DocumentCode :
2701648
Title :
Reliability optimization of complex weapon system using Particle Swarm Optimization algorithm
Author :
Wang, Jiancheng ; Li, Quan ; Qiu, Hui ; Chen, Jianming
Author_Institution :
Acad. of Equip., Beijing, China
fYear :
2012
fDate :
15-18 June 2012
Firstpage :
1135
Lastpage :
1137
Abstract :
To ensure the reliable use and to increase the ratio of cost to efficiency of the complex weapon system in the war, the reliability optimization of complex weapon system has received considerable study interest. Unfortunately, this kind of optimization problem usually belongs to the catalog of nonlinear optimization with multiple local extreme values. To make use of the global searching ability in optimization problem of this kind, Particle Swarm Optimization (PSO) is utilized in this paper to solve the complex weapon system reliability optimization problem. The general process of PSO algorithm is provided and implemented using advanced programming language. The simulation results show that PSO is an effective algorithm, and has obtained solution with the highest precision in solving the same problem as cited in the published literatures pertaining to optimizing complex weapon system reliability.
Keywords :
high level languages; military computing; particle swarm optimisation; reliability; simulation; weapons; advanced programming language; complex weapon system; particle swarm optimization algorithm; reliability optimization; simulation; Algorithm design and analysis; Genetic algorithms; Optimization; Particle swarm optimization; Power system reliability; Reliability; Weapons; complex weapon system; global optimization; local best; particle swarm optimization; reliability optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
Type :
conf
DOI :
10.1109/ICQR2MSE.2012.6246421
Filename :
6246421
Link To Document :
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