The application of joint simulated annealing and genetic algorithm to coal field

摘要

In order to escape from local minima genetic algorithm and simulated annealing are combined in the paper. We apply global optimization of non-linear algorithm and correct the defect of local search method that is based on traditional gradient algorithm. In the meantime in order to decrease the compute time of global search and accelerate convergence, we apply the conjugate gradient to move faster to the bottom of the valley when the global-seeking method finds the valley of global minimum. Finally we apply the studied global technique to inverse the actual data of one coal field and obtain good results.