Hyper-Heuristic Approach for Tuning Parameter Adaptation in Differential Evolution

Hyper-Heuristic Approach for Tuning Parameter Adaptation in Differential Evolution

Differential evolution (DE) is one of the most promising black-box numerical optimization methods. However, DE algorithms suffer from the problem of control parameter settings. Various adaptation methods have been proposed, with success history-based adaptation being the most popular. However, hand-...

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Bibliographic Details
Main Authors: Vladimir Stanovov, Lev Kazakovtsev, Eugene Semenkin
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Axioms
Subjects:
numerical optimization
differential evolution
parameter adaptation
hyper-heuristic
Online Access:https://www.mdpi.com/2075-1680/13/1/59

Internet

https://www.mdpi.com/2075-1680/13/1/59

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