Hyper-heuristic

A hyper-heuristic is a high-level algorithm designed to select or generate heuristic algorithms to solve combinatorial optimization problems. Unlike traditional heuristics, which are problem-specific techniques that provide quick and approximate solutions, hyper-heuristics operate at a higher level of abstraction. Here are some key points about hyper-heuristics: 1. **Meta-Level Search**: Hyper-heuristics search through a space of heuristics (or heuristic components) rather than the solution space of the problem itself.