Optimization of Coal Blending in Coal Preparation Production Based on Improved Genetic Algorithm
Product quality control is an important means for the sustainable development of coal preparation plant.In order to improve the technical level of coal preparation process,enhance the product competitiveness of coal preparation plant,improve economic benefits and reduce resource waste,taking Shanxi Huatai Coal Washing Plant as an example,the traditional coal blending method was optimized and a new process parameter optimization model was established based on annealing algorithm and genetic algorithm.The results show that the optimization of coal blending in coal preparation production based on improved genetic algorithm significantly improves the efficiency of coal preparation,and adjusting the model parameters helps to wash the raw coal with different coal quality characteristics from different coal sources in different coal preparation plants.
coal preparation plantwashing processmathematical modelannealing algorithmgenetic algorithmprocess parameter optimization model
万方数据
维普
