基于蚁群算法的土石坝土体参数反演

INVERSING SOIL MECHANICAL PARAMETERS OF EMBANKMENT DAM USING ANT COLONY ALGORITHM

介绍了新近为求解复杂组合优化问题而提出的蚁群算法。将蚁群算法运用于土石坝土体参数反演问题的求解:先对反演参数的搜索空间进行离散,将参数反演问题转化成一个组合优化问题;再针对土体参数反演问题的特点,改进蚁群算法,并将其用于土体参数的反演计算。算例表明,改进蚁群算法可有效求解土石坝土体参数反演问题。

The principle and the main characteristics of ant colony algorithm (ACA), a new simulating evolutionary algorithm proposed recently for solving hard combinatorial optimization problems, are introduced. For the purpose of applying ACA to the soil mechanical parameters inversion of embankment dam, the search space of parameters to be inversed is discretized and the inversion problem is transformed into a combinatorial optimization problem. And then ACA is modified by replacing tour length and visibility in ACA with objective function value and standard deviation of objective function value, respectively. At last, the modified ACA is implemented to inverse the soil mechanical parameters of an embankment dam. The results of a simple example show that modified ACA can solve the inversion problem efficiently.