SLOPE STABILITY ANALYSIS BY VARIATIONAL METHOD WITH GENETIC ALGORITHM APPLICATION PART 4 : PARALLEL GENETIC ALGORITHMS

摘要

The advantages of the parallelism of genetically controlled slope stability evaluations are presented in the paper. The determination of the general solution, taking into account the minimization of R and T functions using multicriterial optimization method, is described. The calculations were performed on a cluster of computers using the Parallel Virtual Machine and the Parallel Genetic Algorithm. The efficiency and accuracy of calculations based on synchronous and parallel information processing were analyzed by comparisons to the best solution obtained for the examplernof slope, presented in the previous part of this paper.