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Mitsuo Gen

Active 1983–2026

234
Papers
19,107
Citations
62
h-index
180
i10-index

Citations

Citations per year for Mitsuo Gen1979: 1 citations1988: 1 citations1992: 5 citations1993: 4 citations1994: 5 citations1995: 8 citations1996: 22 citations1997: 25 citations1998: 44 citations1999: 62 citations2000: 80 citations2001: 84 citations2002: 120 citations2003: 219 citations2004: 192 citations2005: 184 citations2006: 355 citations2007: 323 citations2008: 382 citations2009: 376 citations2010: 410 citations2011: 372 citations2012: 348 citations2013: 416 citations2014: 477 citations2015: 468 citations2016: 371 citations2017: 323 citations2018: 409 citations2019: 401 citations2020: 437 citations2021: 422 citations2022: 328 citations2023: 376 citations2024: 378 citations2025: 317 citations2026: 102 citations2027: 2 citations1980–1987: no citations, so these years are not shown1989–1991: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 2,004 citing papers, 23.1% of this breakdownUnited States: 717 citing papers, 8.3% of this breakdownIran: 512 citing papers, 5.9% of this breakdownTaiwan: 496 citing papers, 5.7% of this breakdownIndia: 411 citing papers, 4.7% of this breakdownUnited Kingdom: 385 citing papers, 4.4% of this breakdownJapan: 376 citing papers, 4.3% of this breakdownSouth Korea: 247 citing papers, 2.8% of this breakdownTürkiye: 247 citing papers, 2.8% of this breakdownAustralia: 241 citing papers, 2.8% of this breakdownFrance: 207 citing papers, 2.4% of this breakdownSpain: 193 citing papers, 2.2% of this breakdown
0%23.1%Other 30.6%

Institutions

Fields

  • Engineering49.7%
  • Computer Science31.2%
  • Business, Management and Accounting7.9%
  • Decision Sciences5.1%
  • Social Sciences1%
  • Mathematics0.9%
  • Other4.2%

Topics

  • 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%
  • Other63.3%

Coauthors

All papers

Open in search
  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

    Authors: Wenqiang Zhang, Chen Li, Mitsuo Gen, Weidong Yang, Guohui Zhang - Expert Systems with Applications, Expert Syst. Appl. 2023 cited by 93

  2. Genetic Algorithms and Their Applications

    Authors: Mitsuo Gen, Lin Lin - Springer handbooks 2023 cited by 223

  3. Genetic Algorithms and Engineering Optimization

    Authors: Mitsuo Gen, Runwei Cheng - 1999 cited by 2,531

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

    Authors: Lu Sun, Lin Lin, Mitsuo Gen, Haojie Li - IEEE Transactions on Fuzzy Systems, IEEE Trans. Fuzzy Syst. 2019 cited by 140

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

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

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

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

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

    Authors: Fulya Altiparmak, Mitsuo Gen, Lin Lin, Turan Paksoy - Computers & Industrial Engineering, Comput. Ind. Eng. 2006 cited by 586

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

    Authors: Jie Gao, Linyan Sun, Mitsuo Gen - Computers & Operations Research, Comput. Oper. Res. 2007 cited by 518

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

    Authors: Mitsuo Gen, Fulya Altiparmak, Lin Lin - OR Spectrum, OR Spectr. 2006 cited by 286

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

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

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

    Authors: Wenqiang Zhang, Diji Yang, Guohui Zhang, Mitsuo Gen - Expert Systems with Applications, Expert Syst. Appl. 2019 cited by 62

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

    Authors: Wenqiang Zhang, Haoran Li, Weidong Yang, Guohui Zhang, Mitsuo Gen - Computers & Industrial Engineering, Comput. Ind. Eng. 2022 cited by 27

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

    Authors: Lin Lin, Mitsuo Gen - Soft Computing, Soft Comput. 2008 cited by 203

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

    Authors: John Runwei Cheng, Mitsuo Gen - Computers & Industrial Engineering, Comput. Ind. Eng. 2018 cited by 93

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

    Authors: Runwei Cheng, Mitsuo Gen, Yasuhiro Tsujimura - Computers & Industrial Engineering 1996 cited by 617

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

    Authors: Jie Gao, Linyan Sun, Lihua Wang, Mitsuo Gen - Computers & Industrial Engineering, Comput. Ind. Eng. 2008 cited by 154

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

    Authors: Yisong Yuan, Sudong Ye, Lin Lin, Mitsuo Gen - Computers & Industrial Engineering, Comput. Ind. Eng. 2021 cited by 78

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

    Authors: Wenqiang Zhang, Guanwei Xiao, Mitsuo Gen, Huili Geng, Xiaomeng Wang, Miaolei Deng, Guohui Zhang - Frontiers in Industrial Engineering 2024 cited by 40

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

    Authors: Chettha Chamnanlor, Kanchana Sethanan, Mitsuo Gen, Chen-Fu Chien - Journal of Intelligent Manufacturing, J. Intell. Manuf. 2015 cited by 66

  20. Introduction to Evolutionary Algorithms

    Authors: Xinjie Yu, Mitsuo Gen - Decision engineering 2010 cited by 332

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

    Authors: Jie Gao, Mitsuo Gen, Linyan Sun, Xiaohui Zhao - Computers & Industrial Engineering, Comput. Ind. Eng. 2007 cited by 236

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

    Authors: Jia-Nian Zheng, Chen-Fu Chien, Mitsuo Gen - Computers & Industrial Engineering, Comput. Ind. Eng. 2014 cited by 55

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

    Authors: Jianquan Guo, Guanlan Wang, Zhen Wang, Chengji Liang, Mitsuo Gen - Annals of Operations Research, Ann. Oper. Res. 2022 cited by 31

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

    Authors: Wenqiang Zhang, Chen Li, Mitsuo Gen, Weidong Yang, Zhongwei Zhang, Guohui Zhang - Mathematical Biosciences & Engineering 2022 cited by 18