Multiple-objective Optimization on Blast Furnace Process
Systems Engineering - Theory & Practice
1994, 14 (11):
In this paper,an ironmaking optimization model described the characteristics of blast furnace ironmaking process with 56 constraints and three objective functions which are produc-tivity,hot metal cost and coke ratio.The non-linear relations were expressed by combining of the optimum variables and state variables,and calculated with the iterated concord method.In addition,a sensitivity analysis approach was built up for the blast furnace ironmaking optimiza-tion,and the multiple objectives were treated with the linear weighted method.The applications showed that the optimization model could run not only with single objective,but also with multi-ple objectives,thus,the model could meet various demands in different operation conditions,and the optimum results were of good guidance for the blast furnace operation.
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