Abstract
For weapon systems, such as aircrafts and missiles, it is difficult for reliability evaluation method with maximum entropy to solve the parameters and nonlinear optimization problem. A method is proposed based on genetic algorithm theory, the solution process is planned, and the responding programmer is designed. Finally, combined with an example, a weapon system is analyzed. At the same time, the model is established and parameters are calculated with data. The result shows that the method is effective for the nonlinear optimization problem, and offers lessons for solution of other nonlinear optimization problems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
**ng YY, Wu XY (2005) Survey of reliability index verification methods for military equipment (in Chinese). Control Technol Tactical Missile (51st ed) 4:69–73
Bai L (2007) A Bayes method for reliability evaluation (in Chinese). Equal Reliab (129th ed) 3:20–23
Zhang SF, Li R, Fan SJ (2000) A summary of the research on Bayesian verification method (in Chinese). J. Spacecraft TT&C Technol (2nd ed) 19:28–34
Feng GB, Qian LF, Yu CG (2003) Reliability evaluation of rocket missile launching system (in Chinese). J Ballistics (1st ed) 15:41–45
Cheng L, Tong L (2009) A measurement data entropy method (in Chinese). J Electron Meas Instrum (23rd ed) 1:47–51
Tang XM, Zhang JH (2001) Test analysis and evaluation of weapon system in small-sample circumstances (in Chinese), vol 1. National Defense Industry Press, Bei**g
Sidall N (1992) Probabilistic engineering design. Marcel Dekker, New York
Wu Y, Li YL, Hu QJ (2008) The application of mathematical statistics (in Chinese), vol 7. National University of Defense Technology Press, Changsha
Kang WX, Gu XS, Huang XL (2007) Bootstrap maximum entropy method application in estimating Fall-probability of missiles under small-sampling condition (in Chinese). J Acad Equipment Command & Technol (3rd ed) 18:109–113
Zhou M, Sun SD (2000) Genetic algorithms: theory and application (in Chinese), vol 2. National Defense Industry Press, Bei**g
Zeng SK, Zhao TD, Zhang JG (2006) Reliability analysis and design (in Chinese), vol 1. Bei**g University of Aeronautics and Astronautics Press, Bei**g
Yang WM (1995) The introduction of reliability, maintenances, and supportability (in Chinese). National Defense Industry Press, Bei**g
Li XH (2006) Matlab application (in Chinese). Electronics Industry Press, Bei**g
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dong, Q., Xu, T., Yang, J., Zhou, Z. (2014). Research on Nonlinear Optimization Problem Based on Genetic Algorithm Theory. In: Wang, J. (eds) Proceedings of the First Symposium on Aviation Maintenance and Management-Volume I. Lecture Notes in Electrical Engineering, vol 296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54236-7_58
Download citation
DOI: https://doi.org/10.1007/978-3-642-54236-7_58
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54235-0
Online ISBN: 978-3-642-54236-7
eBook Packages: EngineeringEngineering (R0)