›› 2009, Vol. 30 ›› Issue (11): 3486-3492.

• Numerical Analysis • Previous Articles     Next Articles

Hybrid of ant colony algorithm and genetic algorithm and its application to searching critical slope slip surface

SHI Lu，LI Xiao-chun，REN Wei，FANG Zhi-ming   

  1. State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China
  • Received:2008-12-04 Online:2009-11-10 Published:2010-01-07

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Abstract:

Searching critical slip surface is very necessary in slope stability analysis. Noncircular slip surface search is a multi-dimensional optimization problem to find out several control points, and more complex than searching circular slip surface, in which only center and radius of circular slip surface need to be determined. Common optimization methods can not search critical noncircular slip surface very well due to the complexity of the problem. To overcome the multiple redundancy and low efficient solving of genetic algorithms as a result of no feedback ability, as well as low speed of ant colony algorithms owing to absence of original pheromone, a modified ant colony algorithm has been improved, which is capable of searching in continuous space, to integrate with genetic algorithm to complement each other’s advantages. Finally, a suppositional example calculated by text-mentioned methods and GEO-SLOPE, is illustrated to explain effectivity of the algorithm.

Key words: critical slip surface, genetic algorithm, ant colony algorithm, optimization, factor of safety, continuous space

CLC Number: 

  • TU 457
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