Research on Lifetime Grey Prediction of Electronic Equipment Based on Improved Genetic Algorithm

Author

Jing Li ; Xiao-dong Mu ; Shuai Zheng ; Jing Mao

Author_Institution

Xi´an Res. Inst. of Hi-Tech Hongqing Town, Xi´an

fYear

2009

fDate

22-24 Jan. 2009

Firstpage

493

Lastpage

496

Abstract

Grey theory has been applied widely in the field of prediction and decision, but model precision is influenced extremely by sequence smooth degree, boundary condition and background value. Genetic algorithm has well effect in searching for best result because it is an effective way. The paper advances a new method, sin function is used to deal with sequence, and genetic algorithm is used to optimize the boundary value and background value of GM(1,1) model. It has been shown that the improved model is better through predicting the lifetime of electronic equipment on the missile.

Keywords

genetic algorithms; grey systems; operations research; reliability theory; remaining life assessment; boundary condition; electronic equipment; improved genetic algorithm; lifetime grey prediction; sequence smooth degree; sin function; Accuracy; Algorithm design and analysis; Biochemistry; Boundary conditions; Cities and towns; Electronic equipment; Genetic algorithms; Missiles; Optimization methods; Predictive models; 1) Model; Background Value; Boundary Value; Electronic Equipment; Genetic Algorithm; Metabolism GM(1;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control, 2009. ICACC '09. International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-3330-8

Type

conf

DOI

10.1109/ICACC.2009.61

Filename

4777391