CHAOS OPTIMIZATION ALGORITHM APPLIED IN STABILITY ANALYSIS OF SOIL SLOPE

A key problem in the reinforcement design of soil slope is how to determine the most dangerous sliding circle surface and calculate the minimum safety factor. The traditional optimization algorithm is very easy to fall into the local minimum and not find the real most dangerous sliding circle surface. And some optimize effect of the intelligent optimization algorithm is not very satisfactory because of their immature. For this reason, a new intelligent optimization algorithm is developed for searching the optimal solution. It is the chaos optimization algorithm combinating the Bishop method. Chaostic movement has its inherent characteristics, ergodicity, randomness and regularity. The optimization algorithm adopts these inherent characteristics to loop through all the state and get out of the local optimal solutions. It has a strong global search capability. The engineering application case indicates that the chaos optimization algorithm can get the optimization result, and the genetic algorithm and improved simulated annealing algorithm can not successfully solve the problem. Comparison to the enumeration method indicates that the chaos optimization algorithm is a reliability method. The chaos optimization algorithm can successfully solve the problem that how to search the best solution of soil slope. It is expected that the chaos optimization algorithm would be widely used in slope engineering.