Integrated optimization model for alloy addition of basic oxygen furnace based on Particle Swarm Optimization

Author

Han, Min ; Xu, Qiao

Author_Institution

Fac. of Electron. Inf. & Electr. Eng., Dalian Univ. of Technol., Dalian, China

fYear

2010

fDate

10-13 Oct. 2010

Firstpage

4257

Lastpage

4262

Abstract

In the process of BOF(basic oxygen furnace) steelmaking, in order to figure out and optimize the amount of alloy addition during deoxidizing and alloying of tapping, optimization model of this process is very indispensable. For this reason, multi-objective optimization model of alloy addition is developed. Firstly, the prediction model of ladle element content is established with Support Vector Machine. One objective function of multi- objective problem is the error between regulations and the result of the prediction model, the other objective function is the cost of alloy addition. And the alloy addition is optimized with modified dynamic neighborhood multi-objective Particle Swarm Optimization so as to compute the Pareto optimal solution set effectively. The final amount of alloy added is decided according to the practical need.

Keywords

Pareto optimisation; alloys; furnaces; particle swarm optimisation; support vector machines; Pareto optimal solution; alloy addition; integrated optimization model; multi objective optimization; oxygen furnace; particle swarm optimization; prediction model; support vector machine; Manganese; Optimization; Alloy addition; Multi-objective Optimization; Particle Swarm Optimization; Support Vector Machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1062-922X

Print_ISBN

978-1-4244-6586-6

Type

conf

DOI

10.1109/ICSMC.2010.5642484

Filename

5642484