World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
7666
World Ranking
6249
National Ranking
833

Overview

Qiuzhen Lin is affiliated with Shenzhen University in China and works primarily in the fields of Computer Science and Medicine. Their research spans multiple subfields including Artificial Intelligence, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine, Molecular Biology, and Computer Networks and Communications.

Their scholarly work focuses extensively on topics related to optimization and algorithm development. Key research themes include:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Atrial Fibrillation Management and Outcomes
  • Network Security and Intrusion Detection
  • Artificial Immune Systems Applications
  • Complex Network Analysis Techniques

Qiuzhen Lin has contributed to numerous publications, often appearing in prominent journals and conference venues. Frequent publication venues include:

  • IEEE Transactions on Evolutionary Computation
  • Swarm and Evolutionary Computation
  • IEEE Transactions on Cybernetics
  • Knowledge-Based Systems
  • IEEE Transactions on Emerging Topics in Computational Intelligence

Some of their recent papers include:

  • Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces, 2020, IEEE Transactions on Evolutionary Computation
  • A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy, 2020, IEEE Transactions on Evolutionary Computation
  • Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach, 2020, IEEE Internet of Things Journal (note: first author Ying He)
  • Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing, 2022, Knowledge-Based Systems (note: first author Yi Chen)
  • Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization, 2022, IEEE Transactions on Evolutionary Computation (note: first author Songbai Liu)

Lin frequently collaborates with several researchers. Notable coauthors based on publication count include:

  • Jianqiang Li
  • Kay Chen Tan
  • Ka-Chun Wong
  • Zhong Ming
  • Songbai Liu

Best Publications

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

    Qiuzhen Lin;Songbai Liu;Qingling Zhu;Chaoyu Tang

  • A novel multi-objective particle swarm optimization with multiple search strategies

    Qiuzhen Lin;Jianqiang Li;Zhihua Du;Jianyong Chen

  • A Hybrid Path Planning Method in Unmanned Air/Ground Vehicle (UAV/UGV) Cooperative Systems

    Jianqiang Li;Genqiang Deng;Chengwen Luo;Qiuzhen Lin

  • Adaptive differential evolution algorithm with novel mutation strategies in multiple sub-populations

    Laizhong Cui;Genghui Li;Qiuzhen Lin;Jianyong Chen

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

    Qingling Zhu;Qingfu Zhang;Qiuzhen Lin

  • Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces

    Qiuzhen Lin;Wu Lin;Zexuan Zhu;Maoguo Gong

  • Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach

    Ying He;Yuhang Wang;Chao Qiu;Qiuzhen Lin

  • A novel artificial bee colony algorithm with depth-first search framework and elite-guided search equation

    Laizhong Cui;Genghui Li;Qiuzhen Lin;Zhihua Du

  • A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems

    Qiuzhen Lin;Jianyong Chen;Zhi-Hui Zhan;Wei-Neng Chen

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

    Qiuzhen Lin;Qingling Zhu;Peizhi Huang;Jianyong Chen

  • An External Archive-Guided Multiobjective Particle Swarm Optimization Algorithm

    Qingling Zhu;Qiuzhen Lin;Weineng Chen;Ka-Chun Wong

  • Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing

    Unknown

  • Adaptive multiple-elites-guided composite differential evolution algorithm with a shift mechanism

    Laizhong Cui;Genghui Li;Genghui Li;Zexuan Zhu;Qiuzhen Lin

  • Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization

    Unknown

  • A ranking-based adaptive artificial bee colony algorithm for global numerical optimization

    Laizhong Cui;Genghui Li;Genghui Li;Xizhao Wang;Qiuzhen Lin

  • A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems

    Qiuzhen Lin;Songbai Liu;Ka-Chun Wong;Maoguo Gong

  • A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization

    Laizhong Cui;Genghui Li;Genghui Li;Zexuan Zhu;Qiuzhen Lin

  • A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization

    Unknown

  • Multifactorial optimization via explicit multipopulation evolutionary framework

    Genghui Li;Qiuzhen Lin;Weifeng Gao

  • Simultaneous Arithmetic Coding and Encryption Using Chaotic Maps

    Kwok-Wo Wong;Qiuzhen Lin;Jianyong Chen

  • A novel hybrid differential evolution algorithm with modified CoDE and JADE

    Genghui Li;Qiuzhen Lin;Laizhong Cui;Zhihua Du

  • Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm

    Qiuzhen Lin;Zhiwang Liu;Qiao Yan;Zhihua Du

  • A hybrid immune multiobjective optimization algorithm

    Jianyong Chen;Qiuzhen Lin;Zhen Ji

Frequent Co-Authors

Jianqiang Li
Jianqiang Li Beijing University of Technology
Maoguo Gong
Maoguo Gong Xidian University
Zexuan Zhu
Zexuan Zhu Shenzhen University
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Kwok-Wo Wong
Kwok-Wo Wong City University of Hong Kong
Zhu-Hong You
Zhu-Hong You Chinese Academy of Sciences
Qingfu Zhang
Qingfu Zhang City University of Hong Kong
Dunwei Gong
Dunwei Gong Qingdao University of Science and Technology
Sam Kwong
Sam Kwong Lingnan University

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