Figure 2From: An adaptive genetic algorithm for selection of blood-based biomarkers for prediction of Alzheimer's disease progressionA diagram representing a typical GA. Each solution (individual) within a generation is evaluated until the target solution is found. New generation of the population is produced using selection, crossover, and mutation operators that create new solutions. The "best" solution is returned when fitness function reaches target value.Back to article page