Only the high speed of Java's DW-BEL favored the short time coevolution of several criteria by one-by-one molecular checking tens of thousands of raw children. Only those children predicting maximal fittings were selected for the next iteration cycle. To avoid structure repetitions among the selected children, 10-50 Gb of RAM memory were required to keep track of all the numerous children generated, depending on the particular target / parent, number of runs, cycles, generations, etc. Iterations were automatically repeated from each parent during a number of cycles until their fitness to the user-defined criteria reached a plateau. Because of their stochastic nature, independent runs should be consecutively repeated from the same parent to increase prediction accuracies.