World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
8921
World Ranking
4910
National Ranking
660

Overview

Kaizhou Gao is affiliated with Macau University of Science and Technology in China. Their research work is primarily situated within the field of Engineering, with a strong emphasis on Industrial and Manufacturing Engineering as well as Control and Systems Engineering.

The scientist's contributions extend notably into the domain of Artificial Intelligence and Computer Networks and Communications, reflecting a multidisciplinary approach to complex engineering problems.

Kaizhou Gao's research topics cover a variety of subjects, including:

  • Scheduling and Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Assembly Line Balancing Optimization
  • Vehicle Routing Optimization Methods
  • Manufacturing Process and Optimization
  • Transportation Planning and Optimization
  • Optimization and Search Problems

Frequent collaborative partnerships have been established with researchers such as Yaping Fu, Yuyan Han, Junqing Li, Ponnuthurai Nagaratnam Suganthan, and Yuting Wang.

The scientist has published extensively in several scholarly venues, with a notable concentration of works appearing in:

  • Swarm and Evolutionary Computation
  • Expert Systems with Applications
  • Applied Soft Computing
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Systems Man and Cybernetics Systems

Key recent papers authored or co-authored by Kaizhou Gao include:

  • "Distributed scheduling problems in intelligent manufacturing systems," 2021, Tsinghua Science & Technology
  • "A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems," 2022, IEEE Transactions on Systems Man and Cybernetics Systems
  • "A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem," 2021, IEEE Transactions on Automation Science and Engineering
  • "A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances," 2022, IEEE Transactions on Intelligent Transportation Systems

Best Publications

  • A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems

    Kaizhou Gao;Zhiguang Cao;Le Zhang;Zhenghua Chen

  • Pareto-based discrete artificial bee colony algorithm for multi-objective flexible job shop scheduling problems

    Jun-Qing Li;Quan-Ke Pan;Quan-Ke Pan;Kai-Zhou Gao

  • Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions

    Jun-qing Li;Jun-qing Li;Jun-qing Li;Hong-yan Sang;Yu-yan Han;Cun-gang Wang

  • Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm

    Kaizhou Gao;Fajun Yang;MengChu Zhou;Quanke Pan

  • A two-stage artificial bee colony algorithm scheduling flexible job-shop scheduling problem with new job insertion

    Kai Zhou Gao;Ponnuthurai Nagaratnam Suganthan;Tay Jin Chua;Chin Soon Chong

  • A review of energy-efficient scheduling in intelligent production systems

    Kaizhou Gao;Kaizhou Gao;Yun Huang;Ali Sadollah;Ling Wang

  • Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling

    Kai-Zhou Gao;Kai-Zhou Gao;Ponnuthurai N. Suganthan;Quan-Ke Pan;Tay Jin Chua

  • Discrete harmony search algorithm for flexible job shop scheduling problem with multiple objectives

    K. Z. Gao;P. N. Suganthan;Q. K. Pan;T. J. Chua

  • Distributed Scheduling Problems in Intelligent Manufacturing Systems

    Yaping Fu;Yushuang Hou;Zifan Wang;Xinwei Wu

  • An improved artificial bee colony algorithm for flexible job-shop scheduling problem with fuzzy processing time

    Kai Zhou Gao;Ponnuthurai Nagaratnam Suganthan;Quan Ke Pan;Tay Jin Chua

  • Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times

    Unknown

  • An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems

    Unknown

  • Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion

    Kai Zhou Gao;Kai Zhou Gao;Ponnuthurai Nagaratnam Suganthan;Quan Ke Pan;Mehmet Fatih Tasgetiren

  • A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem

    Palwasha W. Shaikh;Mohammed El-Abd;Mounib Khanafer;Kaizhou Gao

  • A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem

    Jun-Qing Li;Yu Du;Kai-Zhou Gao;Pei-Yong Duan

  • Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion

    Hong-Yan Sang;Quan-Ke Pan;Jun-Qing Li;Ping Wang

  • A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem

    Jian Lin;Lei Zhu;Kaizhou Gao;Kaizhou Gao

  • A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances

    Unknown

  • Effective metaheuristics for scheduling a hybrid flowshop with sequence-dependent setup times

    Quan-Ke Pan;Liang Gao;Xin-Yu Li;Kai-Zhou Gao

  • A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing

    Kai-Zhou Gao;Kai-Zhou Gao;Z. M. He;Y. Huang;Pei-Yong Duan

  • Discrete harmony search algorithm for the no-wait flow shop scheduling problem with total flow time criterion

    Kai-zhou Gao;Quan-ke Pan;Jun-qing Li

  • Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time

    Yuyan Han;Junqing Li;Junqing Li;Hongyan Sang;Yiping Liu

  • An effective discrete harmony search algorithm for flexible job shop scheduling problem with fuzzy processing time

    Kai Zhou Gao;Ponnuthurai Nagaratnam Suganthan;Quan Ke Pan;Mehmet Fatih Tasgetiren

Frequent Co-Authors

Junqing Li
Junqing Li Liaocheng University
Rong Su
Rong Su Nanyang Technological University
Yi Zhang
Yi Zhang Nanyang Technological University
NaiQi Wu
NaiQi Wu Macau University of Science and Technology
Ling Wang
Ling Wang Tsinghua University
Jing Liang
Jing Liang Zhengzhou University
Le Zhang
Le Zhang University of Electronic Science and Technology of China
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Ben Niu
Ben Niu Chinese Academy of Sciences

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