 The hypothesis generation operator applies a machine learning program to induce descriptions that distinguish between high-fitness and low-fitness individuals in each consecutive population.Such descriptions delineate areas in the search space that most likely contain the desirable solutions.Subsequently the instantiation operator samples these areas to create new individuals.