By Topic

Reliability optimization of complex weapon system using Particle Swarm Optimization algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jiancheng Wang ; Acad. of Equip., Beijing, China ; Quan Li ; Hui Qiu ; Jianming Chen

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.

Published in:

Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on

Date of Conference:

15-18 June 2012