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Mitsuo Gen

1983–2026 年に発表

234
論文数
19,107
被引用数
62
h 指数
180
i10 指数

被引用数

Mitsuo Gen の年別被引用数1979 年: 被引用 1 件1988 年: 被引用 1 件1992 年: 被引用 5 件1993 年: 被引用 4 件1994 年: 被引用 5 件1995 年: 被引用 8 件1996 年: 被引用 22 件1997 年: 被引用 25 件1998 年: 被引用 44 件1999 年: 被引用 62 件2000 年: 被引用 80 件2001 年: 被引用 84 件2002 年: 被引用 120 件2003 年: 被引用 219 件2004 年: 被引用 192 件2005 年: 被引用 184 件2006 年: 被引用 355 件2007 年: 被引用 323 件2008 年: 被引用 382 件2009 年: 被引用 376 件2010 年: 被引用 410 件2011 年: 被引用 372 件2012 年: 被引用 348 件2013 年: 被引用 416 件2014 年: 被引用 477 件2015 年: 被引用 468 件2016 年: 被引用 371 件2017 年: 被引用 323 件2018 年: 被引用 409 件2019 年: 被引用 401 件2020 年: 被引用 437 件2021 年: 被引用 422 件2022 年: 被引用 328 件2023 年: 被引用 376 件2024 年: 被引用 378 件2025 年: 被引用 317 件2026 年: 被引用 102 件2027 年: 被引用 2 件1980〜1987 年は被引用が無いため表示していません1989〜1991 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 2,004 件、この内訳の 23.1%アメリカ合衆国: 引用元論文 717 件、この内訳の 8.3%イラン: 引用元論文 512 件、この内訳の 5.9%台湾: 引用元論文 496 件、この内訳の 5.7%インド: 引用元論文 411 件、この内訳の 4.7%イギリス: 引用元論文 385 件、この内訳の 4.4%日本: 引用元論文 376 件、この内訳の 4.3%韓国: 引用元論文 247 件、この内訳の 2.8%トルコ: 引用元論文 247 件、この内訳の 2.8%オーストラリア: 引用元論文 241 件、この内訳の 2.8%フランス: 引用元論文 207 件、この内訳の 2.4%スペイン: 引用元論文 193 件、この内訳の 2.2%
0%23.1%その他 30.6%

機関

分野

  • Engineering49.7%
  • Computer Science31.2%
  • Business, Management and Accounting7.9%
  • Decision Sciences5.1%
  • Social Sciences1%
  • Mathematics0.9%
  • その他4.2%

トピック

  • Scheduling and Optimization Algorithms9.4%
  • Metaheuristic Optimization Algorithms Research8.2%
  • Advanced Manufacturing and Logistics Optimization6.8%
  • Advanced Multi-Objective Optimization Algorithms5.3%
  • Evolutionary Algorithms and Applications3.5%
  • Vehicle Routing Optimization Methods3.5%
  • その他63.3%

共著者

全論文

検索で開く
  1. A multiobjective memetic algorithm with particle swarm optimization and Q-learning-based local search for energy-efficient distributed heterogeneous hybrid flow-shop scheduling problem

    著者: Wenqiang Zhang, Chen Li, Mitsuo Gen, Weidong Yang, Guohui Zhang - Expert Systems with Applications, Expert Syst. Appl. 2023 被引用: 93

  2. Genetic Algorithms and Their Applications

    著者: Mitsuo Gen, Lin Lin - Springer handbooks 2023 被引用: 223

  3. Genetic Algorithms and Engineering Optimization

    著者: Mitsuo Gen, Runwei Cheng - 1999 被引用: 2,531

  4. A Hybrid Cooperative Coevolution Algorithm for Fuzzy Flexible Job Shop Scheduling

    著者: Lu Sun, Lin Lin, Mitsuo Gen, Haojie Li - IEEE Transactions on Fuzzy Systems, IEEE Trans. Fuzzy Syst. 2019 被引用: 140

  5. Joint Resource Scheduling for UAV-Enabled Mobile Edge Computing System in Internet of Vehicles

    著者: Lu Sun, Liangtian Wan, Jiashuai Wang, Lin Lin, Mitsuo Gen - IEEE Transactions on Intelligent Transportation Systems, IEEE Trans. Intell. Transp. Syst. 2022 被引用: 42

  6. Q-learning-based multi-objective particle swarm optimization with local search within factories for energy-efficient distributed flow-shop scheduling problem

    著者: Wenqiang Zhang, Huili Geng, Chen Li, Mitsuo Gen, Guohui Zhang, Miaolei Deng - Journal of Intelligent Manufacturing, J. Intell. Manuf. 2023 被引用: 39

  7. A genetic algorithm approach for multi-objective optimization of supply chain networks

    著者: Fulya Altiparmak, Mitsuo Gen, Lin Lin, Turan Paksoy - Computers & Industrial Engineering, Comput. Ind. Eng. 2006 被引用: 586

  8. A hybrid genetic and variable neighborhood descent algorithm for flexible job shop scheduling problems

    著者: Jie Gao, Linyan Sun, Mitsuo Gen - Computers & Operations Research, Comput. Oper. Res. 2007 被引用: 518

  9. A genetic algorithm for two-stage transportation problem using priority-based encoding

    著者: Mitsuo Gen, Fulya Altiparmak, Lin Lin - OR Spectrum, OR Spectr. 2006 被引用: 286

  10. Efficient Joint Deployment of Multi-UAVs for Target Tracking in Traffic Big Data

    著者: Lu Sun, Jiashuai Wang, Jie Wang, Lin Lin, Mitsuo Gen - IEEE Transactions on Intelligent Transportation Systems, IEEE Trans. Intell. Transp. Syst. 2024 被引用: 25

  11. Hybrid multiobjective evolutionary algorithm with fast sampling strategy-based global search and route sequence difference-based local search for VRPTW

    著者: Wenqiang Zhang, Diji Yang, Guohui Zhang, Mitsuo Gen - Expert Systems with Applications, Expert Syst. Appl. 2019 被引用: 62

  12. Hybrid multiobjective evolutionary algorithm considering combination timing for multi-type vehicle routing problem with time windows

    著者: Wenqiang Zhang, Haoran Li, Weidong Yang, Guohui Zhang, Mitsuo Gen - Computers & Industrial Engineering, Comput. Ind. Eng. 2022 被引用: 27

  13. Auto-tuning strategy for evolutionary algorithms: balancing between exploration and exploitation

    著者: Lin Lin, Mitsuo Gen - Soft Computing, Soft Comput. 2008 被引用: 203

  14. Accelerating genetic algorithms with GPU computing: A selective overview

    著者: John Runwei Cheng, Mitsuo Gen - Computers & Industrial Engineering, Comput. Ind. Eng. 2018 被引用: 93

  15. A tutorial survey of job-shop scheduling problems using genetic algorithms—I. representation

    著者: Runwei Cheng, Mitsuo Gen, Yasuhiro Tsujimura - Computers & Industrial Engineering 1996 被引用: 617

  16. An efficient approach for type II robotic assembly line balancing problems

    著者: Jie Gao, Linyan Sun, Lihua Wang, Mitsuo Gen - Computers & Industrial Engineering, Comput. Ind. Eng. 2008 被引用: 154

  17. Multi-objective multi-mode resource-constrained project scheduling with fuzzy activity durations in prefabricated building construction

    著者: Yisong Yuan, Sudong Ye, Lin Lin, Mitsuo Gen - Computers & Industrial Engineering, Comput. Ind. Eng. 2021 被引用: 78

  18. Enhancing multi-objective evolutionary algorithms with machine learning for scheduling problems: recent advances and survey

    著者: Wenqiang Zhang, Guanwei Xiao, Mitsuo Gen, Huili Geng, Xiaomeng Wang, Miaolei Deng, Guohui Zhang - Frontiers in Industrial Engineering 2024 被引用: 40

  19. Embedding ant system in genetic algorithm for re-entrant hybrid flow shop scheduling problems with time window constraints

    著者: Chettha Chamnanlor, Kanchana Sethanan, Mitsuo Gen, Chen-Fu Chien - Journal of Intelligent Manufacturing, J. Intell. Manuf. 2015 被引用: 66

  20. Introduction to Evolutionary Algorithms

    著者: Xinjie Yu, Mitsuo Gen - Decision engineering 2010 被引用: 332

  21. A hybrid of genetic algorithm and bottleneck shifting for multiobjective flexible job shop scheduling problems

    著者: Jie Gao, Mitsuo Gen, Linyan Sun, Xiaohui Zhao - Computers & Industrial Engineering, Comput. Ind. Eng. 2007 被引用: 236

  22. Multi-objective multi-population biased random-key genetic algorithm for the 3-D container loading problem

    著者: Jia-Nian Zheng, Chen-Fu Chien, Mitsuo Gen - Computers & Industrial Engineering, Comput. Ind. Eng. 2014 被引用: 55

  23. Research on remanufacturing closed loop supply chain based on incentive-compatibility theory under uncertainty

    著者: Jianquan Guo, Guanlan Wang, Zhen Wang, Chengji Liang, Mitsuo Gen - Annals of Operations Research, Ann. Oper. Res. 2022 被引用: 31

  24. Multiobjective particle swarm optimization with direction search and differential evolution for distributed flow-shop scheduling problem

    著者: Wenqiang Zhang, Chen Li, Mitsuo Gen, Weidong Yang, Zhongwei Zhang, Guohui Zhang - Mathematical Biosciences & Engineering 2022 被引用: 18