World's Best Scientists 2026 revealed!
Zhi-Hui Zhan

Zhi-Hui Zhan

D-Index & Metrics

Computer Science

D-Index
71
Citations
18870
World Ranking
1786
National Ranking
247

Overview

Zhi-Hui Zhan is affiliated with Nankai University in China and has made substantial contributions in the field of Computer Science, particularly within Artificial Intelligence. Their research spans several subfields including Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, and Control and Systems Engineering.

The main areas of study covered by Zhan focus on topics related to optimization and algorithm design. These include:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Robotic Path Planning Algorithms
  • Vehicle Routing Optimization Methods
  • Machine Learning and Extreme Learning Machine (ELM)
  • Traffic Control and Management

Among frequently co-authoring collaborators are Jun Zhang, Sam Kwong, Jian-Yu Li, Yi Jiang, and Kay Chen Tan. These collaborations suggest sustained partnerships across multiple research projects.

Zhan has published extensively in a range of scholarly venues, with notable frequent contributions to:

  • IEEE Transactions on Evolutionary Computation
  • IEEE Transactions on Cybernetics
  • SSRN Electronic Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Emerging Topics in Computational Intelligence

Examples of recent papers showcasing their research include:

  • "A survey on evolutionary computation for complex continuous optimization" (2021), published in Artificial Intelligence Review
  • "Evolutionary deep learning: A survey" (2022), published in Neurocomputing
  • "Adaptive Granularity Learning Distributed Particle Swarm Optimization for Large-Scale Optimization" (2020), published in IEEE Transactions on Cybernetics
  • "Growth Optimizer: A powerful metaheuristic algorithm for solving continuous and discrete global optimization problems" (2022), published in Knowledge-Based Systems
  • "A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization" (2021), published in IEEE Transactions on Evolutionary Computation

Best Publications

  • Adaptive Particle Swarm Optimization

    Zhi-Hui Zhan;Jun Zhang;Yun Li;H.S.-H. Chung

  • Orthogonal Learning Particle Swarm Optimization

    Zhi-Hui Zhan;Jun Zhang;Yun Li;Yu-Hui Shi

  • Particle Swarm Optimization With an Aging Leader and Challengers

    Wei-Neng Chen;Jun Zhang;Ying Lin;Ni Chen

  • Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches

    Zhi-Hui Zhan;Xiao-Fang Liu;Yue-Jiao Gong;Jun Zhang

  • Distributed evolutionary algorithms and their models

    Yue-Jiao Gong;Wei-Neng Chen;Zhi-Hui Zhan;Jun Zhang

  • An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing

    Xiao-Fang Liu;Zhi-Hui Zhan;Jeremiah D. Deng;Yun Li

  • Multiple Populations for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems

    Zhi-Hui Zhan;Jingjing Li;Jiannong Cao;Jun Zhang

  • A survey on evolutionary computation for complex continuous optimization

    Zhi-Hui Zhan;Lin Shi;Kay Chen Tan;Jun Zhang;Jun Zhang

  • Evolutionary Computation Meets Machine Learning: A Survey

    Jun Zhang;Zhi-hui Zhan;Ying Lin;Ni Chen

  • Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach

    Zong-Gan Chen;Zhi-Hui Zhan;Ying Lin;Yue-Jiao Gong

  • Differential Evolution With Two-Level Parameter Adaptation

    Wei-Jie Yu;Meie Shen;Wei-Neng Chen;Zhi-Hui Zhan

  • Particle swarm optimization based on dimensional learning strategy

    Guiping Xu;Quanlong Cui;Xiaohu Shi;Hongwei Ge

  • Automatic Niching Differential Evolution With Contour Prediction Approach for Multimodal Optimization Problems

    Zi-Jia Wang;Zhi-Hui Zhan;Ying Lin;Wei-Jie Yu

  • Adaptive Distributed Differential Evolution

    Zhi-Hui Zhan;Zi-Jia Wang;Hu Jin;Jun Zhang

  • Dynamic Group Learning Distributed Particle Swarm Optimization for Large-Scale Optimization and Its Application in Cloud Workflow Scheduling

    Zi-Jia Wang;Zhi-Hui Zhan;Wei-Jie Yu;Ying Lin

  • Coevolutionary Particle Swarm Optimization With Bottleneck Objective Learning Strategy for Many-Objective Optimization

    Xiao-Fang Liu;Zhi-Hui Zhan;Ying Gao;Jie Zhang

  • Evolutionary deep learning: A survey

    Unknown

  • Competitive and cooperative particle swarm optimization with information sharing mechanism for global optimization problems

    Yuhua Li;Zhi-Hui Zhan;Shujin Lin;Jun Zhang

  • Triple Archives Particle Swarm Optimization

    Xuewen Xia;Ling Gui;Fei Yu;Hongrun Wu

  • A modified brain storm optimization

    Zhi-hui Zhan;Jun Zhang;Yu-hui Shi;Hai-lin Liu

  • An Efficient Ant Colony System Based on Receding Horizon Control for the Aircraft Arrival Sequencing and Scheduling Problem

    Zhi-Hui Zhan;Jun Zhang;Yun Li;Ou Liu

  • Adaptive Granularity Learning Distributed Particle Swarm Optimization for Large-Scale Optimization

    Zi-Jia Wang;Zhi-Hui Zhan;Sam Kwong;Hu Jin

Frequent Co-Authors

Yue-Jiao Gong
Yue-Jiao Gong South China University of Technology
Yun Li
Yun Li University of Electronic Science and Technology of China
Sam Kwong
Sam Kwong Lingnan University
Wei-Neng Chen
Wei-Neng Chen South China University of Technology
Yuhui Shi
Yuhui Shi Southern University of Science and Technology
Hua Wang
Hua Wang Victoria University
Henry Shu-Hung Chung
Henry Shu-Hung Chung City University of Hong Kong
Zhiwen Yu
Zhiwen Yu Northwestern Polytechnical University
Yanchun Zhang
Yanchun Zhang Victoria University
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online learning options in Computer Science can open doors to rewarding careers, whether you’re just starting your journey or aiming to advance your expertise. Many students begin with an online associate degree to gain foundational skills before moving on to a bachelor’s or master’s program.

For those seeking specialized or higher-level roles, pursuing the best masters degree to get in Computer Science or related fields can lead to high-demand jobs and increased earning potential.

Cost can be a significant factor when choosing a school. There are many of the cheapest online college options that provide quality education without the hefty price tag—ideal for budget-conscious students.

If your previous academic performance is a concern, don’t worry. Numerous online schools that accept low gpa offer flexible admissions policies to help more students pursue their goals. With so many accessible pathways, starting or advancing your Computer Science career online has never been more achievable.

Best Scientists Citing Zhi-Hui Zhan

Trending Scientists

Recently Published Articles