Hyper-Heuristics are methods to choose and combine heuristics to generate new ones. In this work, we use a grammar-based genetic programming system as a Hyper-Heuristic framework. The framework is used for evolving effective incremental solvers for SAT (Inc*). Tests against well-known local search heuristics on a variety of benchmark problems reveal that the evolved heuristics are superior. Categories and Subject Descriptor