Dr. Jianjun  Yang
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Dr. Jianjun Yang

Associate Professor
Qingdao Technological University, China


Highest Degree
Ph.D. in System Optimization Design from Qingdao Technological University, China

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Biography

Dr. Jianjun Yang obtained his Ph.D. in System Optimization Design from Qingdao Technological University, China. His area of interest related to System Optimization Design, Intelligent Optimization Algorithms. His area of expertise includes, Optimal Design, Intelligent Optimization Algorithms, Genetic Algorithm, Path Planning, Job Shop Scheduling Problem, Pipe Network Optimization, and Operation Optimization. He has 16 publications in journals as author/co-author.

Area of Interest:

Mathematics
100%
Optimization
62%
Optimal design
90%
Intelligent Optimization Algorithms
75%
Genetic Algorithm
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Zhan, H., J.J. Yang and Y.C. Ding, 2011. Improved Genetic Algorithm for Optimization of Multi-Source Pumping Tree-Type Pipe Network. Adv. Mater. Res., 402: 738-741.
    CrossRef  |  Direct Link  |  
  2. Zhan, H., J.J. Yang and L.Y. Ju, 2011. Improved Genetic Algorithm Based on Operation Order Matrix Encoding for Job Shop Scheduling Problem. Adv. Mater. Res., 189-193: 4212-4215.
    CrossRef  |  Direct Link  |  
  3. Yang, J.J., L.Y. Ju and B.Y. Liu, 2011. The Improved Genetic Algorithm for Multi-Objective Flexible Job Shop Scheduling Problem. Appl. Mech. Mater., 66-68: 870-875.
    CrossRef  |  Direct Link  |  
  4. Yang, J.J., H. Zhan and Y. Cheng Ding, 2011. Improved dual coding genetic algorithm for the optimal design of looped pipe network based on cycle. Proceedings of the International Conference on Computer Distributed Control and Intelligent Environmental Monitoring, February 19-20, 2011, Changsha, Hunan, China, pp: 350-353.
    CrossRef  |  Direct Link  |  
  5. Ju, L.Y., J.J. Yang and B.Y. Liu, 2011. The Optimization of Flexible Job Shop Scheduling Problem Based on Improved Dual Coding Non-Dominated Sorting Genetic Algorithm. Adv. Mater. Res., 291-294: 2537-2540.
    CrossRef  |  Direct Link  |  
  6. Zhan, H. and J.J. Yang, 2010. Integer coding genetic algorithm for optimization of tree-type pipe network based on the graph theory. Proceedings of the 2nd WRI Global Congress on Intelligent Systems, Volume 1, December 16-17, 2010, Wuhan, China, pp: 312-315.
    CrossRef  |  Direct Link  |  
  7. Yang, J.J., H. Zhan and C.J. Lu, 2010. Improved genetic algorithm for centralized reactive power compensation optimization of distribution line. Power Syst. Prot. Control, 38: 47-50.
  8. Yang, J.J. and H. Zhan, 2010. Improved genetic algorithm for optimization of variable frequency speed regulation in complex multi-source water injection system. J. Shenyang Univ. Technol., 32: 559-563.
    Direct Link  |  
  9. Yang, J.J. and H. Zhan, 2010. Application of the improved genetic algorithm based on graph theory in distribution network reconfiguration. Power Syst. Prot. Control, 38: 122-125.
  10. Jianjun, Y., Z. Hong and D. Yucheng, 2010. Improved Genetic Algorithm for Optimization of Single Source Tree-Type Pipe Network Based on Cycle. J. Drain. Irrig. Mach. Eng., 28: 164-168.
    Direct Link  |  
  11. Jianjun, Y., D. Yucheng and Z. Wanhua, 2010. Optimization of Gravity Tree-type Pipe Network Based on Dual Coding Genetic Algorithm and Graph Theory. Trans. Chin. Soc. Agric. Mach., 2010: 81-85.
    Direct Link  |  
  12. Jianjun, Y., L. Yang and Z. Hong, 2007. Operation Optimization of Complex Water-Injection System with Variable Frequency Speed-Regulation Pump. Acta Petrolei Sin., 28: 124-128.
    Direct Link  |  
  13. Jian-jun, Y., Z. Hong and L. Yang, 2007. Optimization of Distribution Network Reconfiguration Based on Loop and Improved Genetic Algorithm. High Voltage Eng., 2007: 109-113.
    Direct Link  |  
  14. Yang, J., Y. Liu, L. Wei and H. Zhan, 2006. Dual Coding Hybrid Genetic Algorithm for Optimal Schedule of Pumping Stations in Multi-Sources Water Injection System. Acta Autom. Sin., 32: 154-160.
    Direct Link  |  
  15. Jianjun, Y., L. Yang and Z. Hong, 2006. Topology Optimization of Tree-Type Water-Injection Pipe Network Based on Hybrid Genetic Algorithm. Acta Petrolei Sin., 27: 106-110.
    Direct Link  |  
  16. Liu, Y., J.J. Yang, L.X. Wei and H. Zhan, 2004. The optimization of distribution network reconfiguration based on hybrid genetic algorithm. Syst. Engin. Theory Practice, 24: 122-127.