Application of Improved Artificial Fish Swarm Algorithm to Slope Stability Analysis

Abstract:

The Sweden method of slices is used as the data model for slope stability analysis and a new searching method for slope stability analysis is presented. This method, named SAA_IAFSA in this paper uses the artificial fish-swarm algorithm based on simulated annealing algorithm to search the critical failure surface and minimum safety factor. This method can overcome the disadvantages of traditional optimization method such as easy to fall into local extreme points with high accuracy, applicability, and can get a more accurate global optimal solution. Finally, the feasibility and effectiveness of the new approach is verified by practical problem. The experimental results show that the proposed algorithm is significantly superior to original AFSA, with wide application.

• Periodical: Advanced Materials Research (Volumes 532-533)
• Pages: 1861-1866
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.532-533.1861
• Online since: June 2012
• Authors: Jia Liu, Jing Li, Jun Yi Huo, Li Na Liu
• Keywords: Artificial Fish-Swarm Algorithm (AFSA), Minimum Safety Factor, Simulated Annealing Algorithm, Slope Stability Analysis

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