Operadores genéticos y de búsqueda aleatoria aplicados a tareas de selección de materiales de revestimiento para cucharas metalúrgicas

The selection of refractory lining of the ladles for steel casting has been based, until the present, in the metallurgy technologists’ practical criteria. In this article the compared application of two search operators of materials options selection by zones inspired in the Evolutionary Multiple Objectives Algorithms for the treatment of the task of materials selection according to the adopted decomposition outline, is firstly reflected in the specialized bibliography. The numerical validation of the behavior of different indicators of both operators, as well as the comparison of their gain, efficiency and obtained solutions quality in the computational executions of both algorithms is carried out. These operators were implemented under the concept of the Integration of Variables method. Particularly, the Random Search of a Variable Code operator and a Not-Dominated Sorting Genetic Operator, based on elitist genetic algorithm NSGAII applied to the studied task are used.