Linking chemical knowledge and genetic algorithms using two populations and focused multimodal search

Selected variables were used to implement a screening procedure to ascertain the amount of pure apple juice in commercial beverages employing backpropagation artificial neural networks (ANNs). The influence of each GA on the classification results was evaluated following a twofold approach. First, the GAs were coupled to an ANN with a fixed topology so that the differences on the classifications depended (mainly) on the GA-selected variables. Second, the ANNs were optimized and the overall GA-ANN models compared.