Optimización de Residuos Mineros de Carbón para el Mejoramiento de Suelos Viales con Algoritmos Evolutivos Multiobjetivo.

In this study a Multi-Purpose Evolutionary Algorithm (AEMO) was developed to determine the optimum mixtures of these materials with lime and cement to use these mixtures as construction material. The objective is to compensate for the environmental impact of the extraction of these materials of carbon open mines, applying the mixtures to stabilize roads. Two objective functions were established: to maximize soil support capacity and minimize costs, with restrictions associated with granulometry, plasticity and additive costs. It is shown that these materials can be used for bond material, subbase and/or fill with a pre-treatment of the granulometry and an adjustment of the percentages of the lime. (between 2 and 4 %) and cement (less than 1%) by applying the AEMO, leaving the California Bearing Ratio (CRB) and plasticity index within the appropriate range. [ABSTRACT FROM AUTHOR]