz, Haifeng Li, Ling Wang:
Satellite observation scheduling with a novel adaptive simulated annealing algorithm and a dynamic task clustering strategy. Comput. Ind. Eng. 113: 576-588 (2017) - [j55]Huan-yu Zheng, Ling Wang, Xiaolong Zheng:
Teaching-learning-based optimization algorithm for multi-skill resource constrained project scheduling problem. Soft Comput. 21(6): 1537-1548 (2017) - [j54]Jin Deng, Ling Wang:
A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem. Swarm Evol. Comput. 32: 121-131 (2017) - 2016
- [j53]Xiaolong Zheng, Ling Wang:
A two-stage adaptive fruit fly optimization algorithm for unrelated parallel machine scheduling problem with additional resource constraints. Expert Syst. Appl. 65: 28-39 (2016) - [j52]Shengyao Wang, Ling Wang:
An Estimation of Distribution Algorithm-Based Memetic Algorithm for the Distributed Assembly Permutation Flow-Shop Scheduling Problem. IEEE Trans. Syst. Man Cybern. Syst. 46(1): 139-149 (2016) - 2015
- [j51]Xiaolong Zheng, Ling Wang:
A multi-agent optimization algorithm for resource constrained project scheduling problem. Expert Syst. Appl. 42(15-16): 6039-6049 (2015) - [j50]Shengyao Wang, Ling Wang, Min Liu, Ye Xu:
An order-based estimation of distribution algorithm for stochastic hybrid flow-shop scheduling problem. Int. J. Comput. Integr. Manuf. 28(3): 307-320 (2015) - [j49]Kang Li, Seán F. McLoone, Ling Wang:
Intelligent Computing for Sustainable Energy and Environment (ICSEE 2012). Neurocomputing 148: 198-199 (2015) - [j48]Ye Xu, Ling Wang, Shengyao Wang, Min Liu:
An effective teaching-learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time. Neurocomputing 148: 260-268 (2015) - [j47]Hesuan Hu, Ling Wang, Peter B. Luh:
Intelligent manufacturing: New advances and challenges. J. Intell. Manuf. 26(5): 841-843 (2015) - [j46]Shengyao Wang, Ling Wang, Min Liu, Ye Xu:
A hybrid estimation of distribution algorithm for the semiconductor final testing scheduling problem. J. Intell. Manuf. 26(5): 861-871 (2015) - [j45]Jing-nan Shen, Ling Wang, Shengyao Wang:
A bi-population EDA for solving the no-idle permutation flow-shop scheduling problem with the total tardiness criterion. Knowl. Based Syst. 74: 167-175 (2015) - [j44]Shengyao Wang, Ling Wang:
A knowledge-based multi-agent evolutionary algorithm for semiconductor final testing scheduling problem. Knowl. Based Syst. 84: 1-9 (2015) - 2014
- [j43]Ling Wang, Chen Fang, Ponnuthurai Nagaratnam Suganthan, Min Liu:
Solving system-level synthesis problem by a multi-objective estimation of distribution algorithm. Expert Syst. Appl. 41(5): 2496-2513 (2014) - [j42]Xiaolong Zheng, Ling Wang, Shengyao Wang:
A novel fruit fly optimization algorithm for the semiconductor final testing scheduling problem. Knowl. Based Syst. 57: 95-103 (2014) - 2013
- [j41]Ling Wang, Xiaolong Zheng, Shengyao Wang:
A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem. Knowl. Based Syst. 48: 17-23 (2013) - [j40]Quan-Ke Pan, Ling Wang, Kun Mao, Jin-Hui Zhao, Min Zhang:
An Effective Artificial Bee Colony Algorithm for a Real-World Hybrid Flowshop Problem in Steelmaking Process. IEEE Trans Autom. Sci. Eng. 10(2): 307-322 (2013) - [j39]Quan-Ke Pan, Ling Wang, Hong-yan Sang, Junqing Li, Min Liu:
A High Performing Memetic Algorithm for the Flowshop Scheduling Problem With Blocking. IEEE Trans Autom. Sci. Eng. 10(3): 741-756 (2013) - [j38]Ling Wang, Chen Fang, Chundi Mu, Min Liu:
A Pareto-Archived Estimation-of-Distribution Algorithm for Multiobjective Resource-Constrained Project Scheduling Problem. IEEE Trans. Engineering Management 60(3): 617-626 (2013) - 2012
- [j37]Ling Wang, Shengyao Wang, Ye Xu, Gang Zhou, Min Liu:
A bi-population based estimation of distribution algorithm for the flexible job-shop scheduling problem. Comput. Ind. Eng. 62(4): 917-926 (2012) - [j36]Ling Wang, Chen Fang:
An effective estimation of distribution algorithm for the multi-mode resource-constrained project scheduling problem. Comput. Oper. Res. 39(2): 449-460 (2012) - [j35]Chen Fang, Ling Wang:
An effective shuffled frog-leaping algorithm for resource-constrained project scheduling problem. Comput. Oper. Res. 39(5): 890-901 (2012) - [j34]Ling Wang, Chen Fang:
A hybrid estimation of distribution algorithm for solving the resource-constrained project scheduling problem. Expert Syst. Appl. 39(3): 2451-2460 (2012) - [j33]Ling Wang, Xiang Zhong, Min Liu:
A novel group search optimizer for multi-objective optimization. Expert Syst. Appl. 39(3): 2939-2946 (2012) - [j32]Ling Wang, Lingpo Li:
A coevolutionary differential evolution with harmony search for reliability-redundancy optimization. Expert Syst. Appl. 39(5): 5271-5278 (2012) - [j31]Ling Wang, Shengyao Wang, Ye Xu:
An effective hybrid EDA-based algorithm for solving multidimensional knapsack problem. Expert Syst. Appl. 39(5): 5593-5599 (2012) - 2011
- [j30]Bo Liu, Ling Wang, Ying Liu, Shouyang Wang:
A unified framework for population-based metaheuristics. Ann. Oper. Res. 186(1): 231-262 (2011) - [j29]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) - [j28]Ling Wang, Quan-Ke Pan, Mehmet Fatih Tasgetiren:
A hybrid harmony search algorithm for the blocking permutation flow shop scheduling problem. Comput. Ind. Eng. 61(1): 76-83 (2011) - [j27]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) - [j26]Ling Wang, Ye Xu, Lingpo Li:
Parameter identification of chaotic systems by hybrid Nelder-Mead simplex search and differential evolution algorithm. Expert Syst. Appl. 38(4): 3238-3245 (2011) - [j25]Ling Wang, Ye Xu:
An effective hybrid biogeography-based optimization algorithm for parameter estimation of chaotic systems. Expert Syst. Appl. 38(12): 15103-15109 (2011) - [j24]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) - [j23]Ling Wang, Chen Fang:
An effective shuffled frog-leaping algorithm for multi-mode resource-constrained project scheduling problem. Inf. Sci. 181(20): 4804-4822 (2011) - [j22]Ling Wang, Lingpo Li:
Fixed-Structure Hinfinity Controller Synthesis Based on Differential Evolution With Level Comparison. IEEE Trans. Evol. Comput. 15(1): 120-129 (2011) - 2010
- [j21]Ling Wang, Fuzhuo Huang:
Parameter analysis based on stochastic model for differential evolution algorithm. Appl. Math. Comput. 217(7): 3263-3273 (2010) - [j20]Bo Liu, Ling Wang, Ying Liu, Bin Qian, Yihui Jin:
An effective hybrid particle swarm optimization for batch scheduling of polypropylene processes. Comput. Chem. Eng. 34(4): 518-528 (2010) - [j19]Ling Wang, Quan-Ke Pan, Ponnuthurai N. Suganthan, Wenhong Wang, Ya-Min Wang:
A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems. Comput. Oper. Res. 37(3): 509-520 (2010) - [j18]Ling Wang, Lingpo Li:
An effective hybrid quantum-inspired evolutionary algorithm for parameter estimation of chaotic systems. Expert Syst. Appl. 37(2): 1279-1285 (2010) - [j17]Ling Wang, Quan-Ke Pan, Mehmet Fatih Tasgetiren:
Minimizing the total flow time in a flow shop with blocking by using hybrid harmony search algorithms. Expert Syst. Appl. 37(12): 7929-7936 (2010) - 2009
- [j16]Bin Qian, Ling Wang, Rong Hu, D. X. Huang, X. Wang:
A DE-based approach to no-wait flow-shop scheduling. Comput. Ind. Eng. 57(3): 787-805 (2009) - [j15]Bin Qian, Ling Wang, Dexian Huang, Wanliang Wang, Xiong Wang:
An effective hybrid DE-based algorithm for multi-objective flow shop scheduling with limited buffers. Comput. Oper. Res. 36(1): 209-233 (2009) - [j14]Quan-Ke Pan, Ling Wang, Bin Qian:
A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems. Comput. Oper. Res. 36(8): 2498-2511 (2009) - [j13]Bin Qian, Ling Wang, Dexian Huang, Xiong Wang:
Multi-objective no-wait flow-shop scheduling with a memetic algorithm based on differential evolution. Soft Comput. 13(8-9): 847-869 (2009) - 2008
- [j12]Bo Liu, Ling Wang, Yihui Jin:
An effective hybrid PSO-based algorithm for flow shop scheduling with limited buffers. Comput. Oper. Res. 35(9): 2791-2806 (2008) - [j11]Bin-Bin Li, Ling Wang, Bo Liu:
An Effective PSO-Based Hybrid Algorithm for Multiobjective Permutation Flow Shop Scheduling. IEEE Trans. Syst. Man Cybern. Part A 38(4): 818-831 (2008) - 2007
- [j10]Qie He, Ling Wang:
An effective co-evolutionary particle swarm optimization for constrained engineering design problems. Eng. Appl. Artif. Intell. 20(1): 89-99 (2007) - [j9]Ling-Lai Li, Dong-Hua Zhou, Ling Wang:
Fault diagnosis of nonlinear systems based on hybrid PSOSA optimization algorithm. Int. J. Autom. Comput. 4(2): 183-188 (2007) - [j8]Bo Liu, Ling Wang, Yihui Jin:
An Effective PSO-Based Memetic Algorithm for Flow Shop Scheduling. IEEE Trans. Syst. Man Cybern. Part B 37(1): 18-27 (2007) - 2006
- [j7]Hui Pan, Ling Wang, Bo Liu:
Particle swarm optimization for function optimization in noisy environment. Appl. Math. Comput. 181(2): 908-919 (2006) - [j6]Ling Wang, Liang Zhang, Da-Zhong Zheng:
An effective hybrid genetic algorithm for flow shop scheduling with limited buffers. Comput. Oper. Res. 33(10): 2960-2971 (2006) - 2005
- [j5]Ling Wang, Ling-Lai Li, Fang Tang:
Optimal reduction of models using a hybrid searching strategy. Appl. Math. Comput. 168(2): 1357-1369 (2005) - [j4]Ling Wang:
A hybrid genetic algorithm-neural network strategy for simulation optimization. Appl. Math. Comput. 170(2): 1329-1343 (2005) - [j3]Ling Wang, Fang Tang, Hao Wu:
Hybrid genetic algorithm based on quantum computing for numerical optimization and parameter estimation. Appl. Math. Comput. 171(2): 1141-1156 (2005) - 2002
- [j2]Tong Zhou, Ling Wang, Zhengshun Sun:
Closed-loop model set validation under a stochastic framework. Autom. 38(9): 1449-1461 (2002) - 2001
- [j1]Ling Wang, Da-Zhong Zheng:
An effective hybrid optimization strategy for job-shop scheduling problems. Comput. Oper. Res. 28(6): 585-596 (2001)
Conference and Workshop Papers
- 2024
- [c77]Yuexian Wang, Qianyuan Shi, Chuang Han, Ling Wang, Chintha Tellambura:
Sparse Bayesian Learning-Based Direct Localization for Distributed Sensor Arrays with Unknown Gain and Phase Errors. ICASSP 2024: 8761-8765 - 2021
- [c76]Zhiqi Chang, Jian-Ya Ding, Chao Zhang, Fan Dong, Haoyuan Hu, Tao Yao, Ling Wang:
Multipartite-Graph Representation for Transportation Planning in Express Delivery Network. CDC 2021: 3123-3129 - [c75]Zi-Xiao Pan, Ling Wang, Jing-Fang Chen, Yuting Wu:
A Novel Evolutionary Algorithm with Adaptation Mechanism for Fuzzy Permutation Flow-Shop Scheduling. CEC 2021: 367-374 - [c74]Xing Wang, Ling Wang, Shengyao Wang, Yang Yu, Jingfang Chen, Jie Zheng:
Solving Online Food Delivery Problem via an Effective Hybrid Algorithm with Intelligent Batching Strategy. ICIC (2) 2021: 340-354 - [c73]Nai-Kang Yu, Rong Hu, Bin Qian, Ling Wang:
An Improved Lagrangian Relaxation Algorithm for Solving the Lower Bound of Production Logistics. ICIC (1) 2021: 652-662 - [c72]Sen Zhang, Rong Hu, Bin Qian, Zi-Qi Zhang, Ling Wang:
Multidimensional Estimation of Distribution Algorithm for Distributed No-Wait Flow-Shop Scheduling Problem with Sequence-Independent Setup Times and Release Dates. ICIC (1) 2021: 663-672 - [c71]Nan Li, Rong Hu, Bin Qian, Nai-Kang Yu, Ling Wang:
Hybrid Grey Wolf Optimizer for Vehicle Routing Problem with Multiple Time Windows. ICIC (1) 2021: 684-693 - 2020
- [c70]Zeming Jin, Ling Wang, Hanhan Liu, Ronghua Du, Xiang Zhang:
Monocular-Based Pose Estimation of Non-Cooperative Space Targets Using EKF and EKPF. CISP-BMEI 2020: 46-51 - [c69]Jing-Fang Chen, Shengyao Wang, Ling Wang, Jie Zheng, Ying Cha, Jinghua Hao, Renqing He, Zhizhao Sun:
A Hybrid Differential Evolution Algorithm for the Online Meal Delivery Problem. CEC 2020: 1-8 - [c68]Xing Wang, Shengyao Wang, Ling Wang, Huan-yu Zheng, Jinghua Hao, Renqing He, Zhizhao Sun:
An Effective Iterated Greedy Algorithm for Online Route Planning Problem. CEC 2020: 1-8 - [c67]Jie Zheng, Shengyao Wang, Ling Wang, Jingfang Chen, Li Wang, Jinghua Hao, Renqing He, Zhizhao Sun:
A Two-stage Algorithm for Fuzzy Online Order Dispatching Problem. CEC 2020: 1-8 - [c66]Qingte Zhou, Huan-yu Zheng, Shengyao Wang, Jinghua Hao, Renqing He, Zhizhao Sun, Xing Wang, Ling Wang:
Two Fast Heuristics for Online Order Dispatching. CEC 2020: 1-8 - 2019
- [c65]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 - [c64]Jing-jing Wang, Ling Wang:
An Iterated Greedy Algorithm for Distributed Hybrid Flowshop Scheduling Problem with Total Tardiness Minimization. CASE 2019: 350-355 - [c63]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 - [c62]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 - [c61]Bin-qi Sun, Ling Wang:
Hybrid Evolutionary Algorithm for Integrated Supply Chain Network Design With Assembly Line Balancing. CASE 2019: 885-890 - [c60]Jingfang Chen, Ling Wang, Xiao He, Dexian Huang:
A Probability Model-based Memetic Algorithm for Distributed Heterogeneous Flow-Shop Scheduling. CEC 2019: 411-418 - [c59]Jiawen Lu, Ling Wang:
A Bi-Strategy Based Optimization Algorithm for the Dynamic Capacitated Electric Vehicle Routing Problem. CEC 2019: 646-653 - [c58]Chuge Wu, Ling Wang:
A Deadline-Aware Estimation of Distribution Algorithm for Resource Scheduling in Fog Computing Systems. CEC 2019: 660-666 - [c57]Zuowen Liao, Wenyin Gong, Zhihua Cai, Ling Wang, Yong Wang:
Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems. CEC 2019: 3118-3125 - [c56]Yongqun He, Edison Ong, Jennifer Schaub, Frederick Dowd, John F. O'Toole, Anastasios Siapos, Christian G. Reich, Sarah Seager, Ling Wang, Hong Yu, Jie Zheng, Christian J. Stoeckert Jr., Xiaolin Yang, Sheng Yang, Becky Steck, Christopher Park, Laura Barisoni, Matthias Kretzler, Jonathan Himmelfarb, Ravi Iyengar, Sean D. Mooney:
OPMI: the Ontology of Precision Medicine and Investigation and its Support for Clinical Data and Metadata Representation and Analysis. ICBO 2019: 1-10 - [c55]Ai Yang, Bin Qian, Rong Hu, Ling Wang, Shang-Han Li:
Single-Machine Green Scheduling Problem of Multi-speed Machine. ICIC (2) 2019: 669-677 - [c54]Yi-Fan Zheng, Rong Hu, Bin Qian, Ling Wang, Feng-Hong Xiang:
Hybrid Cross-entropy Algorithm for Mixed Model U-shaped Assembly Line Balancing Problem. ICIC (1) 2019: 676-685 - [c53]Hui-Min Gu, Rong Hu, Bin Qian, Huai-Ping Jin, Ling Wang:
Whale Optimization Algorithm with Local Search for Open Shop Scheduling Problem to Minimize Makespan. ICIC (2) 2019: 678-687 - [c52]Huikang Wang, Luzheng Bi, Weijie Fei, Ling Wang:
An EEG-Based Multi-Classification Method of Braking Intentions for Driver-Vehicle Interaction. RCAR 2019: 438-441 - 2018
- [c51]Mao Tan, Miqing Li, Ling Wang:
An Improved NSGA-II based Algorithm for Economical Hot Rolling Batch Scheduling under Time-sensitive Electricity Prices. CASE 2018: 962-967 - [c50]Nai-Kang Yu, Rong Hu, Bin Qian, Zi-Qi Zhang, Ling Wang:
Improved Sub-gradient Algorithm for Solving the Lower Bound of No-Wait Flow-Shop Scheduling with Sequence-Dependent Setup Times and Release Dates. ICIC (3) 2018: 93-101 - [c49]Xiaoyu Zhang, Rui Wang, Tao Zhang, Ling Wang, Yajie Liu, Yabing Zha:
Short-Term Load Forecasting Based on RBM and NARX Neural Network. ICIC (3) 2018: 193-203 - [c48]You-Jie Yao, Bin Qian, Rong Hu, Ling Wang, Feng-Hong Xiang:
Carbon-Efficient Scheduling of Blocking Flow Shop by Hybrid Quantum-Inspired Evolution Algorithm. ICIC (1) 2018: 606-617 - [c47]Qunfeng Liu, Wei Chen, Yingying Cao, Yun Li, Ling Wang:
Two Possible Paradoxes in Numerical Comparisons of Optimization Algorithms. ICIC (2) 2018: 681-692 - [c46]Rui Wang, Meng-jun Ming, Lining Xing, Wenyin Gong, Ling Wang:
Extremized PICEA-g for Nadir Point Estimation in Many-Objective Optimization. ICIC (3) 2018: 807-814 - [c45]Enda Jiang, Ling Wang:
A Modified MOEA/D for Energy-efficient Flexible Job Shop Scheduling Problem. IEEM 2018: 1476-1480 - 2017
- [c44]Chuge Wu, Ling Wang, Jingjing Wang:
A t-level driven search for estimation of distribution algorithm in solving task graph allocation to multiprocessors. CASE 2017: 630-635 - [c43]Biao Xu, Yong Zhang, Dun-Wei Gong, Ling Wang:
A parallel multi-objective cooperative co-evolutionary algorithm with changing variables. GECCO (Companion) 2017: 1888-1893 - [c42]Yilin Wang, Tongshuai Zhang, Hao Ye, Ling Wang:
A correlation-based bi-partition hierarchical clustering method for mode identification of multimode processes. SMC 2017: 1645-1650 - [c41]Fujian He, Luzheng Bi, Yun Lu, Hongqi Li, Ling Wang:
Model predictive control for a brain-controlled mobile robot. SMC 2017: 3184-3188 - [c40]Enda Jiang, Ling Wang, Jiawen Lu:
Modified multiobjective evolutionary algorithm based on decomposition for low-carbon scheduling of distributed permutation flow-shop. SSCI 2017: 1-7 - [c39]Jing-nan Shen, Ling Wang, Jingjing Wang:
A discrete teaching-learning-based optimisation algorithm for hybrid flowshop scheduling problem with peak power consumption constraints. SSCI 2017: 1-7 - [c38]Jingjing Wang, Ling Wang, Chuge Wu, Jing-nan Shen:
A Cooperative Algorithm for Energy-efficient Scheduling of Distributed No-wait Flowshop. SSCI 2017: 1-8 - 2016
- [c37]Jingjing Wang, Ling Wang, Jing-nan Shen:
A hybrid discrete cuckoo search for distributed permutation flowshop scheduling problem. CEC 2016: 2240-2246 - [c36]Chuge Wu, Ling Wang, Xiaolong Zheng:
An effective estimation of distribution algorithm for solving uniform parallel machine scheduling problem with precedence constraints. CEC 2016: 2626-2632 - [c35]Xiaolong Zheng, Ling Wang:
A Pareto based fruit fly optimization algorithm for task scheduling and resource allocation in cloud computing environment. CEC 2016: 3393-3400 - [c34]Jin Deng, Ling Wang, Chuge Wu, Jingjing Wang, Xiaolong Zheng:
A Competitive Memetic Algorithm for Carbon-Efficient Scheduling of Distributed Flow-Shop. ICIC (1) 2016: 476-488 - 2015
- [c33]Jin Deng, Ling Wang, Jingnan Shen, Xiaolong Zheng:
An Improved Harmony Search Algorithm for the Distributed Two Machine Flow-Shop Scheduling Problem. ICHSA 2015: 97-108 - [c32]Jingnan Shen, Ling Wang, Jin Deng, Xiaolong Zheng:
A Pareto-Based Discrete Harmony Search Algorithm for Bi-objective Reentrant Hybrid Flowshop Scheduling Problem. ICHSA 2015: 435-445 - 2014
- [c31]Jin Deng, Ling Wang, Shengyao Wang:
A competitive memetic algorithm for the distributed flow shop scheduling problem. CASE 2014: 107-112 - [c30]Shengyao Wang, Ling Wang:
Compact estimation of distribution algorithm for semiconductor final testing scheduling problem. CASE 2014: 113-118 - [c29]Huan-yu Zheng, Ling Wang, Shengyao Wang:
A co-evolutionary teaching-learning-based optimization algorithm for stochastic RCPSP. IEEE Congress on Evolutionary Computation 2014: 587-594 - [c28]Xiaolong Zheng, Ling Wang, Shengyao Wang:
An enhanced non-dominated sorting based fruit fly optimization algorithm for solving environmental economic dispatch problem. IEEE Congress on Evolutionary Computation 2014: 626-633 - [c27]Damla Kizilay, Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ling Wang:
An iterated greedy algorithm for the hybrid flowshop problem with makespan criterion. CIPLS 2014: 16-23 - [c26]Peng Zhang, Ling Wang:
Grouped Fruit-Fly Optimization Algorithm for the No-Wait Lot Streaming Flow Shop Scheduling. ICIC (2) 2014: 664-674 - [c25]Shengyao Wang, Ling Wang:
An Effective Estimation of Distribution Algorithm for Multi-track Train Scheduling Problem. ICIC (2) 2014: 697-708 - 2013
- [c24]Ye Xu, Ling Wang, Shengyao Wang:
An effective shuffled frog-leaping algorithm for the flexible job-shop scheduling problem. CICA 2013: 128-134 - [c23]Shengyao Wang, Ling Wang, Min Liu, Ye Xu:
An estimation of distribution algorithm for the multi-objective flexible job-shop scheduling problem. CISched 2013: 1-8 - 2011
- [c22]Gang Zhou, Ling Wang, Ye Xu, Shengyao Wang:
An Effective Artificial Bee Colony Algorithm for Multi-objective Flexible Job-Shop Scheduling Problem. ICIC (2) 2011: 1-8 - [c21]Shengyao Wang, Ling Wang, Gang Zhou, Ye Xu:
An Estimation of Distribution Algorithm for the Flexible Job-Shop Scheduling Problem. ICIC (2) 2011: 9-16 - [c20]Mehmet Fatih Tasgetiren, Quan-Ke Pan, Ling Wang, Angela Hsiang-Ling Chen:
A DE Based Variable Iterated Greedy Algorithm for the No-Idle Permutation Flowshop Scheduling Problem with Total Flowtime Criterion. ICIC (2) 2011: 83-90 - [c19]Ye Xu, Ling Wang, Gang Zhou, Shengyao Wang:
An Effective Shuffled Frog Leaping Algorithm for Solving Hybrid Flow-Shop Scheduling Problem. ICIC (1) 2011: 560-567 - [c18]Ling Wang, Ye Xu, Chen Fang:
A Hybrid Algorithm Based on Simplex Search and Differential Evolution for Resource-Constrained Project Scheduling Problem. ICIC (1) 2011: 568-575 - 2010
- [c17]Xingli Huang, Peifa Jia, Bo Liu, Ling Wang:
Control of Hénon chaotic systems by chaotic particle swarm optimization. IEEE ICCI 2010: 117-121 - [c16]Xingli Huang, Peifa Jia, Bo Liu, Ling Wang:
Chaotic particle swarm optimization for synchronization of finite dimensional Hénon dynamical system. ICNC 2010: 2600-2604 - 2009
- [c15]Lingpo Li, Ling Wang:
Hybrid algorithms based on harmony search and differential evolution for global optimization. GEC Summit 2009: 271-278 - [c14]Ye Xu, Ling Wang, Lingpo Li:
An Effective Hybrid Algorithm Based on Simplex Search and Differential Evolution for Global Optimization. ICIC (2) 2009: 341-350 - [c13]Lingpo Li, Ling Wang, Ye Xu:
Differential Evolution with Level Comparison for Constrained Optimization. ICIC (2) 2009: 351-360 - 2008
- [c12]Qie He, Ling Wang, Fuzhuo Huang:
Nonlinear constrained optimization by enhanced co-evolutionary PSO. IEEE Congress on Evolutionary Computation 2008: 83-89 - [c11]Rong Hu, Ling Wang, Bin Qian, Fuzhuo Huang:
Differential evolution method for stochastic flow shop scheduling with limited buffers. IEEE Congress on Evolutionary Computation 2008: 1295-1301 - 2007
- [c10]Bo Liu, Ling Wang, Yihui Jin, Dexian Huang:
Designing Neural Networks Using PSO-Based Memetic Algorithm. ISNN (3) 2007: 219-224 - [c9]Ying Liu, Bo Liu, Jikun Huang, Yunhua Wu, Ling Wang, Yihui Jin:
An Intelligent Differential Evolution Algorithm for Designing Trading-Ratio System of Water Market. ISNN (3) 2007: 1058-1066 - 2006
- [c8]Hui Pan, Ling Wang:
Blending Scheduling Under Uncertainty Based on Particle Swarm Optimization with Hypothesis Test. ICIC (3) 2006: 109-120 - [c7]Bin-Bin Li, Ling Wang:
A Hybrid Quantum-Inspired Genetic Algorithm for Multi-objective Scheduling. ICIC (1) 2006: 511-522 - [c6]Fuzhuo Huang, Ling Wang, Bo Liu:
Improved Differential Evolution with Dynamic Population Size. ICIC (1) 2006: 725-730 - 2005
- [c5]Bo Liu, Ling Wang, Yihui Jin:
Hybrid Particle Swarm Optimization for Flow Shop Scheduling with Stochastic Processing Time. CIS (1) 2005: 630-637 - [c4]Ling Wang, Hao Wu, Fang Tang, Da-Zhong Zheng:
A Hybrid Quantum-Inspired Genetic Algorithm for Flow Shop Scheduling. ICIC (2) 2005: 636-644 - [c3]Ling Wang, Hao Wu, Da-Zhong Zheng:
A Quantum-Inspired Genetic Algorithm for Scheduling Problems. ICNC (3) 2005: 417-423 - [c2]Bo Liu, Ling Wang, Yihui Jin, Dexian Huang:
Designing Neural Networks Using Hybrid Particle Swarm Optimization. ISNN (1) 2005: 391-397 - 2004
- [c1]Ling Wang, Fang Tang:
NN-Based GA for Engineering Optimization. ISNN (1) 2004: 448-453
Parts in Books or Collections
- 2008
- [p1]Ling Wang, Bin-Bin Li:
Quantum-inspired genetic algorithms for flow shop scheduling. Quantum Inspired Intelligent Systems 2008: 17-56
Editorship
- 2014
- [e2]De-Shuang Huang, Kang-Hyun Jo, Ling Wang:
Intelligent Computing Methodologies - 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings. Lecture Notes in Computer Science 8589, Springer 2014, ISBN 978-3-319-09338-3 [contents] - 2013
- [e1]De-Shuang Huang, Phalguni Gupta, Ling Wang, M. Michael Gromiha:
Emerging Intelligent Computing Technology and Applications - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings. Communications in Computer and Information Science 375, Springer 2013, ISBN 978-3-642-39677-9 [contents]
Informal and Other Publications
- 2024
- [i5]Fei Ming, Wenyin Gong, Ling Wang, Yaochu Jin:
Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection. CoRR abs/2402.12381 (2024) - 2022
- [i4]Kaiwen Li, Tao Zhang, Rui Wang, Ling Wang:
Deep Reinforcement Learning for Online Routing of Unmanned Aerial Vehicles with Wireless Power Transfer. CoRR abs/2204.11477 (2022) - [i3]Wenhua Li, Shengjun Huang, Tao Zhang, Rui Wang, Ling Wang:
Large-scale matrix optimization based multi microgrid topology design with a constrained differential evolution algorithm. CoRR abs/2207.08327 (2022) - [i2]Wenhua Li, Xingyi Yao, Kaiwen Li, Rui Wang, Tao Zhang, Ling Wang:
Coevolutionary Framework for Generalized Multimodal Multi-objective Optimization. CoRR abs/2212.01219 (2022) - 2020
- [i1]Yu-Jun Zheng, Xin Chen, Tie-Er Gan, Min-Xia Zhang, Wei-Guo Sheng, Ling Wang:
Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization. CoRR abs/2008.00395 (2020)
Coauthor Index
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