关键词: 临界滑动面, 遗传算法, 蚁群算法, 优化, 安全系数, 连续空间

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