Title :
Spare Optimization Using Genetic Algorithms
Author_Institution :
Dept. of Civil Eng., Wuhan Polytech. Univ., Wuhan, China
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;
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
DOI :
10.1109/IWISA.2010.5473367
