Qingling Zhu

According to our database, Qingling Zhu authored at least 18 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation.

Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin, Wei-Neng Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A survey on Evolutionary Reinforcement Learning algorithms.

Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin, Lijia Ma, Jianqiang Li, Zhong Ming, Jianyong Chen

Neurocomputing, November, 2023

A survey of dynamic pickup and delivery problems.

Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Lijia Ma, Jianqiang Li, Zhong Ming

Neurocomputing, October, 2023

A Kriging model-based evolutionary algorithm with support vector machine for dynamic multimodal optimization.

Xunfeng Wu, Qiuzhen Lin, Wu Lin, Yulong Ye, Qingling Zhu, Victor C. M. Leung

Eng. Appl. Artif. Intell., 2023

2022

Variable neighborhood search for a new practical dynamic pickup and delivery problem.

Junchuang Cai, Qingling Zhu, Qiuzhen Lin

Swarm Evol. Comput., 2022

An Efficient Evaluation Mechanism for Evolutionary Reinforcement Learning.

Xiaoqiang Wu, Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Jianyong Chen, Zhong Ming

Proceedings of the Intelligent Computing Theories and Application, 2022

An Efficient Multi-objective Evolutionary Algorithm for a Practical Dynamic Pickup and Delivery Problem.

Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Jianyong Chen, Zhong Ming

Proceedings of the Intelligent Computing Theories and Application, 2022

2021

An Elite Gene Guided Reproduction Operator for Many-Objective Optimization.

Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Carlos A. Coello Coello, Zhong Ming, Jianyong Chen, Jun Zhang

IEEE Trans. Cybern., 2021

2020

A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy.

Qingling Zhu, Qingfu Zhang, Qiuzhen Lin

IEEE Trans. Evol. Comput., 2020

2019

A multi-objective immune algorithm with dynamic population strategy.

Qiuzhen Lin, Qingling Zhu, Na Wang, Peizhi Huang, Wenjun Wang, Jianyong Chen, Zhong Ming

Swarm Evol. Comput., 2019

MOEA/D with Two Types of Weight Vectors for Handling Constraints.

Qingling Zhu, Qingfu Zhang, Qiuzhen Lin, Jianyong Sun

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems.

Qiuzhen Lin, Songbai Liu, Qingling Zhu, Chaoyu Tang, Ruizhen Song, Jianyong Chen, Carlos A. Coello Coello, Ka-Chun Wong, Jun Zhang

IEEE Trans. Evol. Comput., 2018

A gene-level hybrid search framework for multiobjective evolutionary optimization.

Qingling Zhu, Qiuzhen Lin, Jianyong Chen

Neural Comput. Appl., 2018

An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies.

Qiuzhen Lin, Yueping Ma, Jianyong Chen, Qingling Zhu, Carlos A. Coello Coello, Ka-Chun Wong, Fei Chen

Inf. Sci., 2018

2017

An External Archive-Guided Multiobjective Particle Swarm Optimization Algorithm.

Qingling Zhu, Qiuzhen Lin, Wei-Neng Chen, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Jianyong Chen, Jun Zhang

IEEE Trans. Cybern., 2017

An Elite Archive-Based MOEA/D Algorithm.

Qingling Zhu, Qiuzhen Lin, Jianyong Chen

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

2016

A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm.

Qingling Zhu, Qiuzhen Lin, Zhihua Du, Zhengping Liang, Wenjun Wang, Zexuan Zhu, Jianyong Chen, Peizhi Huang, Zhong Ming

Inf. Sci., 2016

2015

A novel hybrid multi-objective immune algorithm with adaptive differential evolution.

Qiuzhen Lin, Qingling Zhu, Peizhi Huang, Jianyong Chen, Zhong Ming, Jianping Yu

Comput. Oper. Res., 2015