GARP (Genetic Algorithm for Rule-set Production)

GARP (Genetic Algorithm for Rule-set Production) is a computer-based method used to identify patterns and make predictions from complex data, often in ecological and environmental modeling. It mimics natural evolution by generating multiple rule sets, then selecting, combining, and refining them over successive generations. This process helps find the most effective rules to distinguish specific conditions or behaviors, such as where a species might live. Essentially, GARP uses a simulated "survival of the fittest" to develop accurate, robust models from diverse data inputs.