Parameter Estimation of Trailing Suction Hopper Dredger Dredging Model by GA

摘要

The trailing suction hopper dredger dredging model contains many parameters related to the soil types. And the parameters have big difference under different soil conditions. In this paper, genetic algorithms are used to estimate the parameters associated with soil type in a hopper dredger dredging model. The results were compared with the actual monitoring data, and the optimal parameter estimating values were obtained. The example showed that this approach of parameter estimation, based on genetic algorithms, is applicable.