Inversion of mechanical parameters of high central core rock-fill dam based on modified genetic crossover operator

A modified adaptive genetic crossover was provided to solve the multi-variable complex problem based on the difference of gene fragment (DGFX). In the modified crossover, the length of gene fragment was randomly determined and the difference of each gene fragment was calculated firstly. Then, the crossover point was selected according to the differences of gene fragments, which reduced the inbreeding and invalid crossover operator, and the global search capability of the algorithm was increased by the tragedy of adaptive length index. The proposed crossover was compared with two existing crossover operators (DPX and HX). A set of nonlinear test problems were used to verify the performance of the novel crossover operator. The results show that the performance of proposed crossover operator is better than or similar to those of other crossover operators and is especially effective in solving high-dimensional nonlinear problems. Then the new crossover is applied to parameters inversion of mechanical parameters of rockfill. At last, the calculated parameters are used to forecast the settlement of the monitoring points of Pubugou central core rock-fill dam. The forecasted values agree well with the measured data, which indicates that the DGFX crossover operator can be well applied to parameter inversion of complex model. © 2016, Central South University Press. All right reserved.