DocumentCode :
691611
Title :
Structural Reliability Analysis Based on Imperialist Competitive Algorithm
Author :
Hao Yan ; Meng Guang-Wei ; Zhou Zhen-Ping ; Li Feng
Author_Institution :
Coll. of Mech. Sci. & Eng, Jilin Univ., Changchun, China
fYear :
2013
fDate :
6-7 Nov. 2013
Firstpage :
570
Lastpage :
574
Abstract :
A structural reliability analysis model based on the imperialist competitive algorithm (ICA) is proposed. The reliability index defined by Hasofer and Lind is usually solved by iteration methods, or Monte Carlo simulation in practical work. However, it can also be expressed as a nonlinear constraint optimization problem. The ICA is a socio-political evolutionary algorithm which is good at finding the global optimum without the computation of gradients. This model uses the penalty function method to deal with the constraint function which is changed from the equality constraint to the inequality one. Two numerical examples verify the high precision and good feasibility of the model.
Keywords :
Monte Carlo methods; evolutionary computation; optimisation; reliability; structural engineering; ICA; Monte Carlo simulation; constraint function; equality constraint; imperialist competitive algorithm; iteration methods; nonlinear constraint optimization problem; penalty function method; reliability index; socio-political evolutionary algorithm; structural reliability analysis model; Algorithm design and analysis; Indexes; Random variables; Reliability engineering; Safety; Vectors; Fusing Frame Images; dynamic gesture recognition; human-computer interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Engineering Applications, 2013 Fourth International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4799-2791-3
Type :
conf
DOI :
10.1109/ISDEA.2013.535
Filename :
6843512
Link To Document :
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