Juana E. Mancilla Tolama

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This paper presents an optimization approach to deal with the problem of minimizing the hot rolling time of a steel slab. Unlike traditional approaches, this work also considers the chemical composition of the steel slab as a parameter, allowing the automatic setup for different steels of the hot rolling mill. To validate the approach discussed here, a(More)
The problem of Scheduling Hot Rolling Pass of Steels is very complex because it has large spaces search for solutions. The aim of this work was the Multi-Objective Optimization (MOO) of hot rolling steel sheets in a finishing train of six steps, implementing the second generation of Nondominated Sorting Genetic Algorithm (NSGA-II). It was used two different(More)
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