APPLICATION OF INTELLIGENT SINGLE PARTICLE OPTIMIZER WITH SIMULATED ANNEALING MECHANISM TO SEARCHING FOR CRITICAL SLIP SURFACE OF COMPLEX SLOPE

More than one local minimum of the factor of safety can be encountered in stability analysis of complex slopes. So, how to obtain minimal factor of safety remains a significant issue in stability analysis of complex slopes. Based on simplified Bishop method, a new heuristic global optimization algorithm called Intelligent Single Particle Optimizer (ISPO) is proposed to search for the critical slip surface of complex slope in this paper. The simulated annealing mechanism is considered so as to help ISPO to escape from local minimums quickly. The ISPO with simulated annealing (SA) mechanism combines the merits of the two algorithms. The proposed algorithm is applied to searching for the critical slip surfaces of two complex slopes in the paper. Comparing with other methods, the results demonstrate that the combined SA-ISPO algorithm has sufficient calculating precision and stability, as well as high searching efficiency. And also the SA-ISPO has efficient global searching ability because the result is independent of searching range.