There are several disadvantages when using the determination method for coal blending

such as complicated operation

lag information and rough blending scheme.Therefore

by combiring the BP network

uniform design and genetic algorithm

a multi-objective genetic algorithm optimization model was established

to get coal blending optimization solution faster.The model employs the BP neural network to determine the nonlinear relationship between the blending coal and single coal during the learning process

the uniform design to establish fitness function

and the genetic algorithm to optimize.The results proved that the prediction model has high reliability and confidence.