GARP (Genetic Algorithm for Rule-set Prediction)

GARP (Genetic Algorithm for Rule-set Prediction) is an advanced computational method used to predict patterns—such as where species might live—by mimicking natural evolution. It starts with a diverse set of rules and iteratively improves them by selecting the best-performing rules, combining them, and introducing slight modifications, much like genetic crossover and mutation. Over successive generations, GARP refines these rules to produce accurate predictions. It's particularly useful in ecological modeling, helping scientists understand potential species distributions based on environmental data, all while adapting to complex, real-world variables efficiently.