World's Best Scientists 2026 revealed!
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Engineering and Technology
China
2026

D-Index & Metrics

Engineering and Technology

D-Index
91
Citations
23467
World Ranking
254
National Ranking
44

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in China Leader Award

Best Publications

  • Differential evolution algorithm with ensemble of parameters and mutation strategies

    R. Mallipeddi;P. N. Suganthan;Q. K. Pan;M. F. Tasgetiren

  • A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem

    Quan-Ke Pan;M. Fatih Tasgetiren;P. N. Suganthan;T. J. Chua

  • A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem

    Quan-Ke Pan;M. Fatih Tasgetiren;Yun-Chia Liang

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

    Kaizhou Gao;Zhiguang Cao;Le Zhang;Zhenghua Chen

  • A self-adaptive global best harmony search algorithm for continuous optimization problems

    Quan-Ke Pan;P. N. Suganthan;M. Fatih Tasgetiren;J. J. Liang

  • A discrete differential evolution algorithm for the permutation flowshop scheduling problem

    Quan-Ke Pan;Mehmet Fatih Tasgetiren;Yun-Chia Liang

  • Iterated Greedy methods for the distributed permutation flowshop scheduling problem

    Rubén Ruiz;Quan-Ke Pan;Bahman Naderi

  • An effective hybrid tabu search algorithm for multi-objective flexible job-shop scheduling problems

    Jun-qing Li;Quan-ke Pan;Yun-Chia Liang

  • A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities

    Jun-Qing Li;Jun-Qing Li;Quan-Ke Pan;Quan-Ke Pan;M. Fatih Tasgetiren

  • 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

  • A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems

    Ling Wang;Quan-Ke Pan;P. N. Suganthan;Wen-Hong Wang

  • Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm

    Chao Lu;Liang Gao;Xinyu Li;Quanke Pan

  • A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops

    M. Fatih Tasgetiren;Quan-Ke Pan;P. N. Suganthan;Angela H-L Chen

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

    Kaizhou Gao;Fajun Yang;MengChu Zhou;Quanke Pan

  • An improved fruit fly optimization algorithm for continuous function optimization problems

    Quan-Ke Pan;Quan-Ke Pan;Hong-Yan Sang;Jun-Hua Duan;Liang Gao

  • 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

  • Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem

    Quan-Ke Pan;Quan-Ke Pan;Liang Gao;Ling Wang;Jing Liang

  • Queuing search algorithm: A novel metaheuristic algorithm for solving engineering optimization problems

    Jinhao Zhang;Mi Xiao;Liang Gao;Quanke Pan

  • A novel discrete artificial bee colony algorithm for the hybrid flowshop scheduling problem with makespan minimisation

    Quan-Ke Pan;Quan-Ke Pan;Ling Wang;Jun-Qing Li;Jun-Qing Li;Jun-Hua Duan;Jun-Hua Duan

  • A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems

    Quan-Ke Pan;Ling Wang;Bin Qian

Frequent Co-Authors

Junqing Li
Junqing Li Liaocheng University
Liang Gao
Liang Gao Huazhong University of Science and Technology
Kaizhou Gao
Kaizhou Gao Macau University of Science and Technology
Ling Wang
Ling Wang Tsinghua University
Jing Liang
Jing Liang Zhengzhou University
Xinyu Li
Xinyu Li Huazhong University of Science and Technology
Tianyou Chai
Tianyou Chai Northeastern University
Rubén Ruiz
Rubén Ruiz Universitat Politècnica de València
Peigen Li
Peigen Li Huazhong University of Science and Technology

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Best Scientists Citing Quan-Ke Pan