Also known as: Hyper heuristic
A hyper-heuristic is a search or optimization method that selects, combines, generates, or adapts lower-level heuristics. Rather than solving only one specific problem directly, it aims to automate problem-solving strategies across a wider class of computational tasks.
A heuristic search method that seeks to automate the process of selecting, combining, generating, or adapting several simpler heuristics (or components of such heuristics) to efficiently solve computational search problems, often by the incorporation of machine learning techniques. One of the motivations for studying hyper-heuristics is to build systems which can handle classes of problems rather than solving just one problem.