|Table of Contents|

Improved Firefly Optimization Algorithm for Location of Minimum Factor of Safety Considering Spatial Variability(PDF)

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

Issue:
2018年06期
Page:
94-101
Research Field:
Publishing date:

Info

Title:
Improved Firefly Optimization Algorithm for Location of Minimum Factor of Safety Considering Spatial Variability
Author(s):
CHU Xue-song LI Liang
School of Civil Engineering, Qingdao University of Technology
Keywords:
slope stability firefly algorithm safety factor reliability failure mechanism
PACS:
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DOI:
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Abstract:
The short-sighted strategy was introduced into the original firefly algorithm, and a typical short-term stability problem of undrained slope was considered. The random field of corresponding parameters was constructed considering the spatial variability of soil material. Finally, the influence of the number of firefly individuals N?and the moving step β on the search efficiency of the algorithm was discussed. The results show that under the same other conditions, the standard deviation of the firefly algorithm results with the shortsighted strategy is smaller than that of the firefly algorithm without the short-sighted strategy, which indicates that the short-sighted strategy can improve the searching ability of the algorithm. Increasing the number of firefly individuals N will also improve optimization ability of the algorithm, but the calculation time T of the algorithm is proportional to N2.1?From the point of view of the average safety factor, the reasonable value of the moving step β is between 0 and 2. Under the same parameters, the standard deviation of the safety factor searched by the firefly algorithm with larger fluctuation range is smaller than that with smaller fluctuation range. It is proved that the complexity of the optimization problem of minimizing the safety factor of slope stability decreases with the increase of the fluctuation range. Considering the spatial variability characteristics of soil materials, the parameters or different optimization algorithms should be transformed to ensure finding the minimum safety factor and instability mode.

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Last Update: 2018-11-22