Sammanfattning
Some existing work on optimizing the operational cost of the primary end of an integrated steel plant containing two blast furnaces utilizing both pellets and sinters, an electric furnace and a basic oxygen furnace was further advanced using a multi-objective genetic algorithm, along with a Nash equilibrium analysis. The new formulation was able to improve the earlier results very significantly, suggesting the efficacy of the multi-objective approach over the more conventional single objective genetic algorithms.
Originalspråk | Odefinierat/okänt |
---|---|
Sidor (från-till) | 459–461 |
Antal sidor | 3 |
Tidskrift | Steel Research International |
Volym | 77 |
Nummer | 7 |
Status | Publicerad - 2006 |
MoE-publikationstyp | A1 Tidskriftsartikel-refererad |
Nyckelord
- genetic algorithms
- ironmaking
- multi-objective optimization
- Nash equilibrium
- Pareto front