How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs
Author:
Affiliation:
1. Ecole Polytechnique, Palaiseau, France
2. Laboratoire d'Informatique (LIX), Palaiseau, France
3. École Polytechnique, Palaiseau, France
Funder
Agence National de Recherche
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583131.3590509
Reference57 articles.
1. Runtime analysis of selection hyper-heuristics with classical learning mechanisms
2. Lazy parameter tuning and control
3. Denis Antipov and Benjamin Doerr. 2020. Runtime analysis of a heavy-tailed (1 + (Λ, Λ)) genetic algorithm on jump functions. In Parallel Problem Solving From Nature, PPSN 2020, Part II. Springer, 545--559.
4. A Rigorous Runtime Analysis of the $$(1 + (\lambda , \lambda ))$$ GA on Jump Functions
5. Anne Auger and Benjamin Doerr (Eds.). 2011. Theory of Randomized Search Heuristics. World Scientific Publishing.
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