DocumentCode
2480177
Title
Spare Optimization Using Genetic Algorithms
Author
Zou Xiaoli
Author_Institution
Dept. of Civil Eng., Wuhan Polytech. Univ., Wuhan, China
fYear
2010
fDate
22-23 May 2010
Firstpage
1
Lastpage
4
Abstract
Spare optimization models for systems with components connected in series and parallel are presented. The component availability at any time is obtained through Poisson process theory and the availability of the series-parallel system is written by system reliability analysis method. The objective of the optimization problem is to maximize the availability of the system satisfying the constraint on cost. Genetic algorithms are used to find the optimal amount of spares for each component. Finally, two illustrative examples are given.
Keywords
genetic algorithms; stochastic processes; Poisson process theory; genetic algorithms; series-parallel system; spare optimization models; system reliability analysis method; Aerospace industry; Availability; Civil engineering; Constraint optimization; Dynamic programming; Genetic algorithms; Linear programming; Reliability; Space technology; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5872-1
Electronic_ISBN
978-1-4244-5874-5
Type
conf
DOI
10.1109/IWISA.2010.5473367
Filename
5473367
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