Paper Title:
An Effective Evolutionary Algorithm for Analyzing a Realiability of Geotechnical Engineering
  Abstract

The reliability index is not only nonlinear but also continuous, so we design the real coded genetic algorithm to improve the performance of the algorithm. The experimental results indicate that our method is 10 times faster than the binary-coded genetic algorithm, more accurate and stable than other methods.

  Info
Periodical
Chapter
Chapter 6: Geotechnical Engineering
Edited by
Paul P. Lin and Chunliang Zhang
Pages
1528-1533
DOI
10.4028/www.scientific.net/AMM.105-107.1528
Citation
W. Zeng, K. Wen, B. Q. Zhao, G. C. Zhang, S. Y. Zeng, "An Effective Evolutionary Algorithm for Analyzing a Realiability of Geotechnical Engineering", Applied Mechanics and Materials, Vols. 105-107, pp. 1528-1533, 2012
Online since
September 2011
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