21th AIAI 2025, 26 - 29 June 2025, Limassol, Cyprus

Improved Nested Markov Chain Hyper-heuristic framework. A clustering application.

Bándi Nándor, Gaskó Noémi

Abstract:

  Hyper-heuristics have a key role in solving challenging optimization problems. In this paper, we propose a new hyper-heuristic framework for continuous optimization problems. Numerical experiments conducted up to 750 dimensions for continuous benchmark problems prove the potential of the proposed framework. As an application, we present a clustering problem, where our proposed hyper-heuristic framework performs better than or similar to state-of-the-art clustering techniques.  

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