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2020 – today
- 2024
[j26]Xiaoqiang Wang
, Liangjun Ke, Gewei Zhang, Dapeng Zhu:
Adaptive mean field multi-agent reinforcement learning. Inf. Sci. 669: 120560 (2024)- [c22]Yue Yang, Liangjun Ke:
Exploiting Degradation Prior for Personalized Federated Learning in Real-World Image Super-Resolution. ICMR 2024: 146-154 - [c21]Yuanhui Hao, Chubing Guo, Liangjun Ke:
Multi-UAV Collaborative Detection Based on Reinforcement Learning. ICSI (1) 2024: 463-474 - 2023
- [j25]Zhimin Qiao, Liangjun Ke, Xiaoqiang Wang:
Traffic signal control using a cooperative EWMA-based multi-agent reinforcement learning. Appl. Intell. 53(4): 4483-4498 (2023) - [c20]Laicai Xie, Wanpeng Ma, Liping Wang, Liangjun Ke:
A New Deep Reinforcement Learning Algorithm for UAV Swarm Confrontation Game. DMBD (1) 2023: 199-210 - 2022
- [j24]Xiaoqiang Wang, Liangjun Ke, Qiang Fu:
Attentional Factorized Q-Learning for Many-Agent Learning. IEEE Access 10: 108775-108784 (2022) - [c19]Yanxue Xiong, Zhigang Wang, Liangjun Ke:
A Deep Reinforcement Learning Approach for Cooperative Target Defense. DMBD (1) 2022: 17-26 - [c18]Jianyu Duan, Yanxiao Guo, Zhigang Wang, Liangjun Ke:
Particle Swarm Based Reinforcement Learning. DMBD (1) 2022: 27-36 - 2021
- [j23]Zhimin Qiao, Liangjun Ke, Gewei Zhang, Xiaoqiang Wang:
Adaptive collaborative optimization of traffic network signal timing based on immune-fireworks algorithm and hierarchical strategy. Appl. Intell. 51(10): 6951-6967 (2021) - [j22]Xiaoqiang Wang, Liangjun Ke, Zhimin Qiao, Xinghua Chai:
Large-Scale Traffic Signal Control Using a Novel Multiagent Reinforcement Learning. IEEE Trans. Cybern. 51(1): 174-187 (2021) - [c17]Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang:
Ordering-Based Causal Discovery with Reinforcement Learning. IJCAI 2021: 3566-3573 - [i3]Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang:
Ordering-Based Causal Discovery with Reinforcement Learning. CoRR abs/2105.06631 (2021) - 2020
- [j21]Ke Shang, Felix T. S. Chan, Stephen Karungaru, Kenji Terada, Zuren Feng, Liangjun Ke:
Two-Stage Robust Optimization for the Orienteering Problem with Stochastic Weights. Complex. 2020: 5649821:1-5649821:15 (2020) - [j20]Dongbin Jiao, Peng Yang, Liqun Fu, Liangjun Ke, Ke Tang:
Optimal Energy-Delay Scheduling for Energy-Harvesting WSNs With Interference Channel via Negatively Correlated Search. IEEE Internet Things J. 7(3): 1690-1703 (2020) - [c16]Gewei Zhang, Zihong Gao, Junbo Huo, Liangjun Ke:
Point Cloud Registration Using Evolutionary Algorithm. BIC-TA 2020: 69-77
2010 – 2019
- 2019
- [j19]Weibo Yang, Liangjun Ke:
An improved fireworks algorithm for the capacitated vehicle routing problem. Frontiers Comput. Sci. 13(3): 552-564 (2019) - [j18]Dongbin Jiao, Liangjun Ke, Shengbo Liu, Felix T. S. Chan:
Optimal Energy-Delay in Energy Harvesting Wireless Sensor Networks with Interference Channels. Sensors 19(4): 785 (2019) - [c15]Zhimin Qiao, Liangjun Ke, Xiaoqiang Wang, Xin Lu:
Signal Control of Urban Traffic Network Based on Multi-Agent Architecture and Fireworks Algorithm. CEC 2019: 2199-2206 - [c14]Dongbin Jiao, Peng Yang, Liqun Fu, Liangjun Ke, Ke Tang:
Optimal Energy-Delay Scheduling for Energy Harvesting WSNs via Negatively Correlated Search. ICC 2019: 1-7 - [i2]Xiaoqiang Wang, Liangjun Ke, Zhimin Qiao, Xinghua Chai:
Large-scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning. CoRR abs/1908.03761 (2019) - 2018
- [j17]Tianjiao Zhang, Liangjun Ke, Jing Li, Jisheng Li, Jingqi Huang, Zexi Li:
Metaheuristics for the tabu clustered traveling salesman problem. Comput. Oper. Res. 89: 1-12 (2018) - [j16]Liangjun Ke:
A brain storm optimization approach for the cumulative capacitated vehicle routing problem. Memetic Comput. 10(4): 411-421 (2018) - [i1]Dongbin Jiao, Liangjun Ke, Shengbo Liu, Felix T. S. Chan:
Optimal Energy-Delay in Energy Harvesting Wireless Sensor Networks with Interference Channel. CoRR abs/1810.11218 (2018) - 2017
- [j15]Jing Li, Liangjun Ke, Gangqiang Ye, Tianjiao Zhang:
Ant colony optimisation for the routing problem in the constellation network with node satellite constraint. Int. J. Bio Inspired Comput. 10(4): 267-274 (2017) - [j14]Dongbin Jiao, Liangjun Ke, Weibo Yang, Jing Li:
An Estimation of Distribution Algorithm Based Dynamic Clustering Approach for Wireless Sensor Networks. Wirel. Pers. Commun. 97(3): 4697-4727 (2017) - [c13]Dongbin Jiao, Liangjun Ke, Weibo Yang, Jing Li:
An Estimation of Distribution Algorithm Based Load-Balanced Clustering of Wireless Sensor Networks. CSE/EUC (1) 2017: 151-158 - [c12]Liangjun Ke, Weibo Yang:
Reformulation and Metaheuristic for the Team Orienteering Arc Routing Problem. ICSI (2) 2017: 494-501 - 2016
- [j13]Ke Shang, Zuren Feng, Liangjun Ke, Felix T. S. Chan:
Comprehensive Pareto Efficiency in robust counterpart optimization. Comput. Chem. Eng. 94: 75-91 (2016) - [c11]Hui Ding, Liangjun Ke, Zihao Geng:
Route planning in a new tourist recommender system: A fireworks algorithm based approach. CEC 2016: 4022-4028 - [c10]Tianjiao Zhang, Liangjun Ke, Jisheng Li, Jing Li, Zexi Li, Jingqi Huang:
Fireworks algorithm for the satellite link scheduling problem in the navigation constellation. CEC 2016: 4029-4037 - [c9]Zhenbao Liu, Zuren Feng, Liangjun Ke:
A Modified Fireworks Algorithm for the Multi-resource Range Scheduling Problem. ICSI (1) 2016: 535-543 - 2015
- [c8]Zhenbao Liu, Zuren Feng, Liangjun Ke:
Fireworks algorithm for the multi-satellite control resource scheduling problem. CEC 2015: 1280-1286 - [c7]Ke Shang, Liangjun Ke, Zuren Feng, Stephen Karungaru:
An Event-Driven Based Multiple Scenario Approach for Dynamic and Uncertain UAV Mission Planning. ICSI (2) 2015: 308-316 - 2014
- [j12]Liangjun Ke, Qingfu Zhang, Roberto Battiti:
Hybridization of Decomposition and Local Search for Multiobjective Optimization. IEEE Trans. Cybern. 44(10): 1808-1820 (2014) - [c6]Liangjun Ke, Huimin Guo, Qingfu Zhang:
A cooperative approach between metaheuristic and branch-and-price for the team orienteering problem with time windows. IEEE Congress on Evolutionary Computation 2014: 1878-1882 - [c5]Liangjun Ke, Laipeng Zhai:
A Multiobjective Large Neighborhood Search for a Vehicle Routing Problem. ICSI (2) 2014: 301-308 - [c4]Ke Shang, Stephen Karungaru, Zuren Feng, Liangjun Ke, Kenji Terada:
A GA-ACO hybrid algorithm for the multi-UAV mission planning problem. ISCIT 2014: 243-248 - 2013
- [j11]Liangjun Ke, Zuren Feng:
A two-phase metaheuristic for the cumulative capacitated vehicle routing problem. Comput. Oper. Res. 40(2): 633-638 (2013) - [j10]Liangjun Ke, Zongben Xu, Zuren Feng, Ke Shang, Xueming Qian:
Proportion-based robust optimization and team orienteering problem with interval data. Eur. J. Oper. Res. 226(1): 19-31 (2013) - [j9]Liangjun Ke, Qingfu Zhang, Roberto Battiti:
MOEA/D-ACO: A Multiobjective Evolutionary Algorithm Using Decomposition and AntColony. IEEE Trans. Cybern. 43(6): 1845-1859 (2013) - 2011
- [j8]Kailiang Xu, Zuren Feng, Liangjun Ke:
Single machine scheduling with total tardiness criterion and convex controllable processing times. Ann. Oper. Res. 186(1): 383-391 (2011) - [j7]Na Zhang, Zuren Feng, Liangjun Ke:
Guidance-solution based ant colony optimization for satellite control resource scheduling problem. Appl. Intell. 35(3): 436-444 (2011) - [j6]Xueming Qian, Xian-Sheng Hua, Ping Chen, Liangjun Ke:
PLBP: An effective local binary patterns texture descriptor with pyramid representation. Pattern Recognit. 44(10-11): 2502-2515 (2011) - 2010
- [j5]Kailiang Xu, Zuren Feng, Liangjun Ke:
A branch and bound algorithm for scheduling jobs with controllable processing times on a single machine to meet due dates. Ann. Oper. Res. 181(1): 303-324 (2010) - [j4]Zhi-Gang Ren, Zu-ren Feng, Liangjun Ke, Zhao-Jun Zhang:
New ideas for applying ant colony optimization to the set covering problem. Comput. Ind. Eng. 58(4): 774-784 (2010) - [j3]Liangjun Ke, Zuren Feng, Zhigang Ren, Xiaoliang Wei:
An ant colony optimization approach for the multidimensional knapsack problem. J. Heuristics 16(1): 65-83 (2010) - [c3]Na Zhang, Zuren Feng, Liangjun Ke:
New pheromone trail updating method of ACO for satellite control resource scheduling problem. IEEE Congress on Evolutionary Computation 2010: 1-6
2000 – 2009
- 2009
- [c2]Qingsong Song, Zuren Feng, Liangjun Ke, Min Li:
Echo State Network for Abrupt Change Detections in Non-stationary Signals. ISDA 2009: 226-231 - 2008
- [j2]Liangjun Ke, Claudia Archetti, Zuren Feng:
Ants can solve the team orienteering problem. Comput. Ind. Eng. 54(3): 648-665 (2008) - [j1]Liangjun Ke, Zuren Feng, Zhigang Ren:
An efficient ant colony optimization approach to attribute reduction in rough set theory. Pattern Recognit. Lett. 29(9): 1351-1357 (2008) - [c1]Zhigang Ren, Zuren Feng, Liangjun Ke, Hong Chang:
A fast and efficient ant colony optimization approach for the set covering problem. IEEE Congress on Evolutionary Computation 2008: 1839-1844
Coauthor Index
aka: Zu-ren Feng
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