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Qingling Zhu
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Publications
- 2024
- [c5]Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin, Wei-Neng Chen:
Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation. AAAI 2024: 20892-20900 - 2023
- [j13]Xunfeng Wu, Qiuzhen Lin, Wu Lin, Yulong Ye, Qingling Zhu, Victor C. M. Leung:
A Kriging model-based evolutionary algorithm with support vector machine for dynamic multimodal optimization. Eng. Appl. Artif. Intell. 122: 106039 (2023) - [j12]Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Lijia Ma, Jianqiang Li, Zhong Ming:
A survey of dynamic pickup and delivery problems. Neurocomputing 554: 126631 (2023) - [j11]Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin, Lijia Ma, Jianqiang Li, Zhong Ming, Jianyong Chen:
A survey on Evolutionary Reinforcement Learning algorithms. Neurocomputing 556: 126628 (2023) - 2022
- [j10]Junchuang Cai, Qingling Zhu, Qiuzhen Lin:
Variable neighborhood search for a new practical dynamic pickup and delivery problem. Swarm Evol. Comput. 75: 101182 (2022) - [c4]Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Jianyong Chen, Zhong Ming:
An Efficient Multi-objective Evolutionary Algorithm for a Practical Dynamic Pickup and Delivery Problem. ICIC (1) 2022: 27-40 - [c3]Xiaoqiang Wu, Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Jianyong Chen, Zhong Ming:
An Efficient Evaluation Mechanism for Evolutionary Reinforcement Learning. ICIC (1) 2022: 41-50 - 2021
- [j9]Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Carlos A. Coello Coello, Zhong Ming, Jianyong Chen, Jun Zhang:
An Elite Gene Guided Reproduction Operator for Many-Objective Optimization. IEEE Trans. Cybern. 51(2): 765-778 (2021) - 2020
- [j8]Qingling Zhu, Qingfu Zhang, Qiuzhen Lin:
A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy. IEEE Trans. Evol. Comput. 24(5): 938-947 (2020) - 2019
- [j7]Qiuzhen Lin, Qingling Zhu, Na Wang, Peizhi Huang, Wenjun Wang, Jianyong Chen, Zhong Ming:
A multi-objective immune algorithm with dynamic population strategy. Swarm Evol. Comput. 50 (2019) - [c2]Qingling Zhu, Qingfu Zhang, Qiuzhen Lin, Jianyong Sun:
MOEA/D with Two Types of Weight Vectors for Handling Constraints. CEC 2019: 1359-1365 - 2018
- [j6]Qiuzhen Lin, Yueping Ma, Jianyong Chen, Qingling Zhu, Carlos A. Coello Coello, Ka-Chun Wong, Fei Chen:
An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies. Inf. Sci. 430: 46-64 (2018) - [j5]Qingling Zhu, Qiuzhen Lin, Jianyong Chen:
A gene-level hybrid search framework for multiobjective evolutionary optimization. Neural Comput. Appl. 30(3): 759-773 (2018) - [j4]Qiuzhen Lin, Songbai Liu, Qingling Zhu, Chaoyu Tang, Ruizhen Song, Jianyong Chen, Carlos A. Coello Coello, Ka-Chun Wong, Jun Zhang:
Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. 22(1): 32-46 (2018) - 2017
- [j3]Qingling Zhu, Qiuzhen Lin, Wei-Neng Chen, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Jianyong Chen, Jun Zhang:
An External Archive-Guided Multiobjective Particle Swarm Optimization Algorithm. IEEE Trans. Cybern. 47(9): 2794-2808 (2017) - [c1]Qingling Zhu, Qiuzhen Lin, Jianyong Chen:
An Elite Archive-Based MOEA/D Algorithm. SEAL 2017: 236-247 - 2016
- [j2]Qingling Zhu, Qiuzhen Lin, Zhihua Du, Zhengping Liang, Wenjun Wang, Zexuan Zhu, Jianyong Chen, Peizhi Huang, Zhong Ming:
A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm. Inf. Sci. 345: 177-198 (2016) - 2015
- [j1]Qiuzhen Lin, Qingling Zhu, Peizhi Huang, Jianyong Chen, Zhong Ming, Jianping Yu:
A novel hybrid multi-objective immune algorithm with adaptive differential evolution. Comput. Oper. Res. 62: 95-111 (2015)
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