default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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.dagstuhl.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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j275]Zuocheng Li, Ziqi Ding, Bin Qian, Rong Hu, Rongjuan Luo, Ling Wang:
Bayesian learning based elitist nondominated sorting algorithm for a kind of multi-objective integrated production scheduling and transportation problem. Appl. Soft Comput. 169: 112537 (2025)- [j274]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) - [j273]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) - [j272]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) - [j271]Fuqing Zhao, Lisi Song, Tao Jiang, Ling Wang, Chenxin Dong:
A Policy-Based Meta-Heuristic Algorithm for Energy-Aware Distributed No-Wait Flow-Shop Scheduling in Heterogeneous Factory Systems. IEEE Trans. Syst. Man Cybern. Syst. 55(1): 620-634 (2025) - 2024
- [j270]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) - [j269]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) - [j268]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) - [j267]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) - [j266]Xupeng Wen, Guohua Wu, Shuanglin Li, Ling Wang:
Ensemble multi-objective optimization approach for heterogeneous drone delivery problem. Expert Syst. Appl. 249: 123472 (2024) - [j265]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) - [j264]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) - [j263]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) - [j262]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) - [j261]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) - [j260]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) - [j259]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) - [j258]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) - [j257]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) - [j256]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) - [j255]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) - [j254]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) - [j253]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) - [j252]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) - [j251]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) - [j250]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) - [j249]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) - [j248]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) - [j247]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) - [j246]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) - [j245]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) - [j244]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) - [j243]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) - [j242]Wenhua Li, Rui Wang, Yong Heng, Tao Zhang, Ling Wang:
Knowledge-Guided Evolutionary Optimization for Large-Scale Air Defense Resource Allocation. IEEE Trans. Artif. Intell. 5(12): 6267-6279 (2024) - [j241]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) - [j240]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) - [j239]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) - [j238]Lizhong Yao, Xin Zong, Ling Wang, Rui Li, Jun Yi:
Explicit Evolutionary Framework With Multitasking Feature Fusion for Optimizing Operational Parameters in Aluminum Electrolysis Process. IEEE Trans. Cybern. 54(12): 7527-7540 (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) - [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 - [i6]Fei Ming, Wenyin Gong, Ling Wang, Yaochu Jin:
Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection. CoRR abs/2402.12381 (2024) - [i5]Weixiong Huang, Rui Wang, Tao Zhang, Sheng Qi, Ling Wang:
Evolutionary Algorithm with Detection Region Method for Constrained Multi-Objective Problems with Binary Constraints. CoRR abs/2411.08437 (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]