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Quan-Ke Pan

2006–2026 年に発表

263
論文数
19,844
被引用数
85
h 指数
202
i10 指数

被引用数

Quan-Ke Pan の年別被引用数1979 年: 被引用 5 件1984 年: 被引用 1 件2000 年: 被引用 1 件2006 年: 被引用 5 件2007 年: 被引用 14 件2008 年: 被引用 36 件2009 年: 被引用 33 件2010 年: 被引用 116 件2011 年: 被引用 252 件2012 年: 被引用 320 件2013 年: 被引用 360 件2014 年: 被引用 444 件2015 年: 被引用 537 件2016 年: 被引用 593 件2017 年: 被引用 689 件2018 年: 被引用 857 件2019 年: 被引用 1,134 件2020 年: 被引用 1,176 件2021 年: 被引用 1,242 件2022 年: 被引用 1,284 件2023 年: 被引用 1,384 件2024 年: 被引用 1,393 件2025 年: 被引用 1,287 件2026 年: 被引用 356 件2027 年: 被引用 16 件1980〜1983 年は被引用が無いため表示していません1985〜1999 年は被引用が無いため表示していません2001〜2005 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 3,814 件、この内訳の 41.4%インド: 引用元論文 440 件、この内訳の 4.8%アメリカ合衆国: 引用元論文 408 件、この内訳の 4.4%イラン: 引用元論文 308 件、この内訳の 3.4%オーストラリア: 引用元論文 279 件、この内訳の 3%トルコ: 引用元論文 260 件、この内訳の 2.8%イギリス: 引用元論文 258 件、この内訳の 2.8%台湾: 引用元論文 227 件、この内訳の 2.5%シンガポール: 引用元論文 196 件、この内訳の 2.1%スペイン: 引用元論文 194 件、この内訳の 2.1%韓国: 引用元論文 147 件、この内訳の 1.6%フランス: 引用元論文 146 件、この内訳の 1.6%
0%41.4%その他 27.5%

機関

分野

  • Engineering56%
  • Computer Science37.4%
  • Decision Sciences1.4%
  • Business, Management and Accounting1.2%
  • Biochemistry, Genetics and Molecular Biology0.7%
  • Energy0.6%
  • その他2.7%

トピック

  • Scheduling and Optimization Algorithms15.1%
  • Metaheuristic Optimization Algorithms Research13.7%
  • Advanced Manufacturing and Logistics Optimization11.1%
  • Advanced Multi-Objective Optimization Algorithms7.7%
  • Evolutionary Algorithms and Applications6.1%
  • Assembly Line Balancing Optimization5.4%
  • その他40.9%

共著者

全論文

検索で開く
  1. Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem

    著者: Yu Du, Jun-qing Li, Xiao-long Chen, Peiyong Duan, Quan-Ke Pan - IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Trans. Emerg. Top. Comput. Intell. 2022 被引用: 185

  2. Differential evolution algorithm with ensemble of parameters and mutation strategies

    著者: Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Quan-Ke Pan, Mehmet Fatih Tasgetiren - Applied Soft Computing, Appl. Soft Comput. 2010 被引用: 1,348

  3. Iterated Greedy methods for the distributed permutation flowshop scheduling problem

    著者: Rubén Ruíz, Quan-Ke Pan, Bahman Naderi - Omega 2018 被引用: 413

  4. An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems

    著者: Quan-Ke Pan, Liang Gao, Ling Wang - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2020 被引用: 214

  5. A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems

    著者: Xuan He, Quan-Ke Pan, Liang Gao, Ling Wang, Ponnuthurai Nagaratnam Suganthan - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2021 被引用: 146

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

    著者: Kaizhou Gao, Fajun Yang, MengChu Zhou, Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2018 被引用: 298

  7. Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns

    著者: Yuyan Han, Dunwei Gong, Yaochu Jin, Quan-Ke Pan - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2017 被引用: 225

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

    著者: Jun-Qing Li, Yu Du, Kai-Zhou Gao, Pei-Yong Duan, Dun-Wei Gong, Quan-Ke Pan, Ponnuthurai N. Suganthan - IEEE Transactions on Automation Science and Engineering, IEEE Trans Autom. Sci. Eng. 2021 被引用: 154

  9. A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints

    著者: Hao-Xiang Qin, Yu-Yan Han, Yi-Ping Liu, Jun-Qing Li, Quan-Ke Pan, Xue Han - Expert Systems with Applications, Expert Syst. Appl. 2022 被引用: 101

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

    著者: Jinhao Zhang, Mi Xiao, Liang Gao, Quan-Ke Pan - Applied Mathematical Modelling 2018 被引用: 252

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

    著者: Quan-Ke Pan, Liang Gao, Ling Wang, Jing Liang, Xinyu Li - Expert Systems with Applications, Expert Syst. Appl. 2019 被引用: 260

  12. An Iterated Greedy Algorithm With Reinforcement Learning for Distributed Hybrid Flowshop Problems With Job Merging

    著者: Xin-Rui Tao, Quan-Ke Pan, Liang Gao - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2024 被引用: 56

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

    著者: Kai-Zhou Gao, Ponnuthurai Nagaratnam Suganthan, Tay Jin Chua, Chin-Soon Chong, Tian Xiang Cai, Quan-Ke Pan - Expert Systems with Applications, Expert Syst. Appl. 2015 被引用: 228

  14. A Three-Stage Multiobjective Approach Based on Decomposition for an Energy-Efficient Hybrid Flow Shop Scheduling Problem

    著者: Biao Zhang, Quan-Ke Pan, Liang Gao, Leilei Meng, Xinyu Li, Kunkun Peng - IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Trans. Syst. Man Cybern. Syst. 2019 被引用: 174

  15. An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem

    著者: Hao-Xiang Qin, Yu-Yan Han, Biao Zhang, Leilei Meng, Yiping Liu, Quan-Ke Pan, Dun-Wei Gong - Swarm and Evolutionary Computation, Swarm Evol. Comput. 2021 被引用: 119

  16. A distributed heterogeneous permutation flowshop scheduling problem with lot-streaming and carryover sequence-dependent setup time

    著者: Tao Meng, Quan-Ke Pan - Swarm and Evolutionary Computation, Swarm Evol. Comput. 2020 被引用: 131

  17. An effective discrete artificial bee colony algorithm for multi-AGVs dispatching problem in a matrix manufacturing workshop

    著者: Wen-Qiang Zou, Quan-Ke Pan, Tao Meng, Liang Gao, Yu-Long Wang - Expert Systems with Applications, Expert Syst. Appl. 2020 被引用: 126

  18. A collaborative variable neighborhood descent algorithm for the hybrid flowshop scheduling problem with consistent sublots

    著者: Biao Zhang, Quan-Ke Pan, Leilei Meng, Xin-Li Zhang, Yaping Ren, Jun-Qing Li, Xu-Chu Jiang - Applied Soft Computing, Appl. Soft Comput. 2021 被引用: 81

  19. Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm

    著者: Lou-Lei Dai, Quan-Ke Pan, Zhong-Hua Miao, Ponnuthurai Nagaratnam Suganthan, Kai-Zhou Gao - IEEE Transactions on Intelligent Transportation Systems, IEEE Trans. Intell. Transp. Syst. 2023 被引用: 53

  20. Sustainable Scheduling of Distributed Flow Shop Group: A Collaborative Multi-Objective Evolutionary Algorithm Driven by Indicators

    著者: Yuhang Wang, Yuyan Han, Yuting Wang, Quan-Ke Pan, Ling Wang - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2023 被引用: 46

  21. An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots

    著者: Biao Zhang, Quan-Ke Pan, Leilei Meng, Chao Lu, Jianhui Mou, Junqing Li - Knowledge-Based Systems, Knowl. Based Syst. 2021 被引用: 89

  22. Multi-Objective Teaching-Learning-Based Optimizer for a Multi-Weeding Robot Task Assignment Problem

    著者: Nianbo Kang, Zhonghua Miao, Quan-Ke Pan, Weimin Li, M. Fatih Taşgetiren - Tsinghua Science & Technology 2024 被引用: 44

  23. Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs

    著者: Jun-Qing Li, Mei-xian Song, Ling Wang, Pei-Yong Duan, Yu-Yan Han, Hong-yan Sang, Quan-Ke Pan - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2019 被引用: 192

  24. A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times

    著者: Yingli Li, Xinyu Li, Liang Gao, Biao Zhang, Quan-Ke Pan, Mehmet Fatih Tasgetiren, Leilei Meng - International Journal of Production Research, Int. J. Prod. Res. 2020 被引用: 119