A Genetic Algorithm Application to Minimize Pig Iron Cost

Abstract

A new mathematical model for sinter ingredients and BF burdens optimization was proposed aiming to reduce hot metal cost, considering the binary basicity (CaO/SiO₂) and molar ratio of MgO/Al₂O₃ of blast furnace slag, sinter composition as the constraints. To solve the optimization model, Genetic algorithm was adopted. The results of the examples indicate that the model is effective to reduce hot metal cost while guaranteeing properties of sinter and BF slag. And the minimum cost of hot metal is attained in optimizing both of sinter ingredients and BF burdens at the same time.