Learning Decision Rules for scheduling Problems: A Classifier Hybrid Approach

ABSTRACT A series of experiments to learn general rules for simple job shop scheduling tasks suggest that the classifier system may work best as a component of a larger system. Preliminary results demonstrate the system's ability to learn binary decision rules as a component of a sorting routine.