By Lanfeng Yan, Janjun Ma, Wei Wang, Qing Liu, Qiuyong Zhou (auth.), De-Shuang Huang, Xiao-Ping Zhang, Guang-Bin Huang (eds.)
The foreign convention on clever Computing (ICIC) was once organize as an annual discussion board devoted to rising and not easy issues within the a variety of elements of advances in computational intelligence fields, equivalent to synthetic intelligence, computer studying, bioinformatics, and computational biology, and so on. The aim of this convention was once to assemble researchers from academia and in addition to practitioners to percentage rules, difficulties and ideas relating to the multifaceted points of clever computing. This booklet constitutes the court cases of the foreign convention on clever Computing (ICIC 2005), held in Hefei, Anhui, China, in the course of August 23–26, 2005. ICIC 2005 obtained over 2000 submissions from authors in 39 international locations and areas. according to rigorous peer experiences, this system Committee chosen 563 top quality papers for presentation at ICIC 2005; of those, 215 papers have been released during this ebook equipped into nine different types, and the opposite 348 papers have been released in 5 overseas journals. The organizers of ICIC 2005 made nice efforts to make sure the luck of this convention. We right here thank the individuals of the ICIC 2005 Advisory Committee for his or her counsel and recommendation, the individuals of this system Committee and the referees for reviewing the papers, and the contributors of the book Committee for checking and compiling the papers. we might additionally prefer to thank the writer, Springer, for his or her help in publishing the complaints within the Lecture Notes in machine technological know-how sequence. fairly, we wish to thank the entire authors for contributing their papers.
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Additional info for Advances in Intelligent Computing: International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part I
Monte Carlo method can always produce good 28 W. Jiang, Y. Xu, and Y. Xu x2 Safety G1(X) G2(X) x1 Fig. 4. FOSM Error results as long as the number of the samples is enough, which results in expensive computational efforts. Importance sampling method can reduce the number of samples a lot by introducing the importance sampling probability density function, however, the design point should be determined at first. In reliability analysis, two standard indices are used; the probability of failure and the reliability index.
This is done by utilizing a linear representation of a limit state function by way of its first two moments, the mean and standard deviation. Hasofer and Lind defined reliability index as the shortest distance from the origin to the limit state surface, which can be expressed as Research on Reliability Evaluation of Series Systems with Optimization Algorithm ⎛ n ⎞ ⎝ i =1 ⎠ β = min ⎜ ∑ y i2 ⎟ subject to space, 23 1/ 2 = min( y T • y ) 1 / 2 , (7) G ( y ) = 0 ,where G ( y ) is the limit state function in standardized normal yi is the independent random variable of standard normal distribution on the limit state surface.
A set of N uniformly spread points along this line are to be replaced by a new set of N points along the same line in diﬀerent locations (see Fig. 1(b)) owing to the uniform angle sampling of the new rays. Circle the Squares: In order to obtain concentric circles as required in the polar coordinate system, we need to circle the squares. This is done by dividing each ray by a constant spacing, based on its angle, and therefore a function of the parameter l, being R[l] = (1 + tan2 (πl/2N ))1/2 . The resulting grid is given by N N ≤l< − 1, 2 2 (18) s s πl N N BH2 = ,− tan , −N ≤ s < N − 1, − ≤ l < − 1.