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Study on Multi Objective Optimization Method and It Application in Aviation and Deceleration Device

원문정보

Yu Guang-bin, Song Ye, Duan Yuan-wang, Zhao Xing-fu, Qu Zhigang, Sun Yong-guo

보안공학연구지원센터(IJSH) International Journal of Smart Home Vol.10 No.5 2016.05 pp.79-92
피인용수 : 0건 (자료제공 : 네이버학술정보)

목차

Abstract
 1. Introduction
 2. The Improved Cultural Particle Swarm Optimization Algorithm Based on Double Population
  2.1. Basic Ideas of Cultural Particle Swarm Algorithm
  2.2. Crossover and Niche Competition Mechanism
 3. The Verification of Multi Objective Optimization Design Based onCPSA Algorithm in Aviation with Micro and Small Speed Reducer
  3.1. Design Parameters of RV Reduction Device in Aviation for Variable Thickness Gear with Micro Adjustable Clearance
  3.2. Design Variables
  3.3. Determine of the Objective Function
  3.4. The Establishment of the Constraint Condition
  3.5. Optimize the Design of the Program
  3.6. Contrast Optimization Results
 4. Conclusion
 Acknowledgments
 References

키워드

저자정보

  • Yu Guang-bin School of Mechanical Engineering, Harbin University of Science and Technology, Heilongjiang, P.R. China
  • Song Ye School of Mechanical Engineering, Harbin University of Science and Technology, Heilongjiang, P.R. China
  • Duan Yuan-wang School of Mechanical Engineering, Harbin University of Science and Technology, Heilongjiang, P.R. China
  • Zhao Xing-fu AVIC Harbin Dongan Enginer(group) Cooporation LTD, Heilongjiang, P.R. China
  • Qu Zhigang School of Mechanical Engineering, Harbin University of Science and Technology, Heilongjiang, P.R. China
  • Sun Yong-guo School of Mechanical Engineering, Harbin University of Science and Technology, Heilongjiang, P.R. China

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