Un algoritmo multi-objetivo NSGA-II para la programación de los pasos de laminación en caliente de aceros

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… CONTINUE READING