Qingling Zhu

According to our database, Qingling Zhu authored at least 33 papers between 2015 and 2024.

Collaborative distances:

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

2024

Decomposition-Based Multiobjective Evolutionary Optimization With Tabu Search for Dynamic Pickup and Delivery Problems.

Junchuang Cai, Qingling Zhu, Qiuzhen Lin, Zhong Ming, Kay Chen Tan

IEEE Trans. Intell. Transp. Syst., October, 2024

Multitask-Based Evolutionary Optimization for Vehicle Routing Problems in Autonomous Transportation.

Jianqiang Li, Junchuang Cai, Tao Sun, Qingling Zhu, Qiuzhen Lin

IEEE Trans Autom. Sci. Eng., July, 2024

Multi-agent deep Q-network-based metaheuristic algorithm for Nurse Rostering Problem.

Xinzhi Zhang, Yeming Yang, Qingling Zhu, Qiuzhen Lin, Weineng Chen, Jianqiang Li, Carlos A. Coello Coello

Swarm Evol. Comput., 2024

CAGAN: Constrained neural architecture search for GANs.

Yeming Yang, Xinzhi Zhang, Qingling Zhu, Weineng Chen, Ka-Chun Wong, Qiuzhen Lin

Knowl. Based Syst., 2024

Evolutionary reinforcement learning with action sequence search for imperfect information games.

Xiaoqiang Wu, Qingling Zhu, Wei-Neng Chen, Qiuzhen Lin, Jianqiang Li, Carlos A. Coello Coello

Inf. Sci., 2024

A complementary fused method using GRU and XGBoost models for long-term solar energy hourly forecasting.

Yaojian Xu, Shaifeng Zheng, Qingling Zhu, Ka-Chun Wong, Xu Wang, Qiuzhen Lin

Expert Syst. Appl., 2024

A Kriging-assisted evolutionary algorithm with multiple infill sampling for expensive many-objective optimization.

Qingling Zhu, Gaoli Kang, Xunfeng Wu, Qiuzhen Lin, Huimei Tang, Jianyong Chen

Eng. Appl. Artif. Intell., 2024

A Pareto dominance relation based on reference vectors for evolutionary many-objective optimization.

Shuai Wang, Hui Wang, Zichen Wei, Feng Wang, Qingling Zhu, Jia Zhao, Zhihua Cui

Appl. Soft Comput., 2024

Deep Reinforcement Learning-Based Multi-Agent Algorithm for Vehicle Routing Problem in Complex Logistics Scenarios.

Xinzhi Zhang, Yeming Yang, Junchuang Cai, Qingling Zhu, Weineng Chen, Qiuzhen Lin

Proceedings of the International Joint Conference on Neural Networks, 2024

NAS-SW: Efficient Neural Architecture Search with Stage-Wise Search Strategy.

Jikun Nie, Yeming Yang, Qingling Zhu, Qiuzhen Lin

Proceedings of the International Joint Conference on Neural Networks, 2024

VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting.

Yingnan Yang, Qingling Zhu, Jianyong Chen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Constrained Sampling-Based Evolutionary Neural Architecture Search for GANs.

Yeming Yang, Qingling Zhu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Multi-Stage Transfer Learning Evolutionary Algorithm for Dynamic Multiobjective Optimization.

Qianhui Wang, Qingling Zhu, Junkai Ji

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Intelligent Blocking and Prevention of SARS-CoV-2 Based on Evolutionary Reinforcement Learning.

Chengwei He, Huaping Hong, Lijia Ma, Qingling Zhu, Yuan Bai

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Adaptive Evolutionary Reinforcement Learning Algorithm with Early Termination Strategy.

Xiaoqiang Wu, Qingling Zhu, Qiuzhen Lin, Weineng Chen, Jianqiang Li

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 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