| Autor: |
Kacprzyk, Janusz, Corchado, Emilio, Corchado, Juan M., Abraham, Ajith, Hernández Carreón, Carlos A., Fraire Huacuja, Héctor J., Fernandez, Karla Espriella, Valdez, Guadalupe Castilla, Mancilla Tolama, Juana E. |
| Zdroj: |
Innovations in Hybrid Intelligent Systems; 2008, p247-254, 8p |
| Abstrakt: |
This paper presents an application of a genetic algorithm (GA) to the scheduling of hot rolling mills. The objective function used is based on earlier developments on flow stress modeling of steels. A hybrid two-phase procedure was applied in order to calculate the optimal pass reductions, in terms of minimum total rolling time. In the first phase, a non-linear optimization function was applied to evaluate the computational cost to the problem solution. For the second phase, a GA was applied. A comparison with two-point and simulated binary (SBX) crossover operators was established. The results were validated with data of industrial schedules. A GA with SBX crossover operator is shown to be an efficient method to calculate the multi-pass schedules at reduced processing time. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
|
