Culling the population is important in evolutionary algorithms, but that doesn't mean that the chromosomes that are culled need to be discarded entirely. Each chromosome that has been evaluated by the fitness function represents some information that has been gained at considerable expense. Learning algorithms may benefit from negative examples as well as positive examples, so preserving this information may be worthwhile.