Title :
Reliability design optimization of gravity dam section based on PSO
Author :
Xin Miaowu ; Qie, Zhi-Hong ; Zhang, Zhi-Yu ; Li, Song-Hui
Author_Institution :
Coll. of Urban & Rural, Hebei Agric. Univ., Baoding, China
Abstract :
Reliability design optimization method of gravity dam section is put forward in this paper. Considering the failure probability of gravity dam is very small required in specification, the Markov chain Monte Carlo (MCMC) method and subset theory are combined and applied to calculate the reliability of gravity dam. The minimization of initial cost and failure cost of gravity dam is optimization objective. In addition, the particle swarm optimization (PSO) is introduced to get the optimization design project of gravity dam section.
Keywords :
Markov processes; Monte Carlo methods; costing; dams; design engineering; gravity; reliability; set theory; Markov chain Monte Carlo method; gravity dam section; optimization design project; particle swarm optimization; reliability design optimization method; subset theory; Cybernetics; Design optimization; Gravity; Machine learning; markov chain monte carlo; particle swarm optimization; reliability design optimization; subset theory;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212259
