Sintering Proportioning Optimization: Use LP and GA-CSO

摘要

The development of industry has promoted the progress of science and technology, and steel production is the basis of industrial development. With the progress of science and technology, the excessive consumption of global resources and environmental problems are becoming increasingly serious. As one of the important processes in iron and steel production, sintering has a large demand for raw materials containing iron ore and it has a high production cost. On the basis of reaching the range of technological standards, it is of great significance to study the batching scheme that can meet the requirements of technological indexes.Based on the analysis of the characteristics of sintering burdening process and the study of sintering burdening process, an optimization model of sintering primary and secondary burdening based on linear programming (LP) was established. Not only was the mathematical model devoted to reducing the total cost of sintering, but it also tried to reduce the emission of sulfur-containing substances. At the same time, it was restricted by the chemical composition index. After analyzing the batching process, this paper proposes a combination of genetic algorithm and the chicken swarm algorithm, analyzes its working process, and proves that the improved genetic chickens hybrid algorithm has stronger optimal through the test function. The genetic chickens hybrid algorithm based on linear programming is used in the first and second ingredients optimization of sintering process, and then it is compared with other ways in terms of reducing the cost of sintering and reducing emissions of sulphuric materials. The results show that it is feasible in theory and reliable in practice to apply the intelligent hybrid optimization algorithm to sintering proportioning optimization.