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Hyper-heuristic

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TL;DR. An automated method that combines or adapts simpler heuristics to solve complex search and optimization problems.

Technical Definition

An automated method that combines or adapts simpler heuristics to solve complex search and optimization problems.

How it works

Hyper-heuristics are meta-level approaches that automate the process of selecting, sequencing, or adapting simpler heuristics. The goal is to create more general problem-solving systems that can tackle a wider range of computational search problems effectively.

Related Concepts

  • Machine Learning — A field of AI where systems learn patterns from data instead of following hard-coded rules.
  • Optimization — The mathematical process of finding parameter values that minimize a loss function.
  • Heuristic — A practical method or rule of thumb used to find a solution quickly, often sacrificing optimality for speed.
  • Search algorithm — A process for finding information or solutions within data or a problem space.

Further Reading

  • Wikipedia — Glossary of AI