Ling Wang

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 243

Top Venues

Swarm Evol. Comput.

IEEE Trans. Syst. Man Cybern. Syst.

Knowl. Based Syst.

IEEE Trans. Evol. Comput.

Publications

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) (2024)
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) (2024)
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) (2024)
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) (2024)
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 (2024)
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 (2024)
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) (2024)
Ningning Zhu, Fuqing Zhao, Yang Yu, Ling Wang
A hierarchical reinforcement learning-aware hyper-heuristic algorithm with fitness landscape analysis. Swarm Evol. Comput. 90 (2024)
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 (2024)
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) (2024)
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 (2024)
Fei Ming, Wenyin Gong, Ling Wang, Yaochu Jin
Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection. CoRR (2024)
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) (2024)
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) (2024)
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)
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) (2024)
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 (2024)
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 (2024)
Fei Ming, Wenyin Gong, Ling Wang, Liang Gao
Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer. IEEE Trans. Evol. Comput. 28 (1) (2024)
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 (2024)
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) (2024)
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) (2024)
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) (2024)
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) (2024)
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) (2024)
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) (2024)
Shuijia Li, Wenyin Gong, Ling Wang, Qiong Gu
Evolutionary Multitasking via Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
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) (2024)
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) (2024)
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) (2024)
Xupeng Wen, Guohua Wu, Shuanglin Li, Ling Wang
Ensemble multi-objective optimization approach for heterogeneous drone delivery problem. Expert Syst. Appl. 249 (2024)
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 (2024)
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) (2024)
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 (2024)
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) (2023)
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) (2023)
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) (2023)
Yuting Wu, Ling Wang, Xinying Zhuang, Jing-jing Wang, Jing-fang Chen, Jie Zheng
system. Knowl. Based Syst. 274 (2023)
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) (2023)
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) (2023)
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) (2023)
Fei Ming, Wenyin Gong, Shuijia Li, Ling Wang, Zuowen Liao
Handling constrained many-objective optimization problems via determinantal point processes. Inf. Sci. 643 (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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 (2023)
Zi-Qi Zhang, Fang-Chun Wu, Bin Qian, Rong Hu, Ling Wang, Huai-Ping Jin
-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation. Expert Syst. Appl. 234 (2023)
Jing-jing Wang, Ling Wang, Xia Xiu
A cooperative memetic algorithm for energy-aware distributed welding shop scheduling problem. Eng. Appl. Artif. Intell. 120 (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
Huixiang Zhen, Shijie Xiong, Wenyin Gong, Ling Wang
Neighborhood evolutionary sampling with dynamic repulsion for expensive multimodal optimization. Inf. Sci. 630 (2023)
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) (2023)
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) (2023)
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) (2023)
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 (2023)
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) (2023)
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 (2023)
Huixiang Zhen, Wenyin Gong, Ling Wang
Evolutionary Sampling Agent for Expensive Problems. IEEE Trans. Evol. Comput. 27 (3) (2023)
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) (2023)
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) (2023)
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) (2023)
Huixiang Zhen, Wenyin Gong, Ling Wang
Offline data-driven evolutionary optimization based on model selection. Swarm Evol. Comput. 71 (2022)
Juan Li, Bin Xin, Jie Chen, Ling Wang
S-CoEA: Subproblems Co-Solving Evolutionary Algorithm for Uncertain Optimization. IEEE Trans. Cybern. 52 (10) (2022)
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) (2022)
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) (2022)
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 (2022)
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) (2022)
Quan-Ke Pan, Liang Gao, Ling Wang
An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems. IEEE Trans. Cybern. 52 (7) (2022)
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) (2022)
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 (2022)
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) (2022)
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) (2022)
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 (2022)
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) (2022)
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) (2022)
Wei Li, Wenyin Gong, Fei Ming, Ling Wang
Constrained multi-objective evolutionary algorithm with an improved two-archive strategy. Knowl. Based Syst. 246 (2022)
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 (2022)
Shuijia Li, Wenyin Gong, Ling Wang, Qiong Gu
Multi-objective optimal power flow with stochastic wind and solar power. Appl. Soft Comput. 114 (2022)
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 (2022)
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) (2022)
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) (2022)

Ling Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ling Wang