An Effective Evolutionary Algorithm for Analyzing a Realiability of Geotechnical Engineering

Abstract:

Article Preview

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:

Edited by:

Paul P. Lin and Chunliang Zhang

Pages:

1528-1533

DOI:

10.4028/www.scientific.net/AMM.105-107.1528

Citation:

W. Zeng et al., "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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Price:

$35.00

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