The invention relates to the field of
coal blending, particularly to an optimization method of a blending rate of
coal for coking based on the modified
differential evolution algorithm. The optimization method is combined with the requirements of the technology of
coal blending for coking, an optimization model of a
coal blending ratio, which uses the
mass of blended coal and the
mass of
coke as constraint conditions and uses
coal blending cost as an objective function, is established according to the non-
linear relationship between single coal and blending coal, and between blending coal and
coke, and the
mass index of each single coal. The optimization method further provides a modified
differential evolution algorithm so as to perform optimization solution on the model. The optimization method disclosed by the invention is reliable and stable, is high in calculating precision, and is fast in convergence. Through the adoption of the optimization method, the problem that the accuracy of the blending rate confirmed by manual work in the prior art during
coal blending for coking is not high is effectively solved, so that when the demands of users for the mass of
coke are guaranteed, the coal blending cost is reduced to the maximum extent.